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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:
passleader-70-768-dumps-101
Does the solution meet the goal?

A.    Yes
B.    No

Answer: B

QUESTION 11
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?

A.    Yes
B.    No

Answer: B
Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast. However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule. DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery:
– Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model.
– Datasets can be larger than the memory capacity of an Analysis Services server.
– DirectQuery can take advantage of provider-side query acceleration, such as that provided by xVelocity memory optimized column indexes.
– Security can be enforced by the back-end database , using row-level security features from the database (alternatively, you can use row-level security in the model via DAX).
– If the model contains complex formulas that might require multiple queries, Analysis Services can perform optimization to ensure that the query plan for the query executed against the back-end database will be as efficient as possible.
https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular

QUESTION 12
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.
A company has an e-commerce website. When a customer places an order, information about the transaction is inserted into tables in a Microsoft SQL Server relational database named OLTP1. The company has a SQL Server Analysis Services (SSAS) instance that is configured to use Tabular mode. SSAS uses data from OLTP1 to populate a data model. Sales analysts build reports based on the SSAS model. Reports must be able to access data as soon as it is available in the relational database. You need to configure and deploy an Analysis Services project to the Analysis Services instance that allows near real-time data source access.
Solution: In the Deployment Option property for the report, you set the Query Mode to InMemory.
Does the solution meet the goal?

A.    Yes
B.    No

Answer: B
Explanation:
With InMemory the queries can use the cache only.
https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx


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