2021 070-768 Premium Files Test pdf - Free Dumps Collection
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NEW QUESTION 20
Hotspot Question
You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.
Answer:
Explanation:
Explanation:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
Topic 2, 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.
Order Analysis
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.
NEW QUESTION 21
DRAG DROP
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to reconfigure the SSAS instance that hosts DB1.
Which three actions should 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.
Answer:
Explanation:
Explanation:
Step 1: Set the default mode for the data model to DirectQuery.
You discover that the project has been deployed with the Direct Query Mode option set to
OFF.
Step 2: Set the mode for the FactInternetSales table's partition to DirectQueryOnly.
Initially, even DirectQuery models are always created in memory. The default query mode for the workspace database is also set toDirectQuery with In-Memory. This hybrid working mode lets you use the cache of imported data for improved performance during the model design process, while validating the model against DirectQuery requirements.
From Scenario: Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
Step 3: Run Process Full for the FactInternetSales partition.
When Process Full is executed against an object that has already been processed,
Analysis Services drops all data in the object, and then processes the object. This kind of processing is required when a structural change has been made to an object, for example, when an attribute hierarchy is added, deleted, or renamed
NEW QUESTION 22
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. No
- B. Yes
Answer: A
NEW QUESTION 23
DRAG DROP
You are a business analyst for a company that uses a Microsoft SQL Server Analysis Services (SSAS) tabular database for reporting. The database model contains the following tables:
You have been asked to write a query for a report that returns the total sales for each product subcategory, as well as for each product category.
You need to write the query to return the data for the report.
How should you complete the DAX statement? To answer, drag the appropriate DAX segment to the correct locations. Each DAX segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box 1:EVALUATE
Box 2:SUMMERIZE
Box 3:ROLLUP
Box 4:'Product Subcategory' ['Product Subcategory Name]
Note: The behavior of SUMMARIZE is similar to the GROUP BY syntax of a SELECT statement in SQL. For example, consider the following query.
EVALUATE
SUMMARIZE(
'Internet Sales',
'Internet Sales'[Order Date],
"Sales Amount", SUM( 'Internet Sales'[Sales Amount] )
)
This query calculates the total of Sales Amount for each date in which there is at least one order, producing this result.
References:
NEW QUESTION 24
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. No
- B. Yes
Answer: A
NEW QUESTION 25
A database named DB2 uses the InMemory query mode. Users frequently run the following query:
You need to ensure no users see the PriorYearSales measure in the field list for the Sales table.
What should you do?
- A. Create a role using Read permissions, and define a DAX expression to filter out the
PriorYearSales measure. Add all users to the role. - B. Create a perspective, and ensure that the PriorYearSales measure is not added to the perspective. Ensure that users connect to the model by using the perspective.
- C. Set the Display Folder property for PriorYearSales toHidden.
- D. Remove the PriorYearSales measure from the default field set of the Sales table.
Answer: B
Explanation:
Using perspectives in the data model might help you expose a subset of tables, columns, and measures that are useful for a particular type of analysis.
Usually, every user needs only a subset of data you create, and showing him or her the model through perspectives can offer a better user experience.
From scenario; The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users.
References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model,
Microsoft Press (July 2012), page 305
Topic 4, Mix Questions
NEW QUESTION 26
DRAG DROP
You are writing a MDX query to retrieve data from a Microsoft SQL Server Analysis
Services (SSAS) cube named Channel Sales. The cube defines two measures named
Sales and Cost. The cube also defines a Date dimension and a Product dimension.
You need to retrieve profit values for a year named CY2016.
How should you complete the MDX statement? To answer, drag the appropriate MDX segment to the correct locations. Each MDX segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box 1:WITH MEMBER...
Box 2:WHERE ([Date].[Year].[CY2016])
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models/mdx/working-with-members-tuples-and-sets-mdx
NEW QUESTION 27
DRAG DROP
You are a business analyst for a company that uses a Microsoft SQL Server Analysis
Services (SSAS) tabular database for reporting. The database model contains the following tables:
You have been asked to write a query for a report that returns the total sales for each product subcategory, as well as for each product category.
You need to write the query to return the data for the report.
