Exam Dumps 070-768 Practice Free Latest Microsoft Practice Tests [Q20-Q36]

Exam Dumps 070-768 Practice Free Latest Microsoft Practice Tests

070-768 Exam Questions | Real 070-768 Practice Dumps

Microsoft 70-768 Exam Syllabus Topics:

Topic	Details
Design a multidimensional business intelligence (BI) semantic model (25–30%)
Create a multidimensional database by using Microsoft SQL Server Analysis Services (SSAS)	-Design, develop, and create multidimensional databases; select a storage model
Design and implement dimensions in a cube	-Select an appropriate dimension model, such as fact, parent-child, roleplaying, reference, data mining, many-to-many, and slowly changing dimension; implement a dimension type; define attribute relationships
Implement measures and measure groups in a cube	-Design and implement measures, measure groups, granularity, calculated measures, and aggregate functions; define semi-additive behavior
Design a tabular BI semantic model (20–25%)
Design and publish a tabular data model	-Design measures, relationships, hierarchies, partitions, perspectives, and calculated columns; create a time table; publish from Microsoft Visual Studio; import from Microsoft PowerPivot; select a deployment option, including Processing Option, Transactional Deployment, and Query Mode
Configure, manage, and secure a tabular model	-Configure tabular model storage and data refresh, configure refresh interval settings, configure user security and permissions, configure row-level security
Develop a tabular model to access data in near real time	-Use DirectQuery with Oracle, Teradata, Excel, and PivotTables; convert in-memory queries to DirectQuery
Develop queries using Multidimensional Expressions (MDX) and Data Analysis Expressions (DAX) (15–20%)
Create basic MDX queries	-Implement basic MDX structures and functions, including tuples, sets, and TopCount
Implement custom MDX solutions	-Create custom MDX or logical solutions for pre-prepared case tasks or business rules, define a SCOPE statement
Create formulas by using the DAX language	-Use the EVALUATE and CALCULATE functions, filter DAX queries, create calculated measures, perform data analysis by using DAX
Configure and maintain SQL Server Analysis Services (SSAS) (30–35%)
Plan and deploy SSAS	-Configure memory limits, configure Non-Union Memory Architecture (NUMA), configure disk layout, determine SSAS instance placement
Monitor and optimize performance	-Monitor performance and analyze query plans by using Extended Events and Profiler, identify bottlenecks in SSAS queries, monitor processing and query performance, resolve performance issues, configure usability limits, optimize and manage model design
Configure and manage processing	-Configure partition processing; configure dimension processing; use Process Default, Process Full, Process Clear, Process Data, Process Add, Process Update, Process Index, Process Structure, and Process Clear Structure processing methods; configure Parallel, Sequential, and Writeback processing settings
Create Key Performance Indicators (KPIs) and translations	-Configure KPI options, including Associated measure group, Value Expression, Goal Expression, Status, Status expression, Trend, Trend expression, and Weight; create KPIs in multidimensional models and tabular models; create and develop translations

NEW QUESTION 20
DRAG DROP
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 SalesAnalysis cube to correct the sales analysis by customer calculation.
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.
Select and Place:

Answer:

Explanation:

Explanation/Reference:
Step 1: Open the cube editor, and open the Dimension Usage tab.
Step 2: Configure a relationship between the Customer dimension and the Sales measure group. Use Day as the granularity.
From scenario: 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.
Step 3: Reprocess the cube.
Step 4: Deploy the project changes.

NEW QUESTION 21
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. Process the model in Process Full mode.
B. Ensure that DirectQuery is disabled for the model.
C. Process the model in Process Data mode.
D. Process the model in Process Defrag mode.
E. Ensure that the Transactional Deployment property is set to False.
F. Ensure that DirectQuery is enabled for the model.
G. Ensure that the Transactional Deployment property is set to True.

