DP-500 practice test

1. Question 1 · 1

   This is a case study. Case studies are not timed 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 questions in 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 section 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 in 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. Overview - Contoso, Ltd. is a company that sells enriched financial data to a variety of external customers. Contoso has a main office in Los Angeles and two branch offices in New York and Seattle. Existing Environment - Data Infrastructure - Contoso has a 50-TB data warehouse that uses an instance of SQL Server on Azure Virtual Machines. The data warehouse populates an Azure Synapse Analytics workspace that is accessed by the external customers. Currently, the customers can access all the data. Contoso has one Power BI workspace named FinData that contains a single dataset. The dataset contains financial data from around the world. The workspace is used by 10 internal users and one external customer. The dataset has the following two data sources: the data warehouse and the Synapse Analytics serverless SQL pool. Users frequently query the Synapse Analytics workspace by using Transact-SQL. User Problems - Contoso identifies the following user issues: Some users indicate that the visuals in Power BI reports are slow to render when making filter selections. Users indicate that queries against the serverless SQL pool fail occasionally because the size of tempdb has been exceeded. Users indicate that the data in Power BI reports is stale. You discover that the refresh process of the Power BI model occasionally times out. Planned Changes - Contoso plans to implement the following changes: Into the existing Power BI dataset, integrate an external data source in JSON that is accessible by using the REST API. Build a new dataset in the FinData workspace by using data from the Synapse Analytics dedicated SQL pool. Provide all the customers with their own Power BI workspace to create their own reports. Each workspace will use the new dataset in the FinData workspace. Implement subscription levels for the customers. Each subscription level will provide access to specific rows of financial data. Deploy prebuilt datasets to Power BI to simplify the query experience of the customers. Provide internal users with the ability to incorporate machine learning models loaded to the dedicated SQL pool. You need to identify the root cause of the data refresh issue. What should you use?

   Choose one answer.

   • the Usage Metrics Report in powerbi.com
   • Query Diagnostics in Power Query Editor
   • Performance analyzer in Power BI Desktop

2. Question 2 · 1

   You plan to modify a Power BI dataset. You open the Impact analysis panel for the dataset and select Notify contacts. Which contacts will be notified when you use the Notify contacts feature?

   Choose one answer.

   • the Power BI admins
   • the workspace admins of any workspace that uses the dataset
   • all the workspace members of any workspace that uses the dataset
   • any users that accessed a report that uses the dataset within the last 30 days

3. Question 3 · 1

   You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics. You need to present the data distribution statistics from a DataFrame in a tabular view. Which method should you invoke on the DataFrame?

   Choose one answer.

   • rollup
   • cov
   • explain
   • describe

4. Question 4 · 1

   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 question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You are using an Azure Synapse Analytics serverless SQL pool to query a collection of Apache Parquet files by using automatic schema inference. The files contain more than 40 million rows of UTF-8-encoded business names, survey names, and participant counts. The database is configured to use the default collation. The queries use OPENROWSET and infer the schema shown in the following table. You need to recommend changes to the queries to reduce I/O reads and tempdb usage. Solution: You recommend using OPENROWSET WITH to explicitly define the collation for businessName and surveyName as Latin1_General_100_BIN2_UTF8. Does this meet the goal?

   Choose one answer.

   

   • Yes
   • No

5. Question 5 · 1

   You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics. You need to present the data distribution statistics from a Data Frame in a tabular view. Which method should you invoke on the Data Frame?

   Choose one answer.

   • sample
   • describe
   • freqItems
   • explain

6. Question 6 · 1

   You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use import storage mode. A database administrator reports a drastic increase in the number of queries sent from the Power Bi service to an Azure SQL database since the creation of the deployment pipeline. An investigation into the issue identifies the following: One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows. When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset. You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production. What should you recommend?

   Choose one answer.

   • Request the authors of the deployment pipeline datasets to reduce the number of datasets republished during development.
   • In the dataset, delete the fact table.
   • Configure the dataset to use a composite model that has a DirectQuery connection to the fact table.
   • From Capacity settings in the Power Bi Admin portal, reduce the Max Intermediate Row Set Count setting.

