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Total 189 questions
You install SQL Server Reporting Services (SSRS).
You need to restore a copy of the symmetric key.
Which command should you run?
- A. rskeymgmt -d
- B. rskeymgmt -e -f %temp%\rs.key -p Password1
- C. rskeymgmt -i
- D. rskeymgmt -a -f %temp%\rs.key -p Password1
Answer : D
You are managing a SQL Server Reporting Services (SSRS) instance in native mode. A role named Folder Access Controller is present on the server.
The Folder Access Controller role consists of only the Set security for individual items task.
When role members open Report Manager, they cannot view folders.
You need to modify the Folder Access Controller role so that the role members can view folders.
Which task should you add to the Folder Access Controller role?
- A. Manage models
- B. Manage reports
- C. View reports
- D. Manage folders
Answer : D
You have a SQL Server Reporting Services (SSRS) instance. The instance has a report that displays 3 million records.
Users report that they experience performance issues when they use the report.
You need to ensure that the report renders as quickly as possible.
Which two actions should you perform? Each correct answer presents part of the solution.
- A. Enable versioning.
- B. Enable caching.
- C. Enable report history.
- D. Create snapshots.
- E. Implement pagination.
Answer : AB
You are working with a SQL Server Reporting Services (SSRS) instance in native mode. An item role named Reports Writer is present on the server.
The Reports Writer role cannot view and modify report caching parameters.
You need to ensure that the Reports Writer role can view and modify report caching parameters.
What should you do?
- A. Add the Manage all subscriptions task to the Reports Writer role.
- B. Add the Manage report history task to the Reports Writer role.
- C. Add the View data sources task to the Reports Writer role.
- D. Add the Manage individual subscriptions task to the Reports Writer role.
Answer : B
You are developing a SQL Server Analysis Services (SSAS) multidimensional project.
A fact table is related to a dimension table named DimScenario by a column named ScenarioKey.
The dimension table contains three rows for the following scenarios:
-> Actual
-> Budget Q1
-> Budget Q3
You need to create a dimension to allow users to view and compare data by scenario.
What should you do?
- A. Use role playing dimensions.
- B. Use the Business Intelligence Wizard to define dimension intelligence.
- C. Add a measure that uses the Count aggregate function to an existing measure group.
- D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
- E. Add a measure group that has one measure that uses the DistinctCount aggregate function.
- F. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
- G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
- H. Create several dimensions. Add each dimension to the cube.
- I. Create a dimension. Then add a cube dimension and link it several times to the measure group.
- J. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes. K. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group. L. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property
Answer : K
You are developing a SQL Server Analysis Services (SSAS) cube.
The data warehouse has a table named FactStock that is used to track movements of stock. A column named MovementQuantity contains quantities of stock. A positive quantity is used for input and negative quantity is used for output. A column named Movement Date is related to the time dimension. The quantity in stock, at a given point in time, can be evaluated as the sum of all MovementQuantity values at that point in time.
You need to create a measure that calculates the quantity in stock value.
What should you do?
- A. Use role playing dimensions.
- B. Use the Business Intelligence Wizard to define dimension intelligence.
- C. Add a measure that uses the Count aggregate function to an existing measure group.
- D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
- E. Add a measure group that has one measure that uses the DistinctCount aggregate function.
- F. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
- G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
- H. Create several dimensions. Add each dimension to the cube.
- I. Create a dimension. Then add a cube dimension and link it several times to the measure group.
- J. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes. K. Create a dimension with one attribute hierarchy. Set the IsAggrcgatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group. L. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property
Answer : G
You are designing a SQL Server Analysis Services (SSAS) cube.
You need to create a measure to count unique customers.
What should you do?
- A. Use role playing dimensions.
- B. Use the Business Intelligence Wizard to define dimension intelligence.
- C. Add a measure that uses the Count aggregate function to an existing measure group.
- D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
- E. Add a measure group that has one measure that uses the DistinctCount aggregate function.
- F. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
- G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
- H. Create several dimensions. Add each dimension to the cube.
- I. Create a dimension. Then add a cube dimension and link it several times to the measure group.
- J. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes. K. Create a dimension with one attribute hierarchy. Set the IsAggrcgatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group. L. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property
Answer : E
You are creating a SQL Server Analysis Services (SSAS) cube.
You need to create a time dimension. It must be linked to a measure group named Sales at the day granularity level. It must also be linked to a measure group named Salary at the month granularity level.
What should you do?
- A. Use role playing dimensions.
- B. Use the Business Intelligence Wizard to define dimension intelligence.
- C. Add a measure that uses the Count aggregate function to an existing measure group.
- D. Add a measure that uses the DistinctCount aggregate function to an existing measure group.
- E. Add a measure group that has one measure that uses the DistinctCount aggregate function.
- F. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.
- G. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.
- H. Create several dimensions. Add each dimension to the cube.
- I. Create a dimension. Then add a cube dimension and link it several times to the measure group.
- J. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes. K. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a regular relationship between the dimension and measure group. L. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property
Answer : J
You are developing a SQL Server Analysis Services (SSAS) cube for the sales department at your company.
The sales department requires the following set of metrics:
-> Unique count of customers
-> Unique count of products sold
-> Sum of sales
You need to ensure that the cube meets the requirements while optimizing query response time.
What should you do? (Each answer presents a complete solution. Choose all that apply.)
- A. Place the measures in a single measure group.
- B. Place the distinct count measures in separate measure groups.
- C. Use the additive measure group functions.
- D. Use the semiadditive measure group functions.
- E. Use the Count and Sum measure aggregation functions.
