Microsoft Azure IoT Developer v1.0 (AZ-220)

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Total 135 questions

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a custom Azure IoT Edge module.
The module needs to identify the device ID of the local device.
Solution: You configure the module to read the ProductInfo property of ModuleClient.
Does this meet the goal?

  • A. Yes
  • B. No


Answer : B

Explanation:
Instead read the device ID of the device twin.
Note: Device twins are JSON documents that store device state information including metadata, configurations, and conditions. Azure IoT Hub maintains a device twin for each device that you connect to IoT Hub.
Device identity properties. The root of the device twin JSON document contains the read-only properties from the corresponding device identity stored in the identity registry.
Reference:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-device-twins

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a custom Azure IoT Edge module.
The module needs to identify the device ID of the local device.
Solution: You configure the module to read the device ID of the device twin.
Does this meet the goal?

  • A. Yes
  • B. No


Answer : A

Explanation:
Device twins are JSON documents that store device state information including metadata, configurations, and conditions. Azure IoT Hub maintains a device twin for each device that you connect to IoT Hub.
Device identity properties. The root of the device twin JSON document contains the read-only properties from the corresponding device identity stored in the identity registry.
Reference:
https://docs.microsoft.com/en-us/azure/iot-hub/iot-hub-devguide-device-twins

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure IoT solution that includes an Azure IoT hub and an Azure IoT Edge device.
You plan to deploy 10 Bluetooth sensors. The sensors do not support MQTT, AMQP, or HTTPS.
You need to ensure that all the sensors appear in the IoT hub as a single device.
Solution: You configure the IoT Edge device as an IoT Edge transparent gateway. You configure the sensors to connect to the device.
Does this meet the goal?

  • A. Yes
  • B. No


Answer : B

Explanation:
IoT Edge transparent gateways support only the MQTT or AMQP protocols.
Instead use a translation gateway.
IoT Hub. The translation module receives messages from downstream devices, translates them into a supported protocol, and then the IoT Edge device sends the messages on behalf of the downstream devices. All information looks like it is coming from one device, the gateway.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/iot-edge-as-gateway

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure IoT solution that includes an Azure IoT hub and an Azure IoT Edge device.
You plan to deploy 10 Bluetooth sensors. The sensors do not support MQTT, AMQP, or HTTPS.
You need to ensure that all the sensors appear in the IoT hub as a single device.
Solution: You configure the sensors to connect directly to the IoT hub.
Does this meet the goal?

  • A. Yes
  • B. No


Answer : B

Explanation:
Instead use a translation gateway.
Note: In the protocol translation gateway pattern, only the IoT Edge gateway has an identity with IoT Hub. The translation module receives messages from downstream devices, translates them into a supported protocol, and then the IoT Edge device sends the messages on behalf of the downstream devices. All information looks like it is coming from one device, the gateway.
Reference:
https://docs.microsoft.com/en-us/azure/iot-edge/iot-edge-as-gateway

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
A company named Contoso, Ltd. is creating a building monitoring system that will monitor the temperature, humidity, and light level at various points in a building's internal structure.
Contoso will test the system at a single building located in the United Kingdom. The building has 25 floors. Each floor has 15 rooms.
Existing Environment. Current State of Development
Contoso produces a set of Bluetooth sensors that read the temperature and humidity. The sensors connect to IoT gateway devices that relay the data.
All the IoT gateway devices connect to an Azure IoT hub named iothub1.
Existing Environment. Device Twin
You plan to implement device twins by using the following JSON sample.


Existing Environment. Azure Stream Analytics
Each room will have between three to five sensors that will generate readings that are sent to a single IoT gateway device. The IoT gateway device will forward all the readings to iothub1 at intervals of between 10 and 60 seconds.
You plan to use a gateway pattern so that each IoT gateway device will have its own IoT Hub device identity.
You draft the following query, which is missing the GROUP BY clause.

SELECT -
AVG(temperature),

System.TimeStamp() AS AsaTime -

FROM -

Iothub -
You plan to use a 30-second period to calculate the average temperature reading of the sensors.
You plan to minimize latency between the condition reported by the sensors and the corresponding alert issued by the Stream Analytics job.
Existing Environment. Device Messages
The IoT gateway devices will send messages that contain the following JSON data whenever the temperature exceeds a specified threshold.