7. Question 7 · 1

   HOTSPOT - You are building a Power BI dataset that contains a table named Calendar. Calendar contains the following calculated column. You need to create a measure that will perform a fiscal prior year-to-date calculation that meets the following requirements: Returns the fiscal prior year-to-date value for [Sales Amount] Uses a fiscal year end of June 30 Produces no result for dates in the future How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

   Choose an option for each prompt.

   

   

   CALCULATE ( [Sales Amount],

   • • CALCULATETABLE
   • • CROSSJOIN
   • • SUMMARIZECOLUMNS
   • • UNION

   DATESYTD ( 'Calendar'[Date], '6/30/2022' ),

   • • DATEADD
   • • FIRSTDATE
   • • PARALLELPERIOD
   • • SAMEPERIODLASTYEAR

   'Calendar'[pfFlag] =

   • • Future
   • • NOW()
   • • Past
   • • TODAY()

8. Question 8 · 1

   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 have a Power Bi dataset named Dataset1. In Dataset1, you currently have 50 measures that use the same time intelligence logic. You need to reduce the number of measures, while maintaining the current functionality. Solution: From Power BI Desktop, you create a hierarchy. Does this meet the goal?

   Choose one answer.

   • Yes
   • No

9. Question 9 · 1

   You are using a Python notebook in an Apache Spark pool in Azure Synapse Analytics. You need to present the data distribution statistics from a DataFrame in a tabular view. Which method should you invoke on the DataFrame?

   Choose one answer.

   • freqItems
   • corr
   • summary
   • rollup

10. Question 10 · 1

    You are using DAX Studio to analyze a slow-running report query. You need to identify inefficient join operations in the query. What should you review?

    Choose one answer.

    • the query statistics
    • the query plan
    • the query history

11. Question 11 · 1

    You have a Power Bi dataset that contains the following measure. You need to improve the performance of the measure without affecting the logic or the results. What should you do?

    Choose one answer.

    

    • Create a variable and replace the values for [Sales Amount].
    • Replace both CALCULATE functions by using a variable that contains the CALCULATE function.
    • Remove the alternative result of BLANK() from the DIVIDE function.
    • Remove 'Calendar'[Flag] = "YTD" from the code.

12. Question 12 · 1

    You are optimizing a dataflow in a Power BI Premium capacity. The dataflow performs multiple joins. You need to reduce the load time of the dataflow. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

    Choose all answers that apply.

    • Execute foldable operations before non-foldable operations.
    • Place the ingestion operations and transformation operations in a single dataflow.
    • Execute non-foldable operations before foldable operations.
    • Place the ingestion operations and transformation operations in separate dataflows.
    • Reduce the memory assigned to the dataflows.

13. Question 13 · 1

    You need to save Power BI dataflows in an Azure Storage account. Which two prerequisites are required to support the configuration? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

    Choose all answers that apply.

    • The connection must be created by a user that is assigned the Storage Blob Data Owner role.
    • Dataflows must exist already for any directly connected Power BI workspaces.
    • The storage account must be protected by using an Azure Firewall.
    • The storage account must be created in a separate Azure region from the Power BI tenant and workspaces.
    • The storage account must have hierarchical namespace enabled.

14. Question 14 · 1

    HOTSPOT - You have the Power BI workspaces shown in the following exhibit. Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic. NOTE: Each correct selection is worth one point.

    Choose an option for each prompt.

    

    

    The [answer choice] workspace will allow users outside the organization to view private reports without a Power BI license.

    • • Infrastructure Svcs
    • • PBI Capacity Metrics
    • • Sales Orders
    • • Web Analytics

    A user must be assigned the [answer choice] role to change the state of the PBI Capacity Metrics workspace to Active.

    • • Admin
    • • Contributor
    • • Member
    • • Viewer

15. Question 15 · 1

    You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use Import storage mode. A database administrator reports a drastic increase in the number of queries sent from the Power BI service to an Azure SQL database since the creation of the deployment pipeline. An investigation into the issue identifies the following: One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows. When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset. You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production. What should you recommend?

    Choose one answer.

    • Enable the large dataset storage format for workspace.
    • Create a dataset parameter to reduce the fact table row count in the development and test pipelines.
    • Request the authors of the deployment pipeline datasets to reduce the number of datasets republished during development.
    • Turn off auto refresh when publishing the dataset changes to the Power BI service.

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