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QUESTION NO: 1
You need to develop a BISM that meets the business requirements for ad-hoc and daily operational analysis.
You must minimize development effort.
Which development approach and mode should you use?
A. Develop a multidimensional project and configure the model with the DirectQuery mode setting off.
B. Develop a tabular project and configure the model with the DirectQuery mode setting on and the project query mode set to DirectQuery.
C. Develop a multidimensional project and configure the cube to use hybrid OLAP (HOLAP) storage mode.
D. Develop a tabular project and configure the model with the DirectQuery mode setting on and the project query mode set to In-Memory with DirectQuery.
Answer: A
Explanation
/ After the upgrade users must be able to perform the following tasks:
/ Ad-hoc analysis of data in the SSAS databases by using the Microsoft Excel PivotTable client (which uses MDX).
/ Daily operational analysis by executing a custom application that uses ADOMD.NET and existing
Multidimensional Expressions (MDX) queries.
/ Deploy a data model to allow the ad-hoc analysis of data. The data model must be cached and source data from an OData feed.
We cannot use DirectQuery mode so C is the only answer that will provide the required caching.
When a model is in DirectQuery mode, it can only be queried by using DAX. You cannot use MDX to create queries. This means that you cannot use the Excel Pivot Client, because Excel uses MDX.
QUESTION NO: 2
You are creating a Multidimensional Expressions (MDX) calculation for Projected Revenue in a cube.
For Customer A, Projected Revenue is defined as 150 percent of the Total Sales for the customer. For all other customers, Projected Revenue is defined as 110 percent of the Total Sales for the customer.
You need to calculate the Projected Revenue as efficiently as possible.
Which calculation should you use? (More than one answer choice may achieve the goal. Select the
BEST answer.)
A. Option B
B. Option A
C. Option D
D. Option C
Answer: D
QUESTION NO: 3
You are designing an extract, transform, load (ETL) process for loading data from a SQL Server database into a large fact table in a data warehouse each day with the prior day's sales data.
The ETL process for the fact table must meet the following requirements:
* Load new data in the shortest possible time.
* Remove data that is more than 36 months old.
* Ensure that data loads correctly.
* Minimize record locking.
* Minimize impact on the transaction log.
You need to design an ETL process that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Partition the destination fact table by customer. Use partition switching both to remove old data and to load new data into each partition.
B. Partition the destination fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.
C. Partition the destination fact table by date. Use partition switching and a staging table to remove old data. Insert new data directly into the fact table.
D. Partition the destination fact table by date. Use partition switching and staging tables both to remove old data and to load new data.
Answer: D
QUESTION NO: 4
You need to configure Library1 to support the planned self-service reports.
What is the best configuration you should add to Library1? More than one answer choice may achieve the goal. Select the BEST answer.
A. The Report Builder Model content type
B. The PowerPivot Gallery Document content type
C. The Report Builder report content type
D. The Report content type
Answer: C
QUESTION NO: 5
You need to ensure that the Sales measure in the Power View field list meets the requirements.
What should you do? (Each correct answer presents a part of the solution. Choose all that apply.)
A. Format the measure to display zero decimal places.
B. Create a measure named Sales based on the column by using the Data Analysis Expressions (DAX)
SUM() function.
C. Format the column to display zero decimal places.
D. Hide the column from client tools.
E. Rename the column to Sales.
Answer: B,C
Explanation
* Data Analysis Expressions (DAX) provides many functions for creating aggregations such as sums, counts, and averages. These functions are very similar to aggregation functions used by Microsoft
Excel.
* SUMX Function
Returns the sum of an expression evaluated for each row in a table.
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Updated: May 28, 2022