Microsoft DP-750 - Implementing Data Engineering Solutions Using Azure Databricks Exam
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Total 83 questions
Question #6 (Topic: Topic 1, Set up and configure an Azure Databricks environment
)
DRAG DROP
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named finance, finance contains two schemas named default and procurement.
You need to create a table named assets in the procurement schema, assets must contain the following columns:
asset_id
asset_type
asset_name
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a catalog named finance, finance contains two schemas named default and procurement.
You need to create a table named assets in the procurement schema, assets must contain the following columns:
asset_id
asset_type
asset_name
How should you complete the SQL statement? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer: 
Question #7 (Topic: Topic 1, Set up and configure an Azure Databricks environment
)
You have an Azure Databricks workspace that contains an all-purpose cluster named Cluster1.
You need to configure Cluster1 to meet the following requirements:
Scale up automatically when workloads increase
Scale down automatically when workloads decrease
Minimize costs
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You need to configure Cluster1 to meet the following requirements:
Scale up automatically when workloads increase
Scale down automatically when workloads decrease
Minimize costs
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Disable Photon acceleration.
B. Enable autoscaling for Cluster1.
C. Apply a compute policy that enables users to manage the cluster settings.
D. Specify a fixed number of workers.
E. Configure Cluster1 to terminate after 30 minutes of inactivity.
Answer: BE
Question #8 (Topic: Topic 1, Set up and configure an Azure Databricks environment
)
You have an Azure Databricks workspace that is enabled for Unity Catalog.
You have an Apache Spark Structured Streaming job that writes data to a Delta table.
After the cluster restarts, the streaming job reprocesses previously ingested data.
You need to prevent the streaming job from reprocessing the data after the cluster restarts.
What should you do?
You have an Apache Spark Structured Streaming job that writes data to a Delta table.
After the cluster restarts, the streaming job reprocesses previously ingested data.
You need to prevent the streaming job from reprocessing the data after the cluster restarts.
What should you do?
A. Configure a checkpoint location for the streaming query.
B. Increase the trigger interval of the streaming query.
C. Enable change data feed (CDF) for the target table.
D. Configure a watermark for the streaming query.
Answer: A
Question #9 (Topic: Topic 1, Set up and configure an Azure Databricks environment
)
HOTSPOT
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1.
Table1 is written by batch jobs every hour and is queried frequently by filtering two columns named CustomerId and EventDate.
You expect Table1 to grow significantly over time.
The rows in Table1 are frequently updated and deleted to support compliance requests.
You need to keep query performance consistent as Table1 grows. The solution must minimize update and deletion effort.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains a managed Delta table named Table1.
Table1 is written by batch jobs every hour and is queried frequently by filtering two columns named CustomerId and EventDate.
You expect Table1 to grow significantly over time.
The rows in Table1 are frequently updated and deleted to support compliance requests.
You need to keep query performance consistent as Table1 grows. The solution must minimize update and deletion effort.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer: 
Question #10 (Topic: Topic 1, Set up and configure an Azure Databricks environment
)
You have an Azure Databricks workspace that contains a cluster named Cluster1.
Performance monitoring shows that Cluster1 is consistently overprovisioned for its batch workload:
CPU utilization remains below 20 percent, including peak processing periods.
The workload is highly predictable and does not spike.
The current node type already meets the workload requirements.
You need to reduce compute costs without increasing job duration.
What should you do?
Performance monitoring shows that Cluster1 is consistently overprovisioned for its batch workload:
CPU utilization remains below 20 percent, including peak processing periods.
The workload is highly predictable and does not spike.
The current node type already meets the workload requirements.
You need to reduce compute costs without increasing job duration.
What should you do?
A. Enable Photon acceleration.
B. Configure Cluster1 to use a larger node type.
C. Decrease the autotermination timeout of Cluster1.
D. Disable autoscaling and reduce the number of worker nodes.
Answer: D
