70-768 無料問題集「Microsoft Developing SQL Data Models」

You are troubleshooting query performance for a SQL Server Analysis Services (SSAS) cube.
A user reports that a Multidimensional Expressions (MDX) query is very slow.
You need to identify the MDX query statement in a trace by using SQL Server Profiler.
Which event class should you use?

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: Install solid-state disk drives to store the tabular data model.
Does the solution meet the goal?

解説: (JPNTest メンバーにのみ表示されます)
Drag and Drop Question
You need to configure the CoffeeSale fact table environment.
Which four 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. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
正解:

Explanation:
Step 1: Partition the CoffeSale facto table.
Step 2: Set the storage mode for all partitions to HOLAP. Partitions stored as HOLAP are smaller than the equivalent MOLAP partitions because they do not contain source data and respond faster than ROLAP partitions for queries involving summary data.
Step 3: Alter the processing job to ensure that it rearranges the partition structure each evening.
Step 4: Test that the cube meets the functional requirement for data currency and query performance.
From scenario:
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
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.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/partitions-partition-storage-modes-and-processing
You are developing a tabular Business Intelligence Semantic Model (BISM) database based on a SQL Server database.
In the data source, the FactInternetSales table is partitioned by month. Data from the current month has been updated and new data has been inserted in the FactInternetSales table, in the DimProduct table, and in the DimCustomer table.
In the model, the FactInternetSales table is also partitioned by month. You need to ensure that the model has the most recent data while minimizing the processing time.
What should you do?

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?

You manage an instance of SQL Server Analysis Services (SSAS). Over the last several months, the usage on the server increased by 50% as users begin to create and run more analyses.
Queries are taking longer to run, and processor usage is consistently above 80%.
You predict that query usage will continue to increase at 5% per month. You need to scale SSAS to accommodate the present and future processing load.
Which three actions could you take?
Each correct answer presents a complete solution.

正解:B、C、D 解答を投票する
You are developing a SQL Server Analysis Services (SSAS) tabular project that will be used by the finance, sales, and marketing teams.
The sales team reports that the model is too complex and difficult to use. The sales team does not need any information other than sales-related resources in the tabular model. The finance and marketing teams need to see all the resources in the tabular model.
You need to implement a solution that meets the needs of the sales team while minimizing development and administrative effort.
What should you do?

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