Online Access Free 70-466 Exam Questions

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.

The Product dimension has three attribute hierarchies:
* Product
* Subcategory
* Category
The attributes have the following relationships defined: Product > Subcategory > 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: 'Errors in the OLAP storage engine: A duplicate attribute key has been found when processing: Table:
'dbo_DimProduct', Column: 'SubCategoryKey1, Value: "23'. The attribute is Subcategory'." You verify that the data is accurate.
You need to ensure that the dimension processes successfully.
What should you do?

• A.Remove the duplicate data from the DimProduct table.
• B.Relate the Subcategory and Category attributes directly to the Product attribute.
• C.Delete the Products hierarchy.
• D.Remove the Subcategory attribute.

You are modifying a SQL Server Analysis Services (SSAS) cube.
Users of the cube report that the precision for the TransactionCost measure is five digits.
You need to ensure that the TransactionCost measure stores values to two digits of precision.
What should you do?

• A.Use the FormatString measure property to format TransactionCost as Currency.
• B.Use the FormatString measure property to format TransactionCost as #, ##0.00;-
  #,##0.00.
• C.Use the MeasureExpression measure property to change the precision of TransactionCost to two digits.
• D.Add a named query in the data source view that casts the data source column to two digits of precision. Bind the TransactionCost measure to the new query.
• E.Add a named calculation in the data source view that casts the data source column to two digits of precision. Bind the TransactionCost measure to the new column.

HOTSPOT
You maintain a multidimensional Business Intelligence Semantic Model (BISM) that was developed with default settings.
The model has one cube and the cube has one measure group. The measure group is based on a very large fact table and is partitioned by month. The fact table is incrementally loaded each day with approximately 800,000 new rows.
You need to ensure that all rows are available in the cube while minimizing the processing time.
Which processing option should you use? (To answer, select the appropriate option in the answer area.)

Correct Answer:

Explanation:
Process Add

You need to ascertain why Marc did not receive his reports.
What should you do?

• A.Use the Windows Event Viewer to search the Application log for errors.
• B.Use SQL Server Management Studio to search the SQL Server logs for errors.
• C.Search the ReportServerService_<timestamp>.log file for errors.
• D.Search the registry for errors.

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.)

Correct Answer:

Explanation:
Box 1:

Box 2:

Box 3:

Box 4:

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