How should you complete the DAX statement? To answer, drag the appropriate DAX segment to the correct locations. Each DAX segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box 1:EVALUATE
Box 2:SUMMERIZE
Box 3:ROLLUP
Box 4:'Product Subcategory' ['Product Subcategory Name]
Note: The behavior of SUMMARIZE is similar to the GROUP BY syntax of a SELECT statement in SQL. For example, consider the following query.
EVALUATE
SUMMARIZE(
'Internet Sales',
'Internet Sales'[Order Date],
"Sales Amount", SUM( 'Internet Sales'[Sales Amount] )
)
This query calculates the total of Sales Amount for each date in which there is at least one order,
producing this result.
References:
NEW QUESTION 28
How can you enhance the model to support analysis by date?
- A. Create a calculated table using the CALENDARAUTO function and add calculated columns to the calculated table to derive year, quarter, and month from the InvoiceDate columns.
- B. Create a calculated column in the Internet Sales and Direct Sales tables using the CALENDAR function on the InvoiceDate column.
- C. Create calculated columns in the Internet Sales and Direct Sales tables to derive year, quarter, and month from the InvoiceDate columns.
- D. Create a date table in a new SQL Server database, and import it into the model by using the Table Import Wizard.
Answer: D
NEW QUESTION 29
HOTSPOT
A company has a multidimensional cube that is used for analyzing sales data. You add a new measure named Transaction - Total Including Tax and include the Supplier, Payment
Method, and Transaction Type dimensions in the data model. The Transaction - Total
Including Tax measure uses the existing Customer and Date dimensions.
When users have queried the new measure in the past, they saw results as shown in the existing query output exhibit. (Click the Exhibit button.)
The overall total is incorrectly displayed on every row. In addition, the results are no longer formatted correctly.
The query result should appear as shown in the desired query output exhibit. (Click the
Exhibit button.)
You need to ensure the table is displayed correctly.
What should you do? Use drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Enter a custom MeasureExpression property on the measure
Calculated measures use MDX expressions to supply their values, instead of binding to columns in a data source. The Expression property contains the MDX expression used to supply the values for a Measure only if the Measure is a calculated measure. Otherwise, this property contains an empty string ("").
NEW QUESTION 30
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
You need to create a new dimension that allows users to list shipments by the country where the product is shipped.
Which relationship type should you use between the Shipment table and the new dimension?
- A. fact
- B. regular
- C. referenced
- D. no relationship
- E. data mining
- F. many-to-many
Answer: F
Explanation:
Many to Many Dimension Relationships.
In most dimensions, each fact joins to one and only one dimension member, and a single dimension member can be associated with multiple facts. In relational database terminology, this is referred to as a one-to-many relationship. However, it is frequently useful to join a single fact to multiple dimension members. For example, a bank customer might have multiple accounts (checking, saving, credit card, and investment accounts), and an account can also have joint or multiple owners. The Customer dimension constructed from such relationships would then have multiple members that relate to a single account transaction.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models-olap-logical-cube-objects/dimension-relationships
NEW QUESTION 31
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. No
- B. Yes
Answer: A
NEW QUESTION 32
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 DirectQuery with InMemory.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
Explanation/Reference:
Explanation:
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client.
References:https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
NEW QUESTION 33
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You administer a Microsoft SQL Server Analysis Services (SSAS) tabular model for a retail company.
The model is the basis for reports on inventory levels, popular products, and regional store performance.
The company recently split up into multiple companies based on product lines.
Each company starts with a copy of the database and tabular model that contains data for a specific product line.
You need to optimize performance of queries that use the copied tabular models while minimizing downtime.
What should you do?
- A. Process the model in Process Data mode.
- B. Ensure that the Transactional Deployment property is set to True.
- C. Process the model in Process Full mode.
- D. Ensure that DirectQuery is disabled for the model.
- E. Ensure that the Transactional Deployment property is set to False.
- F. Ensure that DirectQuery is enabled for the model.
- G. Process the model in Process Defrag mode.
Answer: B
Explanation:
The Transactional Deployment setting controls whether the deployment of metadata changes and process commands occurs in a single transaction or in separate transactions. If this option is True (default), Analysis Services deploys all metadata changes and all process commands within a single transaction.
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
NEW QUESTION 34
HOTSPOT
Case Study #2
This is a case study. Case studies are not limited separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
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.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales.
You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
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.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time. Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
Data available during normal business hours must always be up-to-date.
Processing overhead must be minimized.