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).
https://www.sqlshack.com/query-ssas-tabular-model-database-using-dax-functions/

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 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. No
B. Yes

Answer: A

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: +
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular- models/directquery-mode-ssas-tabular

NEW QUESTION 23
Case Study #3
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
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.
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. Set the Display Folder property for PriorYearSales toHidden.
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. Create a role using Read permissions, and define a DAX expression to filter out the PriorYearSales measure. Add all users to the role.
D. Remove the PriorYearSales measure from the default field set of the Sales table.

Answer: B

Explanation:
Explanation/Reference:
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

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 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: B

NEW QUESTION 25
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. Process the model in Process Full mode.
B. Ensure that DirectQuery is disabled for the model.
C. Process the model in Process Data mode.
D. Process the model in Process Defrag mode.
E. Ensure that the Transactional Deployment property is set to False.
F. Ensure that DirectQuery is enabled for the model.
G. Ensure that the Transactional Deployment property is set to True.

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 26
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 27
You are developing and application to track customer sales.
You need to return the sum of orders that have been finalized, given a specified order identifier.
This value will be used in other Transact-SOL statements.
You need to create a database object.
What should you create?

A. scalar-valued function
B. DML trigger
C. CLR procedure
D. extended procedure
E. user-defined procedure
F. table-valued function

Answer: A

NEW QUESTION 28
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 travel agency that specializes in vacation packages. Vacation bookings and packages are stored in a SQL Server database. You use the model as the basis for customer emails that highlight vacation packages that are currently underbooked, or projected to be underbooked.
The company plans to incorporate cruise ship vacation packages. Cruise ship vacation packages include new features such as region availability and cruise line specialties that require changes to the tabular model.
You must ensure that the tabular model reflects the new vacation packages.
You need to configure the tabular data model.
What should you do?

A. Ensure that DirectQuery is disabled for the model.
B. Process the model in Process Data mode.
C. Ensure that DirectQuery is enabled for the model.
D. Process the model in Process Defrag mode.
E. Process the model in Process Full mode.
F. Ensure that the Transactional Deployment property is set to False.
G. Ensure that the Transactional Deployment property is set to True.

Answer: E

Explanation:
Process Full processes an Analysis Services object and all the objects that it contains.
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 29
You are responsible for installing new database server instances.
You must install Microsoft SQL Server Analysis Services (SSAS) to support deployment of the following projects. You develop both projects by using SQL Server Data Tools.
Project1 uses the tabular data model.

Project2 uses SQL Server data mining to predict customer-purchasing intentions by using the Decision

Trees algorithm.
You need to install the appropriate services to support both projects.
Which two actions should you perform? Each correct answer presents part of the solution.

A. Install two separate tabular instances of SSAS.
B. Install one tabular instance of SSAS and enable the Data Mining Extensions.
C. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
D. Install one tabular instance of SSAS.
E. Install one multidimensional instance of SSAS.

Answer: D,E

Explanation:
Explanation/Reference:
Explanation:
Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power Pivot for SharePoint, and Tabular.
References:https://docs.microsoft.com/en-us/sql/analysis-services/comparing-tabular-and- multidimensional-solutions-ssas

NEW QUESTION 30
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:
Ninety percent or greater relative to sales target values is considered on target.

Between 75 percent and 90 percent is considered slightly off target.

Below 75 percent is considered off target.

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: B

Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION 31
Hotspot Question
You are a database administrator in a company that uses Microsoft SharePoint Server for all intranet sites. You are responsible for the installation of new database server instances.
You must install Microsoft SQL Server Analysis Server (SSAS) to support deployment of the following projects. You develop both projects by using SQL Server Data Tools.
You need to install the appropriate services to support both projects.
What should you do? In the table below, select the appropriate services for each project. NOTE:
Make only one selection in each column. Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Project1:
Project2: Multidimensional
Note: Analysis Services can be installed in one of three server modes: Multidimensional and Data Mining (default), Power Pivot for SharePoint, and Tabular.

NEW QUESTION 32
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. Set the Display Folder property for PriorYearSales toHidden.
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. Create a role using Read permissions, and define a DAX expression to filter out the PriorYearSales measure. Add all users to the role.
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 33
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. No
B. Yes

Answer: A

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

NEW QUESTION 34
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 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.
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?