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You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.

Correct Answer:

Explanation:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
Topic 2, Background
Wide World Importers imports and sells clothing. The company has a multidimensional Microsoft SQL Server Analysis Services instance. The server has 80 gigabytes (GB) of available physical memory. The following installed services are running on the server:
* SQL Server Database Engine
* SQL Server Analysis Services (multidimensional)
The database engine instance has been configured for a hard cap of 50 GB, and it cannot be lowered. The instance contains the following cubes: SalesAnalysis, OrderAnalysis.
Reports that are generated based on data from the OrderAnalysis cube take more time to complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure.
Processing for all cubes must occur automatically in increments. You create one job to process the cubes and another job to process the dimensions. You must configure a processing task for each job that optimizes performance. As the cubes grown in size, the overnight processing of the cubes often do not complete during the allowed maintenance time window.
Sales Analysis
The SalesAnalysis cube is currently being tested before being used in production. Users report that day name attribute values are sorted alphabetically. Day name attribute values must be sorted chronologically. Users report that they are unable to query the cube while any cube processing operations are in progress. You need to maximize data availability during cube processing and ensure that you process both dimensions and measures.
Order Analysis
The OrderAnalysis cube is used for reporting and ad-hoc queries from Microsoft Excel. The data warehouse team adds a new table named Fact.Transaction to the cube. The Fact.Transaction table includes a column named Total Including Tax. You must add a new measure named Transactions ?Total Including Tax to the cube. The measure must be calculated as the sum of the Total Including Tax column across any selected relevant dimensions.
Finance
The Finance cube is used to analyze General Ledger entries for the company.
Requirements
- You must minimize the time that it takes to process cubes while
meeting the following requirements:
- The Sales cube requires overnight processing of dimensions, cubes,
measure groups, and partitions.
- The OrderAnalysis cube requires overnight processing of dimensions
only.
- The Finance cube requires overnight processing of dimensions only.

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.=VALUES(Geography[City])
• B.City:= LOOKUPVALUE(Geography[City],Geography[GeographyKey],[GeographyKey]) C .=RELATED(Geography[City])
• C.=RELATED(Geography.City)
• D.City:=VALUES(Geography[City])
• E.City:= LOOKUP(Geography[City],Geography[GeographyKey],[GeographyKey])

Which is the easiest option for configuring and maintaining security for each salesperson?

• A.Create a one role for the salesperson group with a row filter on the Direct Sales table that uses the CONTAINS and USERNAME functions to find the user's sales territory in the Salesperson table.
• B.Create a permissions table, add it to the tabular model, and define a relationship between it and the Direct Sales table.
• C.Create a role for each salesperson with a row filter restricting the user to a specific sales territory in the Direct Sales table.
• D.Create one role for the salesperson group with a row filter on the Direct Sales table that uses the CUSTOMDATA function.

You are developing a SQL Server Analysis Services (SSAS) tabular project for a Power View solution.
You need to grant permission for salespersons to view only the data based on their sales territory.
What should you do?

• A.Create a member and then create a Data Analysis Expressions (DAX) filter.
• B.Use SQL Server Management Studio to create a role. Then create a Multidimensional Expressions (MDX) filter.
• C.Use SQL Server Management Studio to create a role. Then create a Data Analysis Expressions (DAX) filter.
• D.Create a member and then create a Multidimensional Expressions (MDX) filter.

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 deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data. The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by
4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.
You need to improve the performance.
Solution: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?

• A.No
• B.Yes