[Free] 2017(Sep) EnsurePass Testking Microsoft 70-466 Dumps with VCE and PDF 41-50

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Implementing Data Models and Reports with Microsoft SQL Server 2014

Question No: 41 – (Topic 4)

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 IsAggregatable 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.

Answer: J

Question No: 42 – (Topic 4)

A multinational retailer has retail locations on several continents. A single SQL Server Reporting Services (SSRS) instance is used for global reporting.

A SQL Server Analysis Services (SSAS) instance for each continent hosts a multidimensional database named RetailSales. Each RetailSales database stores data only for the continent in which it resides. All of the SSAS instances are configured identically.

The cube names and objects are identical.

Reports must meet the following requirements:

->A report parameter named ServerName must be defined in each report.

->When running a report, users must be prompted to select a server instance.

->The report data source must use the Microsoft SQL Server Analysis Services data source type.

You need to create a data source to meet the requirements.

How should you define the expression that is assigned to the connection string property of the data source?

A. =quot;Server=quot; amp; ParametersIServerName.Value amp; quot;; Initial Catalog=RetailSalesquot;

B. =quot;Data Source=@ServerName; Initial Catalog=RetailSalesquot;

C. =quot;Data Source=quot; amp; Parameters!ServerName.Value amp; quot;;Initial Catalog=RetailSalesquot;

D. =quot;Server=quot; amp; Parameters!ServerName.Value

E. =quot;Server=@ServerName; Initial Catalog=RetailSalesquot;

Answer: C

Question No: 43 – (Topic 4)

You are managing a SQL Server Analysis Services (SSAS) tabular database.

The database must meet the following requirements:

->The processing must load data into partitions or tables.

->The processing must not rebuild hierarchies or relationships.

->The processing must not recalculate calculated columns.

You need to implement a processing strategy for the database to meet the requirements. Which processing mode should you use?

  1. Process Clear

  2. Process Data

  3. Process Add

  4. Process Full

  5. Process Default

Answer: C

Question No: 44 – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) tabular database.

To maximize performance, the queries must be resolved by using cache unless otherwise specified in the connection string.

You need to configure the appropriate query mode. Which query mode should you select?

  1. In-Memory with DirectQuery

  2. DirectQuery with In-Memory

  3. In-Memory

  4. DirectQuery

Answer: A

Question No: 45 DRAG DROP – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) multidimensional project that is configured to source data from a Microsoft Azure SQL Database database. The cube is processed each night at midnight.

The largest partition in the cube takes 12 hours to process, and users are unable to access the cube until noon. The partition must be available for querying as soon as possible after processing commences.

You need to ensure that the partition is available for querying as soon as possible, without using source data to satisfy the query.

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.)

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Answer:

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Explanation:

Box 1:

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Box 2:

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Box 3:

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Note:

  • Processing mode has two possible options.

    Regular. This is the default setting. When set to regular, partitions will be available to users after data has been loaded and aggregations are created completely.

    Lazy Aggregations. When set to lazy aggregations, partitions will be available to user queries immediately after data has been loaded. Aggregations will be created as a separate background process while users start to query the partition.

  • Lazy processing performs the task of building indexes and aggregations for dimensions and measure group partitions at a lower priority to reduce foreground processing time and to allow users to query the cube sooner. For lazy processing to occur, you must switch the ProcessingMode = LazyAggregations of your measure group partitions; by default this value is Regular (lazy processing is turned off). When processing a dimension with flexible aggregations such as parent-child or virtual dimension by using the processing enumeration of ProcessUpdate (such as to take into account of member name or hierarchy changes), lazy processing is initiated to ensure that the aggregations are rebuilt on the associated measure group partitions.

  • Configure Lazy Processing for the cube, measure group, or partition. If you configure Lazy Processing, the dropped aggregations are recalculated as a background task. While the flexible aggregations are being recalculated, users can continue to query the cube (without the benefit of the flexible aggregations). While the flexible aggregations are being recalculated, queries that would benefit from the flexible aggregations run slower because Analysis Services resolves these queries by scanning the fact data and then summarizing the data at query time. As the flexible aggregations are recalculated, they become available incrementally on a partition-by-partition basis. For a given cube, Lazy Processing is not enabled by default. You can configure it for a cube, measure group, or partition by changing the ProcessingMode property from Regular to LazyAggregations. To manage Lazy Processing, there are a series of server properties such as the LazyProcessing \ MaxObjectsInParallel setting, which controls the number of objects that can be lazy processed at a given time. By default it is set to 2. By increasing this number, you increase the number of objects processed in parallel; however, this also impacts query performance and should therefore be handled with care.

  • Incorrect: With Bring Online Immediately enabled, during cache refresh all queries are directed to the relational source database to retrieve the latest data for end users. While this provides users with refreshed data, it can also result in reduced query performance given that Analysis Services needs to redirect queries to the relational source database.

Question No: 46 DRAG DROP – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) cube.