The level property will be used to route the messages to an Azure Service Bus queue endpoint named criticalep.

Existing Environment. Issues -
You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages.

Requirements. Planned Changes -
Contoso plans to make the following changes:
Use Stream Analytics to process and view data.
Use Azure Time Series Insights to visualize data.
Implement a system to sync device statuses and required settings.
Add extra information to messages by using message enrichment.
Create a notification system to send an alert if a condition exceeds a specified threshold.
Implement a system to identify what causes the intermittent connection issues and lost messages.
Requirements. Technical Requirements
Contoso must meet the following technical requirements:
Use the built-in functions of IoT Hub whenever possible.
Minimize hardware and software costs whenever possible.
Minimize administrative effort to provision devices at scale.
Implement a system to trace message flow to and from iothub1.
Minimize the amount of custom coding required to implement the planned changes.
Prevent read operations from being negatively affected when you implement additional services.

You plan to deploy Azure Time Series Insights.
What should you create on iothub1 before you deploy Time Series Insights?

  • A. a new message route
  • B. a new consumer group
  • C. a new shared access policy
  • D. an IP filter rule


Answer : B

Explanation:
Create a dedicated consumer group in the IoT hub for the Time Series Insights environment to consume from. Each Time Series Insights event source must have its own dedicated consumer group that isn't shared with any other consumer. If multiple readers consume events from the same consumer group, all readers are likely to exhibit failures.
Reference:
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-how-to-add-an-event-source-iothub

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
A company named Contoso, Ltd. is creating a building monitoring system that will monitor the temperature, humidity, and light level at various points in a building's internal structure.
Contoso will test the system at a single building located in the United Kingdom. The building has 25 floors. Each floor has 15 rooms.
Existing Environment. Current State of Development
Contoso produces a set of Bluetooth sensors that read the temperature and humidity. The sensors connect to IoT gateway devices that relay the data.
All the IoT gateway devices connect to an Azure IoT hub named iothub1.
Existing Environment. Device Twin
You plan to implement device twins by using the following JSON sample.


Existing Environment. Azure Stream Analytics
Each room will have between three to five sensors that will generate readings that are sent to a single IoT gateway device. The IoT gateway device will forward all the readings to iothub1 at intervals of between 10 and 60 seconds.
You plan to use a gateway pattern so that each IoT gateway device will have its own IoT Hub device identity.
You draft the following query, which is missing the GROUP BY clause.

SELECT -
AVG(temperature),

System.TimeStamp() AS AsaTime -

FROM -

Iothub -
You plan to use a 30-second period to calculate the average temperature reading of the sensors.
You plan to minimize latency between the condition reported by the sensors and the corresponding alert issued by the Stream Analytics job.
Existing Environment. Device Messages
The IoT gateway devices will send messages that contain the following JSON data whenever the temperature exceeds a specified threshold.

The level property will be used to route the messages to an Azure Service Bus queue endpoint named criticalep.

Existing Environment. Issues -
You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages.

Requirements. Planned Changes -
Contoso plans to make the following changes:
Use Stream Analytics to process and view data.
Use Azure Time Series Insights to visualize data.
Implement a system to sync device statuses and required settings.
Add extra information to messages by using message enrichment.
Create a notification system to send an alert if a condition exceeds a specified threshold.
Implement a system to identify what causes the intermittent connection issues and lost messages.
Requirements. Technical Requirements
Contoso must meet the following technical requirements:
Use the built-in functions of IoT Hub whenever possible.
Minimize hardware and software costs whenever possible.
Minimize administrative effort to provision devices at scale.
Implement a system to trace message flow to and from iothub1.
Minimize the amount of custom coding required to implement the planned changes.
Prevent read operations from being negatively affected when you implement additional services.

How should you complete the GROUP BY clause to meet the Streaming Analytics requirements?