- F. Use the Distinct Count and Sum measure aggregation functions.
Answer : BF
DRAG DROP -
You are developing reports based on the SQL Server Analysis Services (SSAS) cube named ProcessedOrders.
A Multidimensional Expressions (MDX) query must include a query-scoped calculated member, which computes average sales per order item. The query must also return the set of three states in a query-scoped named set named East Coast Customers.
You need to define the calculations in an MDX query to meet the requirements.
Which four MDX segments should you insert in sequence before a SELECT statement? (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:
Note:
* Example #1:
WITH -
MEMBER [Measures].[Special Discount] AS
[Measures].[Discount Amount] * 1.5
SELECT -
[Measures].[Special Discount] on COLUMNS,
NON EMPTY [Product].[Product].MEMBERS ON Rows
FROM [Adventure Works]
WHERE [Product].[Category].[Bikes]
* Example 2:
WITH SET [ChardonnayChablis] AS -
{[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Good].[Good Chardonnay],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Pearl].[Pearl Chardonnay],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Portsmouth].[Portsmouth Chardonnay],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Top Measure].[Top Measure Chardonnay],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Walrus].[Walrus Chardonnay],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Good].[Good Chablis Wine],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Pearl].[Pearl Chablis Wine],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Portsmouth].[Portsmouth Chablis Wine],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Top Measure].[Top Measure Chablis Wine],
[Product].[All Products].[Drink].[Alcoholic Beverages].[Beer and Wine].[Wine].[Walrus].[Walrus Chablis Wine]}
SELECT -
[ChardonnayChablis] ON COLUMNS,
{Measures.[Unit Sales]} ON ROWS
FROM Sales -
Reference:
http://technet.microsoft.com/en-us/library/ms146017.aspx
http://technet.microsoft.com/en-us/library/ms145487.aspx
You work in the Business Intelligence (BI) department of a multinational company.
The company has requested a new corporate BI solution that meets the following requirements:
-> The solution must use SQL Server Analysis Services (SSAS).
-> The model must incrementally add 10 million fact rows per month.
The model must be translated to English, French, or Spanish based on users' locale.
-> The model must be able to contain the most recent 36 months of data.
You need to select the appropriate model type and partitioning strategy to meet the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
- A. Create a tabular model with one partition for all of the data.
- B. Create a multidimensional model with one partition for each month.
- C. Create a multidimensional model with one partition for all of the data.
- D. Create a tabular model with one partition for each month.
Answer : B
You are developing a BI Semantic Model (BISM) that will be used to analyze complex budgeting and forecast data sourced from a financial database. The model will be deployed to a server with 28 GB of RAM.
The source data, located in a SQL Server data warehouse, is currently using 15 terabytes of disk space and is doubling in size every month. The model will be queried by staff in the accounting department by using Microsoft Excel 2010.
You need to ensure the highest query performance and scalability for the accounting department queries.
Which project type should you choose?
- A. Tabular project that uses the In-Memory query mode
- B. PowerPivot workbook deployed to SharePoint
- C. Tabular project that uses the DirectQuery query mode
- D. Multidimensional project
Answer : D
HOTSPOT -
You have a database named DB1. DB1 contains three tables named FactSales, DimCustomer, and DimEmployee. A sample from DimEmployee is shown in the following table.
A sample from DimCustomer is shown in the following table.
A sample from FactSales is shown in the following table.
You create a cube named Sales that uses the three tables. FactSales is used as a fact table, DimCustomer is used to create a dimension named Customer, and
DimEmployee is used to create a dimension named Employee.
Users report the following issues:
-> When browsing the Customer dimension, the users see a blank member in the state hierarchy under United Kingdom.
When browsing the Employee dimension, the sales data for Sales Managers and Sales Supervisors is NOT displayed.
You need to resolve the issues by configuring the properties of the dimension attributes.
What should you do? To answer, select the appropriate value for each property in the answer area.
Hot Area:
Answer :
You are developing a BI Semantic Model (BISM) based on a simple and small dataset sourced from SQL Server. The data size and complexity of the data relationships will not change. The model will be used to produce reports in Power View.
You need to use an appropriate project type.
Which project types should you use? (Each answer presents a complete solution. Choose all that apply.)
- A. A tabular project that uses the In-Memory query mode
- B. A tabular project that uses the DirectQuery query mode
- C. A multidimensional project that uses the MOLAP storage mode
- D. A PowerPivot workbook that is deployed to Microsoft SharePoint Server 2010
- E. A multidimensional project that uses the ROLAP storage mode
Answer : ABD
Power View is a thin web client that launches right in the browser from a data model in SharePoint Server 2010. The model can be a PowerPivot model workbook or a tabular model running on a SQL Server 2012 Analysis Services (SSAS) server.
HOTSPOT -
You are designing a SQL Server Analysis Services (SSAS) cube that contains two measure groups named Sales History and Current Sales.
The Sales History measure group has the following characteristics:
-> Data changes on a monthly basis.
-> The measure group contains a very high data volume.
-> Queries that use the measure group only reference aggregate data.
-> The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
The Current Sales measure group has the following characteristics:
-> Data changes frequently.
-> The measure group contains a low data volume.
-> Queries that use the measure group often reference non-aggregate data.
-> The measure group includes SUM, MIN, MAX, and COUNT aggregate functions.
You need to select a storage mode for each measure group. The solution must meet the following requirements:
-> For the Sales History measure group, query performance must be optimized over data latency.
-> For the Current Sales measure group, data latency must be optimized over query performance.
What should you do? To answer, select the appropriate storage mode for each measure group in the answer area.
Hot Area:
Answer :
30 days access 