You need to add a calculated member to the Customer dimension to evaluate the sum of values for the United Kingdom and the United States.

Which expression should you use? (To answer, drag the appropriate expression to the answer area.)

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Answer:

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Explanation:

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Question No: 47 – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) tabular project.

A column named City must be added to the table named Customer. The column will be used in the definition of a hierarchy. The City column exists in the Geography table that is related to the Customer table.

You need to add the City column to the Customer table. How should you write the calculation?

A. =RELATEDTABLE(Geography)

B. =RELATED(Geography[City])

C. =Geography[City]

  1. City:=Geography[City]

  2. City:=RELATED(Geography[City])

  3. City :=RELATEDTABLE (Geography)

Answer: B

Question No: 48 DRAG DROP – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) cube.

You need to reuse a Revenue measure group from a different database.

In SQL Server Data Tools (SSDT), 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.)

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Answer:

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Explanation:

Box 1:

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Box 2:

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Box 3:

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Note:

  • you can use the Linked Object Wizard to add a measure group from another database

  • You can use the Linked Object Wizard to either link to or import cubes, dimensions, measure groups, calculations, and Key Performance Indicators (KPIs). You can link to or import these items from another database on the same server or from a database on a remote server

  • The Linked Object Wizard guides you through the following steps:

Selecting the Analysis Services data source from which to link or import objects. Selecting the objects from which to link or import.

Saving the changes.

Create or modify a linked measureUse SQL Server Data Tools to create a linked measure group.

->Finalize any modifications to the original measure group now, in the source cube,

so that you don#39;t have to recreate the linked measure groups later in subsequent cubes. You can rename a linked object, but you cannot change any other properties.

->In Solution Explorer, double-click the cube to which you are adding the linked measure group. This step opens the cube in Cube Designer.

->In Cube Designer, in either the Measures pane or Dimensions pane, right-click

anywhere in either pane, then select New Linked Object. This starts the Linked Object Wizard.

->On the first page, specify the data source. This step establishes the location of the

original measure group. The default is the current cube in the current database, but you can also choose a different Analysis Services database.

->On the next page, choose the measure group or dimension you want to link.

Dimensions and Cube objects, such as measure groups, are listed separately. Only those objects not already present in the current cube are available.

->Click Finish to create the linked object. Linked objects appear in the Measures and

Dimensions pane, indicated by the link icon.

Ref: http://msdn.microsoft.com/en-us/library/ms174899(v=sql.110).aspx

Question No: 49 DRAG DROP – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) multidimensional project that is configured to source data from a SQL Azure database.

You plan to use multiple servers to process different partitions simultaneously. You create and configure a new data source.

You need to create a new partition and configure SQL Server Analysis Services (SSAS) to use a remote server to process data contained within the partition.

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.)

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Answer:

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Explanation:

Box 1:

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Box 2:

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Box 3:

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Note:

  • You create a remote partition using the Partition Wizard. On the Specify Processing and Storage Options page, for the Remote Analysis Services data source, specify the dedicated database on the remote instance of Analysis Services. This instance of Analysis Services is called the remote server of the remote partition. For Storage location, you can specify the default data location for the remote server or a specified folder on the server.

    You must create an Analysis Services database on the remote server and provide appropriate security settings. An additional OLAP data source is created on the remote database pointing to the server on which the partition is defined. The MasterDatasourceID property setting on the remote database points to the data source which, in turn, points to the master server. This property is only set on a database that contains remote partitions.

    The RemoteDatasourceID property setting on the remote partition specifies the ID of the OLAP data source on the master server that points to the remote server. A remote database can only host remote partitions for a single server.

  • Before you create a remote partition, the following conditions must be met:

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->uk.co.certification.simulator.questionpool.PList@1aa6aa20

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The domain user account for the local instance of Analysis Services must have administrative access to the remote database.

Question No: 50 – (Topic 4)

You are developing a SQL Server PowerPivot workbook that sources data from a Microsoft Azure SQL Database database. The PowerPivot model includes a single table named FactSales that consists of four columns named Year, Country, Product and Revenue. The model includes the following two measures.

->Sales:=SUM(FactSales[Revenue])

->Sales %:=[Sales] / CALCULATE([Sales], ALL(FactSales))

In Microsoft Excel 2010 you create the following PivotTable report.

Ensurepass 2017 PDF and VCE

Users report that the Sales % measure computes an incorrect ratio. The measure should

meet a requirement to compute a ratio over all visible sales values defined by the query filters. The Grand Total value for the Sales % measure should equal 100%.

You need to fix the Sales % measure to meet the requirement. Which Data Analysis Expressions (DAX) expression should you use?

A. = [Sales] / CALCULATE([Sales])

B. = [sales] / [Sales](ALLSELECTED(FactSales))

C. = [sales] / CALCULATE([Sales], VALUES(FactSales[Year]), VALUES(FactSales[Country]))

D. = [sales] / [Sales](ALLEXCEPT(FactSales, FactSales[Year]))

Answer: B

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