  • A. GROUP BY HoppingWindow(Second, 60, 30)
  • B. GROUP BY TumblingWindow(Second, 30)
  • C. GROUP BY SlidingWindow(Second, 30)
  • D. GROUP BY SessionWindow(Second, 30, 60)


Answer : B

Explanation:
Scenario: You plan to use a 30-second period to calculate the average temperature reading of the sensors.
Tumbling window functions are used to segment a data stream into distinct time segments and perform a function against them, such as the example below. The key differentiators of a Tumbling window are that they repeat, do not overlap, and an event cannot belong to more than one tumbling window.
Incorrect Answers:
A: Hopping window functions hop forward in time by a fixed period. It may be easy to think of them as Tumbling windows that can overlap, so events can belong to more than one Hopping window result set.
Reference:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-window-functions

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
A company named Contoso, Ltd. is creating a building monitoring system that will monitor the temperature, humidity, and light level at various points in a building's internal structure.
Contoso will test the system at a single building located in the United Kingdom. The building has 25 floors. Each floor has 15 rooms.
Existing Environment. Current State of Development
Contoso produces a set of Bluetooth sensors that read the temperature and humidity. The sensors connect to IoT gateway devices that relay the data.
All the IoT gateway devices connect to an Azure IoT hub named iothub1.
Existing Environment. Device Twin
You plan to implement device twins by using the following JSON sample.


Existing Environment. Azure Stream Analytics
Each room will have between three to five sensors that will generate readings that are sent to a single IoT gateway device. The IoT gateway device will forward all the readings to iothub1 at intervals of between 10 and 60 seconds.
You plan to use a gateway pattern so that each IoT gateway device will have its own IoT Hub device identity.
You draft the following query, which is missing the GROUP BY clause.

SELECT -
AVG(temperature),

System.TimeStamp() AS AsaTime -

FROM -

Iothub -
You plan to use a 30-second period to calculate the average temperature reading of the sensors.
You plan to minimize latency between the condition reported by the sensors and the corresponding alert issued by the Stream Analytics job.
Existing Environment. Device Messages
The IoT gateway devices will send messages that contain the following JSON data whenever the temperature exceeds a specified threshold.

The level property will be used to route the messages to an Azure Service Bus queue endpoint named criticalep.

Existing Environment. Issues -
You discover connectivity issues between the IoT gateway devices and iothub1, which cause IoT devices to lose connectivity and messages.

Requirements. Planned Changes -
Contoso plans to make the following changes:
Use Stream Analytics to process and view data.
Use Azure Time Series Insights to visualize data.
Implement a system to sync device statuses and required settings.
Add extra information to messages by using message enrichment.
Create a notification system to send an alert if a condition exceeds a specified threshold.
Implement a system to identify what causes the intermittent connection issues and lost messages.
Requirements. Technical Requirements
Contoso must meet the following technical requirements:
Use the built-in functions of IoT Hub whenever possible.
Minimize hardware and software costs whenever possible.
Minimize administrative effort to provision devices at scale.
Implement a system to trace message flow to and from iothub1.
Minimize the amount of custom coding required to implement the planned changes.
Prevent read operations from being negatively affected when you implement additional services.


HOTSPOT -
You need to use message enrichment to add additional device information to messages sent from the IoT gateway devices when the reported temperature exceeds a critical threshold.
How should you configure the enrich message values? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:



Answer :

Reference:
https://docs.microsoft.com/bs-cyrl-ba/azure/iot-hub/iot-hub-message-enrichments-overview

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
ADatum Corporation is an international manufacturing company that has 3,000 employees.
ADatum has a main office in New York and more than 100 branch offices worldwide.

Requirements. Planned Changes -
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.

Requirements. POV Requirements -
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire device fleet and issue alerts for devices that exceed the median rate by a factor of 4.


Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution supports up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within
10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.


Requirements. IoT Hub Routing -
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.


You need to configure Stream Analytics to meet the POV requirements.
What are two ways to achieve the goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. From IoT Hub, create a custom event hub endpoint, and then configure the endpoint as an input to Stream Analytics.
  • B. Create a Stream Analytics module, and then deploy the module to all IoT Edge devices in the fleet.
  • C. Create an input in Stream Analytics that uses the built-in events endpoint of IoT Hub as the source.
  • D. Route telemetry to an Azure Blob storage custom endpoint, and then configure the Blob storage as a reference input for Stream Analytics.


Answer : AC

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
ADatum Corporation is an international manufacturing company that has 3,000 employees.
ADatum has a main office in New York and more than 100 branch offices worldwide.

