Category: 70-768 VCE

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QUESTION 28
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are developing Microsoft SQL Server Analysis Services (SSAS) tabular model. The model must meet the following requirements. You need to configure model. What should you do?

A.    Ensure that DirectQuery is enabled for the model.
B.    Ensure that DirectQuery is disabled for the model.
C.    Ensure that the Transactional Deployment property is set to True.
D.    Ensure that the Transactional Deployment property is set to False.
E.    Process the model in Process Full mode.
F.    Process the model in Process Data mode.
G.    Process the model in Process Defrag mode.

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QUESTION 25
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

Users need to be able to analyze sales by product and color. You need to create the dimension. Which relationship type should you use between the InternetSales table and the new dimension?

A.    no relationship
B.    regular
C.    fact
D.    referenced
E.    many-to-many
F.    data mining

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QUESTION 22
You are optimizing a Microsoft SQL Server Analysis Services (SSAS) multidimensional model over a SQL Server database. You have a table named City which has several dimensions that do not contain a space in their names. One dimension is named SalesTerritory rather than Sales Territory. You need to ensure that Report developers can drag the attribute name to the report rather than having to re-label the attributes by implementing spaces. You must minimize administrative effort and not break any upstream processes. What should you do?

A.    In the SQL Server database, run the system procedure sp_rename to rename the columns in the base tables with the target name.
B.    In SQL Server Management Studio, navigate to the City table, expand the columns, press F2, and rename the columns in the base tables.
C.    In the SQL Server database, implement a SYNONYM.
D.    In the SQL Server database, implement a view over the City table that aliases the columns in the tables.

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QUESTION 19
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:

You need to create a new dimension that allows users to list shipments by the country where the product is shipped. Which relationship type should you use between the Shipment table and the new dimension?

A.    no relationship
B.    regular
C.    fact
D.    referenced
E.    many-to-many
F.    data mining

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QUESTION 16
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:

You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:

You need to create the KPI.
Solution: You set the value of the Status expression to:

Does the solution meet the goal?

A.    Yes
B.    No

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QUESTION 13
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:

You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:

You need to create the KPI.
Solution: You set the value of the Status expression to:

Does the solution meet the goal?

A.    Yes
B.    No

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QUESTION 10
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You have an existing multidimensional cube that provides sales analysis. The users can slice by date, product, location, customer, and employee. The management team plans to evaluate sales employee performance relative to sales targets. You identify the following metrics for employees. You need to implement the KPI based on the Status expression.
Solution: You design the following solution:

Does the solution meet the goal?

A.    Yes
B.    No

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Case Study #3 (QUESTION 7 – QUESTION 9)
Background
You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese. You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS). Users report that the query takes a long time to complete. You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance. The databases require a total of 10 GB of disk space. You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations. A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date. The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date. The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to-date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.

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Case Study #2 (QUESTION 4 – QUESTION 6)
Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times. The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old. Data analyst report performance issues when they access the SalesAnalysis model. When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer’s sales value. When analyzing sales by product, the correct totals for each product are shown.