[Free] 2017(Sep) EnsurePass Testking Microsoft 70-466 Dumps with VCE and PDF 61-70

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Implementing Data Models and Reports with Microsoft SQL Server 2014

Question No: 61 – (Topic 4)

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

A model contains tables and columns that must not be visible to the user. The columns and tables cannot be removed because they are used in calculations.

You need to hide the tables and columns. What should you do?

  1. In the Properties window for the applicable tables and columns, set the Visible property to True.

  2. Right-click the applicable tables and columns and select the Hide option.

  3. Right-click the applicable tables and columns and select the Hide from Client Tools option.

  4. In the Properties window for the applicable tables and columns, set the Enabled property to False.

Answer: C

Question No: 62 DRAG DROP – (Topic 4)

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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Answer:

Ensurepass 2017 PDF and VCE

Explanation:

Box 1:

Box 2:

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Box 3:

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Box 4:

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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

Question No: 63 DRAG DROP – (Topic 4)

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

You identify that a dimension, which has a large number of attributes, is issuing a separate (SELECT DISTINCT) query for each attribute even though they all come from a single database table. The table does not have a large number of rows.

You need to configure the processing of the dimension to issue only a single SQL query to the underlying database, and processing must continue if any errors are encountered.

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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Question No: 64 – (Topic 4)

You are designing a SQL Server Reporting Services (SSRS) report that sources data from a Microsoft Azure SQL Database database.

The report must display the value and status of a Key Performance Indicator (KPI).

Which report item should you use? (Each answer presents a complete solution. Choose all that apply.)

  1. Indicator

  2. Data Bar

  3. Image

  4. Sparkline

  5. Gauge

Answer: A,E

Question No: 65 – (Topic 4)

You are developing a multidimensional project that includes a dimension named Organization. The dimension is based on the DimOrganization table in the data warehouse. The following diagram illustrates the table design.

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The Organization dimension includes a parent-child hierarchy named Organizations. The dimension includes the following dimension attributes:

->Organization, which is a key attribute

->Organizations, which defines the parent-child hierarchy

->Currency Code, which is a regular attribute

->PercentageOfOwnership, which is a regular attribute

When users browse the dimension, four hierarchies are visible to them.

You need to ensure that the Organization and PercentageOfOwnership hierarchies are not visible to users.

What should you do?

  1. Set the AttributeHierarchyVisible property to False for the Organization and PercentageOfOwnership attributes.

  2. Set the AttributeHierarchyEnabled property to False for the Organization and PercentageOfOwnership attributes.

  3. Delete the Organization and the PercentageOfOwnership attributes.

  4. Set the AttributHierarchyDisplayFolder property to Null for the Organization and PercentageOfOwnership attributes.

Answer: A

Question No: 66 – (Topic 4)

You are developing a SQL Server Analysis Services (SSAS) cube. The cube contains several dimensions, a local measure group, and a linked measure group. Both measure

groups use MOLAP partitions.

You need to write-enable one of the linked measure group partitions to support Microsoft Excel 2010 PivotTable What-If Analysis.

What should you do before the partition can be write-enabled?

  1. Implement the cube as a local cube.

  2. Ensure that the measure group measures only use semiadditive aggregation functions.

  3. Implement the linked measure group as a local measure group.

  4. Ensure that the measure group measures only use nonadditive aggregation functions

Answer: C

Question No: 67 – (Topic 4)

You are adding dimensions and a new measure group named Accounts Receivable to an existing SQL Server Analysis Services (SSAS) cube.

Date is one of the existing dimensions in the SSAS database. The underlying fact table for the measure group is associated with multiple dates, including InvoiceDate, DueDate and PaymentDate.

You need to ensure that users can slice the Accounts Receivable measures by InvoiceDate, DueDate, and PaymentDate. You also need to ensure that the time required to process the database is minimized.

What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

  1. Create three new perspectives named InvoiceDate, DueDate, and PaymentDate.

  2. Create three independent dimensions named InvoiceDate, DueDate and PaymentDate and then link all three of them to the Accounts Receivable measure group.

  3. Create cube dimensions named InvoiceDate, DueDate, and PaymentDate by using the existing Date dimension in the database.

  4. Add three attributes named InvoiceDate, DueDate, and PaymentDate to the existing Date dimension in the database.

Answer: C

Question No: 68 – (Topic 4)

A production SQL Server Analysis Services (SSAS) cube is processed daily. The users query products by using a hierarchy named Products from a dimension named Product.

The DimProduct table in the data source view is used as the source of the Product dimension. The table has the following structure.

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The Product dimension has three attribute hierarchies:

->Product

->Subcategory

->Category

The attributes have the following relationships defined: Product gt; Subcategory gt; Category. Each attribute has a key and a name sourced from the related key and name columns in the DimProduct table.

During processing, you receive the following error message: #39;Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table: #39;dbo_DimProduct#39;, Column: #39;SubCategoryKey1, Value: quot;23#39;. The attribute is Subcategory#39;.quot;

You verify that the data is accurate.

You need to ensure that the dimension processes successfully.

What should you do?

  1. Delete the Products hierarchy.

  2. Relate the Subcategory and Category attributes directly to the Product attribute.

  3. Remove the duplicate data from the DimProduct table.

  4. Remove the Subcategory attribute.

Answer: B

Question No: 69 HOTSPOT – (Topic 4)

A sales cube contains two years of data.

The sales team must see year-over-year (YOY) and month-over-month (MOM) sales metrics.

You need to modify the cube to support the sales team#39;s requirements.

Which Business Intelligence Wizard enhancements should you use? (To answer, configure the appropriate option or options in the dialog box in the answer area.)

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Answer:

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Explanation:

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C:\Users\Kamran\Desktop\02.png

Question No: 70 HOTSPOT – (Topic 4)

A SQL Server Analysis Services (SSAS) cube has roles to define dimension data security. A role named USA allows users to browse data pertaining to the United States. A role named Canada allows users to browse data pertaining to Canada.

A user can browse sales data pertaining to the United States but cannot browse sales data pertaining to Canada. You validate that the user belongs to the USA and Canada roles.

You need to reproduce the issue in SQL Server Management Studio (SSMS).

Which option should you select? To answer, select the appropriate action in the answer area.

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Answer:

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