Category: MCSA: SQL 2016 BI Development Exam Collection

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QUESTION 16
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 a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:

You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:

You need to create the KPI.
Solution: You set the value of the Status expression to:

Does the solution meet the goal?

A.    Yes
B.    No

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QUESTION 13
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 a Microsoft SQL Server Analysis Services (SSAS) multidimensional database that stores customer and order data for customers in the United States only. The database contains the following objects:

You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:

You need to create the KPI.
Solution: You set the value of the Status expression to:

Does the solution meet the goal?

A.    Yes
B.    No

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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:

Does the solution meet the goal?

A.    Yes
B.    No

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Case Study #3 (QUESTION 7 – QUESTION 9)
Background
You are a developer for a Seattle-based company. The company is expanding globally. Many company employees speak fluent Mandarin and read Simplified Chinese. You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS). Users report that the query takes a long time to complete. You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance. The databases require a total of 10 GB of disk space. You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables. The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations. A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date. The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date. The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to-date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.

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Case Study #2 (QUESTION 4 – QUESTION 6)
Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
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. The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old. Data analyst report performance issues when they access the SalesAnalysis model. When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer’s sales value. When analyzing sales by product, the correct totals for each product are shown.

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Case Study #1 (QUESTION 1 – QUESTION 3)
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.

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QUESTION 181
You are designing a SQL Server Integration Services (SSIS) data flow to load sales transactions from a source system into a data warehouse hosted on Windows Azure SQL Database. One of the columns in the data source is named ProductCode. Some of the data to be loaded will reference products that need special processing logic in the data flow. You need to enable separate processing streams for a subset of rows based on the source product code. Which data flow transformation should you use?

A.    Source Assistant
B.    Destination Assistant
C.    Audit
D.    Script Component

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QUESTION 161
Hotspot Questions
You are developing a SQL Server Integration Services (SSIS) package to implement an incremental data load strategy. The package reads rows from a source system and compares them to rows in a destination system. New rows will be inserted and changed rows will be updated. You have used a Lookup transformation and a Conditional Split transformation. The Lookup transformation joins the source and destination table on the business key, and includes all columns from the destination table in the data flow output. The Conditional Split transformation inspects the destination columns and directs data flow to either insert new records or update existing records. You need to configure the Lookup transformation to ensure that all records flow to the Conditional Split transformation, regardless of whether the rows match an existing row in the destination table. Which setting should you select? (To answer, select the appropriate option in the answer area.)

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QUESTION 141
You develop a SQL Server Integration Services (SSIS) package in a project by using the Project Deployment Model. It is regularly executed within a multi-step SQL Server Agent job. You make changes to the package that should improve performance. You need to establish if there is a trend in the durations of the next 10 successful executions of the package. You need to use the least amount of administrative effort to achieve this goal. What should you do?

A.    After 10 executions, in SQL Server Management Studio, view the Execution Performance subsection of the All Executions report for the package.
B.    Configure the package to send you an email upon completion that includes information about the duration of the package.
After 10 executions, view the emails.
C.    Enable logging to the Application Event Log in the package control flow for the OnInformation event.
After 10 executions, view the Application Event Log.
D.    Enable logging to the Application Event Log in the package control flow for the OnPostExecute event.
After 10 executions, view the Application Event Log.