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NEW QUESTION 1
You are managing a SQL Server Analysis Services (SSAS) tabular database.
The database must meet the following requirements:
✑ The processing must load data into partitions or tables.
✑ The processing must not rebuild hierarchies or relationships.
✑ The processing must not recalculate calculated columns.
You need to implement a processing strategy for the database to meet the requirements. Which processing mode should you use?

  • A. Process Clear
  • B. Process Data
  • C. Process Add
  • D. Process Full
  • E. Process Default

Answer: C

NEW QUESTION 2
HOTSPOT
You are deploying a multidimensional Microsoft SQL Server Analysis Services (SSAS) project. You add two new role-playing dimensions named Picker and Salesperson to the cube. Both of the cube dimensions are based upon the underlying dimension named Employee in the data source view.
Users report that they are unable to differentiate the Salesperson attributes from the Picker attributes.
You need to ensure that the Salesperson and Picker attributes in each dimension use unique names.
In the table below, identify an option that you would use as part of the process to alter the names of the attributes for each of the dimensions.
NOTE: Make only one selection in each column.
70-768 dumps exhibit

    Answer:

    Explanation: A named query is a SQL expression represented as a table. In a named query, you can specify an SQL expression to select rows and columns returned from one or more tables in one or more data sources. A named query is like any other table in a data source view (DSV) with rows and relationships, except that the named query is based on an expression.
    A named query lets you extend the relational schema of existing tables in DSV without modifying the underlying data source.
    References: https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/define-named-queries-in-a-data-source-view-analysis-services

    NEW QUESTION 3
    You are developing a SQL Server Analysis Services (SSAS) tabular project.
    In the data warehouse, a table named Sales Persons and Territories defines a relationship between a salesperson's name, logon ID, and assigned sales territory.
    You need to ensure that each salesperson has access to data from only the sales territory assigned to that salesperson. You need to use the least amount of development effort to achieve this goal.
    What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

    • A. Create a new role named Sales Persons with Read permissio
    • B. Add each salesperson's logon as a member to the role.
    • C. Add the Sales Persons and Territories table to the model, define the relationships, and then implement dynamic security by using row filter
    • D. Grant each salesperson access to the model.
    • E. Create a new Active Directory Domain Services (AD DS) security group and add each salesperson as a membe
    • F. Then create a new role named Sales Persons with Read permissio
    • G. Add the group as a member to the new role.
    • H. Create a separate tabular model for each sales territory and assign each tabular model a corresponding sales territory nam
    • I. Grant each salesperson access to the corresponding tabular model of the assigned sales territory.

    Answer: B

    NEW QUESTION 4
    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:
    70-768 dumps exhibit
    You must create a KPI named Large Sales Target that uses the Traffic Light indicator to display status. The KPI must contain:
    70-768 dumps exhibit
    You need to create the KPI.
    Solution: You set the value of the Status expression to:
    70-768 dumps exhibit
    Does the solution meet the goal?

    • A. Yes
    • B. No

    Answer: B

    NEW QUESTION 5
    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 enabled for the model.
    • B. Ensure that DirectQuery is disabled for the model.
    • C. Ensure that the Transactional Deployment property is set to True.
    • D. Ensure that the Transactional Deployment property is set to False.
    • E. Process the model in Process Full mode.
    • F. Process the model in Process Data mode.
    • G. Process the model in Process Defrag mode.

    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 6
    HOTSPOT
    A database named DB2 uses the InMemory query mode. Users frequently run the following
    query:
    70-768 dumps exhibit
    You need to configure SQL Server Profiler to determine why the query is performing poorly. Which three event should you monitor on the SQL Server Profiler trace events
    configuration page? To answer, select the appropriate options in the answer area.
    70-768 dumps exhibit

      Answer:

      Explanation: By using SQL Profiler, you can intercept two classes of trace events from Analysis Services, DAX Query Plan and DirectQuery events, both generated by the DirectQuery engine. Here, in this scenario we have a DAX Query.
      DAX Query Plan events are generated by the DAX formula.
      By using the In-Memory mode, you store a copy of data in the xVelocity (VertiPaq) storage engine.
      Figure: This is how a query is executed by using In-Memory mode.
      70-768 dumps exhibit
      References: Microsoft SQL Server 2012 Analysis Services, The BISM Tabular Model, Microsoft Press (July 2012), page 331
      From Scenario: Users report that the query takes a long time to complete.

      NEW QUESTION 7
      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:
      70-768 dumps exhibit
      Users need to be able to analyze sales by product and color. You need to create the dimension.
      Which relationship type should you use between the InternetSales table and the new dimension?

