Case Study #1
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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.
SalesAnalysis
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.
OrderAnalysis
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 need to configure the server to optimize the afternoon report generation based on the OrderAnalysis cube.
Which property should you configure? memory allocated to infrequently used objects. complete when they are generated in the afternoon each day. You examine the server and observe that it is under significant memory pressure. memory allocated to infrequently used objects.Scenario: SQL Server Analysis Services (multidimensional) is used. aggressively to make room for requests that are in execution as well as new high priority requests. lowered.
A.
LowMemoryLimit
B.
VertiPaqPagingPolicy
C.
TotalMemoryLimit
D.
VirtualMemoryLimit
Explanation:
LowMemoryLimit: For multidimensional instances, a lower threshold at which the server first begins releasing
From scenario: Reports that are generated based on data from the OrderAnalysis cube take more time to
Incorrect Answers:
B: VertiPaqPagingPolicy: For tabular instances, a lower threshold at which the server first begins releasing
C: TotalMemoryLimit: An upper threshold at which Analysis Services begins releasing memory more
Scenario: The database engine instance has been configured for a hard cap of 50 GB, and it cannot be
References: https://docs.microsoft.com/en-us/sql/analysis-services/server-properties/memory-properties