Query response times must improve.
All queries that access the SalesAnalysis model must use cached data by default.
Data analysts must be able to access data in near real time.
You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.
Hot Area:
Answer:
Explanation:
Explanation/Reference:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options
NEW QUESTION 35
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 DirectQuery with InMemory.
Does the solution meet the goal?
- A. No
- B. Yes
Answer: B
Explanation:
With DirectQuerywithInMemory mode the queries use the relational data source by default, unless otherwise specified in the connection string from the client.
https://msdn.microsoft.com/en-us/library/hh230898(v=sql.120).aspx
NEW QUESTION 36
Case Study #1
This is a case study. Case studies are not limited separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
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?
- A. LowMemoryLimit
- B. VirtualMemoryLimit
- C. TotalMemoryLimit
- D. VertiPaqPagingPolicy
Answer: A
Explanation:
Explanation/Reference:
Explanation:
LowMemoryLimit: For multidimensional instances, a lower threshold at which the server first begins releasing memory allocated to infrequently used objects.
From scenario: 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.
Incorrect Answers:
B: VertiPaqPagingPolicy: For tabular instances, a lower threshold at which the server first begins releasing memory allocated to infrequently used objects.
Scenario: SQL Server Analysis Services (multidimensional) is used.
C: TotalMemoryLimit: An upper threshold at which Analysis Services begins releasing memory more aggressively to make room for requests that are in execution as well as new high priority requests.
Scenario: The database engine instance has been configured for a hard cap of 50 GB, and it cannot be lowered.
References: https://docs.microsoft.com/en-us/sql/analysis-services/server-properties/memory-properties
NEW QUESTION 37
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. No
- B. Yes
Answer: A
NEW QUESTION 38
How do you support the profit percentage in your solution design?
- A. Add a fact table column and set the FormatString for the new measure to Percent.
- B. Create a calculated measure to divide profit by revenue.
- C. Add a new measure group to the cube to isolate the measure.
- D. Define the MeasureExpression property on a new measure to divide profit by revenue.
Answer: B
NEW QUESTION 39
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. No
- B. Yes
Answer: B
NEW QUESTION 40
Drag and Drop Question
You need to create the cube processing job and the dimension processing job.
Which processing task should you use for each job? To answer, drag the appropriate processing tasks to the correct locations. Each processing task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Explanation:
Box 1: ProcessData
Processes data only without building aggregations or indexes. If there is data is in the partitions, it will be dropped before re-populating the partition with source data.
Box 2: Process Update
Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.
https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing- options-and-settings-analysis-services
Topic 3, 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.
Databases
You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools. Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.
NEW QUESTION 41
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You are developing Microsoft SQL Server Analysis Services (SSAS) tabular model.
The model must meet the following requirements:
You need to configure model.
What should you do?
- A. Ensure that the Transactional Deployment property is set to True.
- B. Process the model in Process Data mode.
- C. Process the model in Process Full mode.
- D. Ensure that DirectQuery is disabled for the model.
- E. Ensure that the Transactional Deployment property is set to False.
- F. Ensure that DirectQuery is enabled for the model.
- G. Process the model in Process Defrag mode.
Answer: F
Explanation:
DAX originally emerged from a Power Pivot add-in for Excel, as a formula language extension for creating calculated columns and measures for data analysis (which are also integral elements of one SSAS Tabular model database, too), but when Microsoft added support for DAX queries in SQL Server 2012, BI experts started "daxing" data from Tabular model databases.
That trend continues, because of simplicity and fast query execution (related to DirectQuery mode in SSAS Tabular).
References:https://www.sqlshack.com/query-ssas-tabular-model-database-using-dax- functions/
NEW QUESTION 42
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply only to that question.
You have a Microsoft SQL Server Analysis Services (SSAS) instance that is configured to use multidimensional mode. You create the following cube:
Users need to be able to analyze sales by color.
You need to create a dimension that contains all of the colors for products sold by the company.
Which relationship type should you use between the InternetSales table and the new dimension?
- A. fact
- B. regular
- C. referenced
- D. many-to-many
- E. no relationship
- F. data mining
Answer: B
Explanation:
Explanation/Reference:
Explanation:
A regular dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined directly to the fact table.
References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical- cube-objects/dimension-relationships
NEW QUESTION 43
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