      • A. no relationship
      • B. regular
      • C. fact
      • D. referenced
      • E. many-to-many
      • F. data mining

      Answer: D

      Explanation: A reference dimension relationship between a cube dimension and a measure group exists when the key column for the dimension is joined indirectly to the fact table through a key in another dimension table, as shown in the following illustration.
      70-768 dumps exhibit
      A reference dimension relationship represents the relationship between dimension tables and a fact table in a snowflake schema design. When dimension tables are connected in a snowflake schema, you can define a single dimension using columns from multiple tables, or you can define separate dimensions based on the separate dimension tables and then define a link between them using the reference dimension relationship setting. The following figure shows one fact table named InternetSales, and two dimension tables called Customer and Geography, in a snowflake schema.
      70-768 dumps exhibit
      You can create two dimensions related to the InternetSales measure group: a dimension based on the Customer table, and a dimension based on the Geography table. You can then relate the Geography dimension to the InternetSales measure group using a reference dimension relationship using the Customer dimension.

      NEW QUESTION 8
      HOTSPOT
      You are developing a SQL Server Analysis Services (SSAS) cube.
      Revenue must be compared to a goal and described by a status and a trend. Revenue, goal, status, and trend will be defined by Multidimensional Expressions (MDX) expressions.
      You need to add the Revenue indicator.
      Which tab should you select? (To answer, select the appropriate tab in the work area.)
      70-768 dumps exhibit

        Answer:

        Explanation: 70-768 dumps exhibit

        NEW QUESTION 9
        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: +
        References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular-models/directquery-mode-ssas-tabular

        NEW QUESTION 10
        HOTSPOT
        You have a Microsoft SQL Server Analysis Services (SSAS) multidimensional project. You are developing a dimension that uses data from the following table:
        70-768 dumps exhibit
        The ManagerKey column defines a foreign key constraint that references the EmployeeKey column. The table stores employee history information by using slowly changing dimensions (SCD). Changes to EmployeeName, Phone, or ManagerKey are managed as SCD Type 1 changes. Changes to SalesRegion are managed as SCD Type 2 changes.
        You create the following attributes, and set the KeyColumns and NameColumn properties to the columns listed in the table below:
        70-768 dumps exhibit
        You need to add a parent-child hierarchy to the dimension to enable navigating the organization hierarchy.
        In the table below, identify the attribute that you must use for each attribute usage type. NOTE: Make only one selection in each column.
        70-768 dumps exhibit

          Answer:

          Explanation: The ManagerKey column, the Manager attribute, defines a foreign key constraint that references the EmployeeKey column, the Employee attribute.

          NEW QUESTION 11
          DRAG DROP
          You are a business analyst for a retail company that uses a Microsoft SQL Server Analysis Services (SSAS) multidimensional database to track sales. The database contains the following objects:
          70-768 dumps exhibit
          Your company is developing a promotional plaque to recognize the top resellers in the top 10 cities where the company does business. Each plaque must display the sales total for all resellers in the city. In addition, the plaque must display a total for all cities not in the top 10.
          You have the following requirements:
          You need to provide the information needed for the promotional plaques.
          How should you complete the MDX statement? To answer, drag the appropriate MDX segments 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.
          NOTE: Each correct selection is worth one point.
          70-768 dumps exhibit

            Answer:

            Explanation: Box 1:DYNAMIC SET Box 2:MEMBER
            Box 3:DYNAMIC SET
            Box 4:[Geography].[City].[City].members Box 5:[Measures].[Reseller Sales Amount]
            References: https://docs.microsoft.com/en-us/sql/mdx/aggregate-mdx

            NEW QUESTION 12
            DRAG DROP
            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.
            70-768 dumps exhibit

              Answer:

              Explanation: 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.

              Topic 3, Case Study #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 13
              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:
              70-768 dumps exhibit
              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. no relationship
              • B. regular
              • C. fact
              • D. referenced
              • E. many-to-many
              • F. data mining

              Answer: E

              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.
              70-768 dumps exhibit
              References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models-olap-logical-cube-objects/dimension-relationships

              NEW QUESTION 14
              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: Change the storage mode for the data model to DirectQuery. Does the solution meet the goal?

              • A. Yes
              • B. No

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

              NEW QUESTION 15
              DRAG DROP
              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.
              70-768 dumps exhibit

                Answer:

                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.
                References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/processing-options-and-settings-analysis-services

                Topic 2, Case Study #2
                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.

                NEW QUESTION 16
                DRAG DROP
                You need to resolve the issues that the users report.
                Which processing options should you use? To answer, drag the appropriate processing option to the correct location or locations. Each processing option 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.
                70-768 dumps exhibit

                  Answer:

                  Explanation: Box1: Process Full:
                  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.
                  Box 2: 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.
                  Box 3:
                  Not Process Update: Forces a re-read of data and an update of dimension attributes. Flexible aggregations and indexes on related partitions will be dropped.

                  NEW QUESTION 17
                  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:
                  70-768 dumps exhibit
                  Does the solution meet the goal?

                  • A. Yes
                  • B. No

                  Answer: B

                  NEW QUESTION 18
                  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.
                  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 one tabular instance of SSAS and enable the Data Mining Extensions.
                  • B. Install one multidimensional instance of SSAS.
                  • C. Install one tabular instance of SSAS.
                  • D. Install a multidimensional instance and a Power Pivot instance of SSAS on the same server.
                  • E. Install two separate tabular instances of SSAS.

                  Answer: BC

                  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

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