[Free] 2019(Nov) EnsurePass Microsoft 70-466 Dumps with VCE and PDF 31-40

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Question No.66

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 namedMovementQuantity 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?

  1. Use role playing dimensions.

  2. Use the Business Intelligence Wizard to define dimension intelligence.

  3. Add a measure that uses the Count aggregate function to an existing measure group.

  4. Add a measure that uses the DistinctCount aggregate function to an existing measure group.

  5. Add a measure group that has one measure that uses the DistinctCount aggregate function.

  6. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.

  7. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.

  8. Create several dimensions. Add each dimension to the cube.

  9. Create a dimension. Then add a cube dimension and link it several times to the measure group.

  10. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.

  11. 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.

  12. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  13. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  14. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.

  15. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.

Correct Answer: G

Question No.67

You are designing a SQL Server Analysis Services (SSAS) cube. You need to create a measure to count unique customers. What should you do?

  1. Use role playing dimensions.

  2. Use the Business Intelligence Wizard to define dimension intelligence.

  3. Add a measure that uses the Count aggregate function to an existing measure group.

  4. Add a measure that uses the DistinctCount aggregate function to an existing measure group.

  5. Add a measure group that has one measure that uses the DistinctCount aggregate function.

  6. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.

  7. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.

  8. Create several dimensions. Add each dimension to the cube.

  9. Create a dimension. Then add a cube dimension and link it several times to the measure group.

  10. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.

  11. 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.

  12. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  13. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and

    then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  14. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.

  15. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.

Correct Answer: E

Question No.68

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?

  1. Use role playing dimensions.

  2. Use the Business Intelligence Wizard to define dimension intelligence.

  3. Add a measure that uses the Count aggregate function to an existing measure group.

  4. Add a measure that uses the DistinctCount aggregate function to an existing measure group.

  5. Add a measure group that has one measure that uses the DistinctCount aggregate function.

  6. Add a calculated measure based on an expression that counts members filtered by the Exists and NonEmpty functions.

  7. Add a hidden measure that uses the Sum aggregate function. Add a calculated measure aggregating the measure along the time dimension.

  8. Create several dimensions. Add each dimension to the cube.

  9. Create a dimension. Then add a cube dimension and link it several times to the measure group.

  10. Create a dimension. Create regular relationships between the cube dimension and the measure group. Configure the relationships to use different dimension attributes.

  11. 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.

  12. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  13. Create a dimension with one attribute hierarchy. Set the IsAggregatable property to False and then set the DefaultMember property. Use a many-to-many relationship to link the dimension to the measure group.

  14. Create a dimension with one attribute hierarchy. Set the ValueColumn property, set the IsAggregatable property to False, and then set the DefaultMember property. Configure the cube dimension so that it does not have a relationship with the measure group. Add a calculated measure that uses the MemberValue attribute property.

  15. Create a new named calculation in the data source view to calculate a rolling sum. Add a measure that uses the Max aggregate function based on the named calculation.

Correct Answer: J

Question No.69

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:

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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.)

  1. Place the measures in a single measure group.

  2. Place the distinct count measures in separate measure groups.

  3. Use the additive measure group functions.

  4. Use the semiadditive measure group functions.

  5. Use the Count and Sum measure aggregation functions.

  6. Use the Distinct Count and Sum measure aggregation functions.

Correct Answer: BF

Question No.70

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.)

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Correct Answer:

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Question No.71

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:

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The solution must use SQL Server Analysis Services (SSAS). The model must incrementally add 10 million fact rows per month.

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The model must be translated to English, French, or Spanish based on users#39; 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.)

  1. Create a tabular model with one partition for all of the data.

  2. Create a multidimensional model with one partition for each month.

  3. Create a multidimensional model with one partition for all of the data.

  4. Create a tabular model with one partition for each month.

Correct Answer: B

Question No.72

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?

  1. Tabular project that uses the In-Memory query mode

  2. PowerPivot workbook deployed to SharePoint

  3. Tabular project that uses the DirectQuery query mode

  4. Multidimensional project

Correct Answer: D

Question No.73

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.

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A sample from DimCustomer is shown in the following table.

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A sample from FactSales is shown in the following table.

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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:

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When browsing the Customer dimension, the users see a blank member in the state hierarchy under United Kingdom.

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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.

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Correct Answer:

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Question No.74

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.)

  1. A tabular project that uses the In-Memory query mode

  2. A tabular project that uses the DirectQuery query mode

  3. A multidimensional project that uses the MOLAP storage mode

  4. A PowerPivot workbook that is deployed to Microsoft SharePoint Server 2010

  5. A multidimensional project that uses the ROLAP storage mode

Correct Answer: ABD

Explanation:

The key is that the model is simple with a small dataset. Although powerview for multidimensional is now supported, either type Multidimensional model (MOLAP or ROLAP)is not appropriate as the development time and effort is much longer/harder and best suited to complex situations. You definitely would NOT need multidimensional with ROLAP configured as this is absolute overkill given the small size of the data. Tabular with Direct query is arguably overkill as well but given they didnt specify anything related to latency it is still an acceptable option.

Question No.75

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:

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Data changes on a monthly basis.

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The measure group contains a very high data volume.

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Queries that use the measure group only reference aggregate data.

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The measure group includes SUM, MIN, MAX, and COUNT aggregate functions. The Current Sales measure group has the following characteristics:

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Data changes frequently.

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The measure group contains a low data volume.

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Queries that use the measure group often reference non-aggregate data.

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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:

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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.

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Correct Answer:

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