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NEW QUESTION 1
You are developing a Microsoft SQL Server Integration Services (SSIS) package that loads a data warehouse. You need to inspect the data that is being processed by the package. What should you do first?

  • A. Set a break point on the Control Flow path.
  • B. Enable SQL Trace.
  • C. Enable logging on the Data Flow path.
  • D. Enable a data viewer on the Data Flow path.

Answer: A

NEW QUESTION 2
You are the administrator of a Microsoft SQL Server Master Data Services (MDS) model. The model was developed to provide consistent and validated snapshots of master data to the ETL processes by using
subscription views. A new model version has been created.
You need to ensure that the ETL processes retrieve the latest snapshot of master data. What should you do?

  • A. Add a version flag to the new version, and create new subscription views that use this version flag.
  • B. Create new subscription views for the new version.
  • C. Update the subscription views to use the new version.
  • D. Update the subscription views to use the last committed version.

Answer: A

Explanation: When a version is ready for users or for a subscribing system, you can set a flag to identify the version. You can move this flag from version to version as needed. Flags help users and subscribing systems identify which version of a model to use.
References: https://docs.microsoft.com/en-us/sql/master-data-services/versions-master-data-services

NEW QUESTION 3
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
Contoso. Ltd. has a Microsoft SQL Server environment that includes SQL Server Integration Services (SSIS), a data warehouse, and SQL Server Analysis Services (SSAS) Tabular and multidimensional models.
The data warehouse stores data related to your company sales, financial transactions and financial budgets All data for the data warenouse originates from the company's business financial system.
The data warehouse includes the following tables:
70-767 dumps exhibit
The company plans to use Microsoft Azure to store older records from the data warehouse. You must modify the database to enable the Stretch Database capability.
Users report that they are becoming confused about which city table to use for various queries. You plan to create a new schema named Dimension and change the name of the dbo.du_city table to Diamension.city. Data loss is not permissible, and you must not leave traces of the old table in the data warehouse.
Pal to create a measure that calculates the profit margin based on the existing measures.
You must improve performance for queries against the fact.Transaction table. You must implement appropriate indexes and enable the Stretch Database capability.
End of repeated scenario
You need to resolve the problems reported about the dia city table.
How should you complete the Transact-SQL statement? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL 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.
70-767 dumps exhibit

    Answer:

    Explanation: 70-767 dumps exhibit

    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 that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
    After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
    You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting.
    You need to pause the compute resources when the instance is not being used. Solution: You use SQL Server Management Studio (SSMS).
    Does the solution meet the goal?

    • A. Yes
    • B. No

    Answer: B

    Explanation: To pause a SQL Data Warehouse database, use any of these individual methods. Pause compute with Azure portal
    Pause compute with PowerShell Pause compute with REST APIs
    References:
    https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview

    NEW QUESTION 5
    You are developing a Microsoft SQL Server Integration Services (SSIS) package. You create a data flow that has the following characteristics:
    • The package moves data from the table [source].Tabid to DW.Tablel.
    • All rows from [source].Table1 must be captured in DW.Tablel for error.Tablel.
    • The table error.Tablel must accept rows that fail upon insertion into DW.Tablel due to violation of nullability or data type errors such as an invalid date, or invalid characters in a number.
    • The behavior for the Error Output on the "OLE DB Destination" object is Redirect.
    • The data types for all columns in [sourceJ.Tablel are VARCHAR. Null values are allowed.
    • The Data access mode for both OLE DB destinations is set to Table or view - fast load.
    70-767 dumps exhibit
    70-767 dumps exhibit
    Use the drop-down menus to select the answer choice that answers each question.
    70-767 dumps exhibit

      Answer:

      Explanation: 70-767 dumps exhibit

      NEW QUESTION 6
      Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
      After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
      You configure a new matching policy Master Data Services (MDS) as shown in the following exhibit.
      70-767 dumps exhibit
      You review the Matching Results of the policy and find that the number of new values matches the new values.
      You verify that the data contains multiple records that have similar address values, and you expect some of the records to match.
      You need to increase the likelihood that the records will match when they have similar address values. Solution: You decrease the minimum matching score of the matching policy.
      Does this meet the goal?

      • A. Yes
      • B. NO

      Answer: A

      Explanation: We decrease the Min. matching score.
      A data matching project consists of a computer-assisted process and an interactive process. The matching project applies the matching rules in the matching policy to the data source to be assessed. This process assesses the likelihood that any two rows are matches in a matching score. Only those records with a probability of a match greater than a value set by the data steward in the matching policy will be considered a match.
      References: https://docs.microsoft.com/en-us/sql/data-quality-services/data-matching

      NEW QUESTION 7
      Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
      After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
      You have a data warehouse that stores information about products, sales, and orders for a manufacturing company. The instance contains a database that has two tables named SalesOrderHeader and SalesOrderDetail. SalesOrderHeader has 500,000 rows and SalesOrderDetail has 3,000,000 rows.
      Users report performance degradation when they run the following stored procedure:
      70-767 dumps exhibit
      You need to optimize performance.
      Solution: You run the following Transact-SQL statement:
      70-767 dumps exhibit
      Does the solution meet the goal?