Requirements. Planned Changes -
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.

Requirements. POV Requirements -
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire device fleet and issue alerts for devices that exceed the median rate by a factor of 4.


Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution supports up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within
10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.


Requirements. IoT Hub Routing -
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.



DRAG DROP -
You need to add Time Series Insights to the solution to meet the pilot requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:



Answer :

Explanation:
Step 1: Provision Time Series Insights
Select Provision new IoT Hub to create a new IoT hub.
Step 2: Route telemetry from IoT Hub to a custom event.
Step 3: Add a data access policy to Time Series Insights for the dashboard web app
Scenario: Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Incorrect Answers:
No need to use an endpoint.
Reference:
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-update-create-environment

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
ADatum Corporation is an international manufacturing company that has 3,000 employees.
ADatum has a main office in New York and more than 100 branch offices worldwide.

Requirements. Planned Changes -
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.

Requirements. POV Requirements -
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire device fleet and issue alerts for devices that exceed the median rate by a factor of 4.


Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution supports up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within
10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.


Requirements. IoT Hub Routing -
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.


You need to store the real-time alerts generated by Stream Analytics to meet the technical requirements.
Which type of Stream Analytics output should you configure?

  • A. Azure Blob storage
  • B. Microsoft Power BI
  • C. Azure Cosmos DB
  • D. Azure SQL Database


Answer : A

Explanation:
When you create a Time Series Insights Preview pay-as-you-go (PAYG) SKU environment, you create two Azure resources:
✑ An Azure Storage general-purpose V1 blob account for cold data storage.
✑ An Azure Time Series Insights Preview environment that can be configured for warm data storage.
Reference:
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-update-storage-ingress

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
ADatum Corporation is an international manufacturing company that has 3,000 employees.
ADatum has a main office in New York and more than 100 branch offices worldwide.

Requirements. Planned Changes -
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.

Requirements. POV Requirements -
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire device fleet and issue alerts for devices that exceed the median rate by a factor of 4.


Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution supports up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within
10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.


Requirements. IoT Hub Routing -
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.


You need to recommend the format of telemetry messages to meet the POV requirements.
What should you recommend?

  • A. XML
  • B. Avro
  • C. JSON


Answer : C

Explanation:

Scenario: POV Requirements -
Ensure that all message content during this phase is human readable to simplify debugging.


Avro uses a binary format, so it is not human readable.
The more lightweight JSON (Javascript object notation) has become a popular alternative to XML for various reasons. A couple obvious ones are:
✑ Less verbose- XML uses more words than necessary
✑ JSON is faster- Parsing XML software is slow and cumbersome.
Reference:
https://blog.cloud-elements.com/json-better-xml

Case Study -
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.

To start the case study -
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.

Overview -
ADatum Corporation is an international manufacturing company that has 3,000 employees.
ADatum has a main office in New York and more than 100 branch offices worldwide.

Requirements. Planned Changes -
ADatum is developing an Azure IoT solution to monitor environmental conditions. The IoT solution consists of hardware devices and cloud services. All the devices will communicate directly to Azure IoT Hub.
The hardware devices will be deployed to the branch offices and will collect data about various environmental conditions such as temperature, humidity, air quality, and noise level. The devices will be wired by using Power over Ethernet (PoE) connections.
ADatum is developing the solution in the following three phases: proof of value (POV), pilot, and production.

Requirements. POV Requirements -
The POV phase will demonstrate that a technical solution is viable. During this phase, 100 devices will be deployed to the main office and Azure Stream Analytics will be connected to an IoT hub to generate real-time alerts. Stream Analytics will perform the following processing:
Calculate the median rate of the telemetry across the entire device fleet and issue alerts for devices that exceed the median rate by a factor of 4.