      • A. Yes
      • B. No

      Answer: B

      Explanation: 100 out of 500,000 rows is a too small sample size.
      References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-statistics

      NEW QUESTION 8
      You are designing a data transformation process using Microsoft SQL Server Integration Services (SSIS). You need to ensure that every row is compared with every other row during transformation.
      What should you configure? To answer, select the appropriate options in the answer area.
      NOTE: Each correct selection is worth one point.
      70-767 dumps exhibit

        Answer:

        Explanation: When you configure the Fuzzy Grouping transformation, you can specify the comparison algorithm that the transformation uses to compare rows in the transformation input. If you set the Exhaustive property to true, the transformation compares every row in the input to every other row in the input. This comparison algorithm may produce more accurate results, but it is likely to make the transformation perform more slowly unless the number of rows in the input is small.
        References:
        https://docs.microsoft.com/en-us/sql/integration-services/data-flow/transformations/fuzzy-grouping-transformati

        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 that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
        After you answer a question in this sections, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
        You have a Microsoft Azure SQL Data Warehouse instance that must be available six months a day for reporting.
        You need to pause the compute resources when the instance is not being used. Solution: You use the Azure portal.
        Does the solution meet the goal?

        • A. Yes
        • B. No

        Answer: A

        Explanation: To pause a SQL Data Warehouse database, use any of these individual methods. Pause compute with Azure portal
        Pause compute with PowerShell Pause compute with REST APIs Note: To pause a database:
        1. Open the Azure portal and open your database. Notice that the Status is Online.
        70-767 dumps exhibit
        2. To suspend compute and memory resources, click Pause, and then a confirmation message appears. Click yes to confirm or no to cancel.
        References:
        https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-overview https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-manage-compute-portal#pause-c

        NEW QUESTION 10
        You have a data warehouse.
        You need to move a table named Fact.ErrorLog to a new filegroup named LowCost.
        Which three 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.
        70-767 dumps exhibit

          Answer:

          Explanation: Step 1: Add a filegroup named LowCost to the database. First create a new filegroup.
          Step 2:
          The next stage is to go to the ‘Files’ page in the same Properties window and add a file to the filegroup (a filegroup always contains one or more files)
          Step 3:
          To move a table to a different filegroup involves moving the table’s clustered index to the new filegroup. While this may seem strange at first this is not that surprising when you remember that the leaf level of the clustered index actually contains the table data. Moving the clustered index can be done in a single statement using the DROP_EXISTING clause as follows (using one of the AdventureWorks2008R2 tables as an example) :
          CREATE UNIQUE CLUSTERED INDEX PK_Department_DepartmentID ON HumanResources.Department(DepartmentID)
          WITH (DROP_EXISTING=ON,ONLINE=ON) ON SECONDARY
          This recreates the same index but on the SECONDARY filegroup.
          References:
          http://www.sqlmatters.com/Articles/Moving%20a%20Table%20to%20a%20Different%20Filegroup.aspx

          NEW QUESTION 11
          Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
          After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
          You configure a new matching policy Master Data Services (MDS) as shown in the following exhibit.
          70-767 dumps exhibit
          You review the Matching Results of the policy and find that the number of new values matches the new values.
          You verify that the data contains multiple records that have similar address values, and you expect some of the records to match.
          You need to increase the likelihood that the records will match when they have similar address values. Solution: You increase the relative weights for Address Line 1 of the matching policy.
          Does this meet the goal?

          • A. Yes
          • B. NO

          Answer: B

          Explanation: Decrease the Min. matching score.
          A data matching project consists of a computer-assisted process and an interactive process. The matching project applies the matching rules in the matching policy to the data source to be assessed. This process assesses the likelihood that any two rows are matches in a matching score. Only those records with a probability of a match greater than a value set by the data steward in the matching policy will be considered a match.
          References: https://docs.microsoft.com/en-us/sql/data-quality-services/data-matching

          NEW QUESTION 12
          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 a Microsoft SQL Server Integration Services (SSIS) package. The package design consists of the sources shown in the following diagram:
          70-767 dumps exhibit
          Each source contains data that is not sorted.
          You need to combine data from all of the sources into a single dataset. Which SSIS Toolbox item should you use?

          • A. CDC Control task
          • B. CDC Splitter
          • C. Union All
          • D. XML task
          • E. Fuzzy Grouping
          • F. Merge
          • G. Merge Join

          Answer: C

          NEW QUESTION 13
          You have a database named OnlineSales that contains a table named Customers. You plan to copy incremental changes from the Customers table to a data warehouse every hour.
          You need to enable change tracking for the Customers table.
          How should you complete the Transact-SQL statements? To answer, drag the appropriate Transact-SQL segments to the correct locations. Each Transact-SQL 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.
          70-767 dumps exhibit

            Answer:

            Explanation: Box 1: DATABASE [OnlineSales]
            Before you can use change tracking, you must enable change tracking at the database level. The following example shows how to enable change tracking by using ALTER DATABASE.
            ALTER DATABASE AdventureWorks2012 SET CHANGE_TRACKING = ON
            (CHANGE_RETENTION = 2 DAYS, AUTO_CLEANUP = ON) Box 2: CHANGE_TRACKING = ON
            ALTER SET CHANGE_RETENTION
            Box 3: ALTER TABLE [dbo].[Customers]
            Change tracking must be enabled for each table that you want tracked. When change tracking is enabled, change tracking information is maintained for all rows in the table that are affected by a DML operation.
            The following example shows how to enable change tracking for a table by using ALTER TABLE. ALTER TABLE Person.Contact
            ENABLE CHANGE_TRACKING
            WITH (TRACK_COLUMNS_UPDATED = ON) Box 4: ENABLE CHANGE_TRACKING
            References:
            https://docs.microsoft.com/en-us/sql/relational-databases/track-changes/enable-and-disable-change-tracking-sql-

            NEW QUESTION 14
            You have a series of analytic data models and reports that provide insights into the participation rates for sports at different schools. Users enter information about sports and participants into a client application. The application stores this transactional data in a Microsoft SQL Server database. A SQL Server Integration Services (SSIS) package loads the data into the models.
            When users enter data, they do not consistently apply the correct names for the sports. The following table shows examples of the data entry issues.
            70-767 dumps exhibit
            You need to improve the quality of the data.
            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.
            70-767 dumps exhibit

              Answer:

              Explanation: References: https://docs.microsoft.com/en-us/sql/data-quality-services/perform-knowledge-discovery

              NEW QUESTION 15
              Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
              After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
              You plan to deploy a Microsoft SQL server that will host a data warehouse named DB1. The server will contain four SATA drives configured as a RAID 10 array.
              You need to minimize write contention on the transaction log when data is being loaded to the database. Solution: You configure the server to automatically delete the transaction logs nightly.
              Does this meet the goal?

              • A. Yes
              • B. No

              Answer: B

              Explanation: You should place the log file on a separate drive. References:
              https://www.red-gate.com/simple-talk/sql/database-administration/optimizing-transaction-log-throughput/ https://docs.microsoft.com/en-us/sql/relational-databases/policy-based-management/place-data-and-log-files-on-

              NEW QUESTION 16
              You are designing an indexing strategy for a data warehouse. The data warehouse contains a table named Table1. Data is bulk inserted into Table1.
              You plan to create the indexes configured as shown in the following table.
              70-767 dumps exhibit
              Which type of index should you use to minimize the query times of each index? To answer, drag the appropriate index types to the correct indexes. Each index type 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.
              70-767 dumps exhibit

                Answer:

                Explanation: 70-767 dumps exhibit

                NEW QUESTION 17
                Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
                You have a Microsoft SQL Server data warehouse instance that supports several client applications. The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer,
                Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
                All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
                You have the following requirements:
                70-767 dumps exhibit Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
                70-767 dumps exhibit Partition the Fact.Order table and retain a total of seven years of data.
                70-767 dumps exhibit Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
                70-767 dumps exhibit Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
                70-767 dumps exhibitMaximize the performance during the data loading process for the Fact.Order partition.
                70-767 dumps exhibit Ensure that historical data remains online and available for querying.
                70-767 dumps exhibit Reduce ongoing storage costs while maintaining query performance for current data. You are not permitted to make changes to the client applications.
                You need to implement the data partitioning strategy. How should you partition the Fact.Order table?

                • A. Create 17,520 partitions.
                • B. Use a granularity of two days.
                • C. Create 2,557 partitions.
                • D. Create 730 partitions.

                Answer: C

                Explanation: We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
                From scenario: Partition the Fact.Order table and retain a total of seven years of data. Maximize the performance during the data loading process for the Fact.Order partition.

                NEW QUESTION 18
                Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
                After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
                Each night you receive a comma separated values (CSV) file that contains different types of rows. Each row type has a different structure. Each row in the CSV file is unique. The first column in every row is named Type. This column identifies the data type.
                For each data type, you need to load data from the CSV file to a target table. A separate table must contain the number of rows loaded for each data type.
                Solution: You create a SQL Server Integration Services (SSIS) package as shown in the exhibit. (Click the
                Exhibit tab.)
                70-767 dumps exhibit
                Does the solution meet the goal?

                • A. Yes
                • B. No

                Answer: B

                Explanation: The conditional split must be before the count.

                NEW QUESTION 19
                You create a Master Data Services (MDS) model that manages the master data for a Product dimension. The Product dimension has the following properties:
                All the members of the Product dimension have a product type, a product subtype, and a unique product name.
                Each product has a single product type and a single product subtype. The product type has a one-to-many relationship to the product subtype.
                You need to ensure that the relationship between the product name, the product type, and the product subtype is maintained when products are added to or updates in the database.
                What should you add to the model?

                • A. a subscription view
                • B. a derived hierarchy
                • C. a recursive hierarchy
                • D. an explicit hierarchy

                Answer: B

                Explanation: A Master Data Services derived hierarchy is derived from the domain-based attribute relationships that already exist between entities in a model.
                You can create a derived hierarchy to highlight any of the existing domain-based attribute relationships in the model.

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