Compare the current telemetry to the specified thresholds and issue alerts when telemetry values are out of range.
Ensure that all message content during this phase is human readable to simplify debugging.
Requirements. Pilot Requirements
During the pilot phase, devices will be deployed to 10 offices. Each office will have up to 1,000 devices.
During this phase, you will add Azure Time Series Insights in parallel to Stream Analytics to support real-time graphs and queries in a dashboard web app.
The pilot deployment must minimize operating costs.
Requirements. Production Requirements
The production phase will include all the offices.
The production deployment will have one IoT hub in each Azure region. Devices must connect to the IoT hub in their region.
The production phase must meet the following requirements:
Ensure that the IoT solution can support performance and scale targets.
Ensure that the IoT solution supports up to 1,000 devices per office.
Minimize operating costs of the IoT solution.
Requirements. Technical Requirements
Datum identifies the following requirements for the planned IoT solution:
The solution must generate real-time alerts when a fire condition is detected in an office. All the devices in that office must trigger an audible alarm siren within
10 seconds of the alert.
A dashboard UI must display alerts and the system status in real time and must allow device operators to make adjustments to the system.
Each device will send hourly updates to IoT Hub. Condition alerts will be sent immediately.
Multiple types of devices will collect telemetry that has different schemas.
IoT Hub must perform message routing based on the message body.
Direct methods must be used for cloud-to-device communication.
Reports must be provided monthly, quarterly, and annually.
Stored data queries must be as efficient as possible.
The device message size will be under 4 KB.
Development effort must be minimized.
Requirements. Throttle and Quotas
The relevant throttles and quotas for various IoT Hub tiers are shown in the following table.


Requirements. IoT Hub Routing -
You plan to implement IoT Hub routing during the POV phase as shown in the following exhibit.


During the POV phase, telemetry from IoT Hub stops flowing to the hot path. The cold path continues to work.
What should you do to restore the hot path?

  • A. Disable the fallback route.
  • B. Run the Test all routes action.
  • C. Create an explicit route for the hot path.
  • D. Modify cold-route to send only some telemetry data to the cold path.


Answer : C

You have 100 devices that connect to an Azure IoT hub.
You plan to use Azure functions to process all the telemetry messages from the devices before storing the messages.
You need to configure the functions binding for the IoT hub.
Which two configuration details should you use to configure the binding? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. the name of the resource group that contains the IoT hub
  • B. the IoT hub's connection string shared access key that has Service connect permissions
  • C. the connection string of the Azure Event Hub-compatible endpoint from the IoT Hub built-in endpoints
  • D. the Azure Event-Hub compatible name


Answer : CD

Explanation:
EventHubName: Functions 2.x and higher. The name of the event hub. When the event hub name is also present in the connection string, that value overrides this property at runtime.
Connection: The name of an app setting that contains the connection string to the event hub's namespace. Copy this connection string by clicking the Connection
Information button for the namespace, not the event hub itself. This connection string must have send permissions to send the message to the event stream.
Reference:
https://docs.microsoft.com/en-us/azure/azure-functions/functions-bindings-event-iot-output

HOTSPOT -
You have an Azure IoT hub named Hub1 and an Azure Time Series Insights environment named tsi1. Tsi1 connects to Hub1. The solution has been operational for 6 months.
Tsi1 is configured as shown in the following exhibit.


Hub1 receives 1 million messages per day. Each message is up to 1 KB and is formatted as JSON.
Hub1 has seven days of retained telemetry.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:



Answer :

Reference:
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-overview

DRAG DROP -
You have an instance of Azure Time Series Insights and an Azure IoT hub that receives streaming telemetry from IoT devices.
You need to configure Time Series Insights to receive telemetry from the devices.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Select and Place:




Answer :

Explanation:
Step 1: Create a dedicated consumer group..
Add a consumer group to your IoT hub.
Applications use consumer groups to pull data from Azure IoT Hub. To reliably read data from your IoT hub, provide a dedicated consumer group that's used only by this Time Series Insights environment.
Step 2: Add a new Time Series Insights event source.

Add a new event source -
1. Sign in to the Azure portal.
2. In the left menu, select All resources. Select your Time Series Insights environment.
3. Under Settings, select Event Sources, and then select Add.
4. In the New event source pane, for Event source name, enter a name that's unique to this Time Series Insights environment. For example, enter event-stream.
Step 3: Configure the Time Series event source to connect to an existing IOT hub
Step 4: For Source, select IoT Hub.
Step 5: Select a value for Import option:
If you already have an IoT hub in one of your subscriptions, select Use IoT Hub from available subscriptions. This option is the easiest approach.


Reference:
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-how-to-add-an-event-source-iothub

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