microsoft dp-500 practice test

Question 1

You have a Power BI workspace named Workspace1 in a Premium capacity. Workspace1 contains a dataset.
During a scheduled refresh, you receive the following error message: Unable to save the changes since the new dataset size of 11,354 MB exceeds the limit of 10,240 MB.
You need to ensure that you can refresh the dataset.
What should you do?

• A. Change License mode to Premium per user.
• B. Turn on Large dataset storage format.
• C. Connect Workspace1 to an Azure Data Lake Storage Gen2 account.
• D. Change the location of the Premium capacity.

Question 2

HOTSPOT You are creating a Power BI Desktop report.
You add a Python visual to the report page.
You plan to create a scatter chart to visualize the data.
You add Python code to the Python script editor.
You need to create the scatter chart.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 3

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 recommend a solution for the customer workspace to support the planned changes.
Which two configurations should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. Publish the financial data to the web.
• B. Configure the FinData workspace to use a Power BI Premium capacity.
• C. Grant the Build permission for the financial data to each customer.
• D. Set Use datasets across workspaces to Enabled.

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 question, 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 DAX Studio, you write a query that uses grouping sets.
Does this meet the goal?

• A. Yes
• B. No

Question 5

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?

• A. Yes
• B. No

Question 6

Your company is migrating its current, custom-built reporting solution to Power BI.
The Power BI tenant must support the following scenarios:
40 reports that will be embedded in external websites. The websites control their own security. The reports will be consumed by 50 users monthly.
Forty-five users that require access to the workspaces and apps in the Power BI Admin portal. Ten of the users must publish and consume datasets that are larger than 1 GB.
Ten developers that require Text Analytics transformations and paginated reports for datasets. An additional 15 users will consume the reports.
You need to recommend a licensing solution for the company. The solution must minimize costs.
Which two Power BI license options should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. 70 Premium per user
• B. one Premium
• C. 70 Pro
• D. one Embedded
• E. 35 Pro
• F. 35 Premium per user

Question 7

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?

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

Question 8

HOTSPOT You have an Azure Synapse Analytics serverless SQL pool and an Azure Data Lake Storage Gen2 account.
You need to query all the files in the csv/taxi/ folder and all its subfolders. All the files are in CSV format and have a header row.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Question 9

You are creating a Power BI single-page report.
Some users will navigate the report by using a keyboard, and some users will navigate the report by using a screen reader.
You need to ensure that the users can consume content on a report page in a logical order.
What should you configure on the report page?

• A. the X position
• B. the bookmark order
• C. the layer order
• D. the tab order

Question 10

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
Existing environment Litware, Inc. is a retail company that sells outdoor recreational goods and accessories. The company sells goods both online and its stores located in six countries.

Azure Resources Litware has the following Azure resources:
An Azure Synapse Analytics workspace named synapseworkspace1
An Azure Data Lake Storage Gen2 account named datalake1 that is associated with synapseworkspace1
A Synapse Analytics dedicated SQL pool named SQLDW

Dedicated SQL Pool SQLDW contains a dimensional model that contains the following tables.

SQLDW contains the following additional tables.

SQLDW contains a view named dbo.CustomerPurchases that creates a distinct list of values from dbo.Customer [customerID], dbo.Customer [CustomerEmail], dbo.Product [ProductID] and dbo.Product [ProductName].
The sales data in SQLDW is updated every 30 minutes. Records in dbo.SalesTransactions are updated in SQLDW up to three days after being created. The records do NOT change after three days.

Power BI Litware has a new Power BI tenant that contains an empty workspace named Sales Analytics.
All users have Power BI Premium per user licenses.
IT data analytics are workspace administrators. The IT data analysts will create datasets and reports.
A single imported dataset will be created to support the companys sales analytics goals. The dataset will be refreshed every 30 minutes.

Requirements
Analytics Goals Litware identifies the following analytics goals:
Provide historical reporting of sales by product and channel over time.
Allow sales managers to perform ad hoc sales reporting with minimal effort.
Perform market basket analysis to understand which products are commonly purchased in the same transaction.
Identify which customers should receive promotional emails based on their likelihood of purchasing promoted products.
Litware plans to monitor the adoption of Power BI reports over time. The company wants custom Power BI usage reporting that includes the percent change of users that view reports in the Sales Analytics workspace each month.

Security Requirements Litware identifies the following security requirements for the analytics environment:
All the users in the sales department and the marketing department must be able to see Power BI reports that contain market basket analysis and data about which customers are likely to purchase a product.
Customer contact data in SQLDW and the Power BI dataset must be labeled as Sensitive. Records must be kept of any users that use the sensitive data.
Sales associates must be prevented from seeing the CustomerEmail column in Power BI reports.
Sales managers must be prevented from modifying reports created by other users.
Development Process Requirements
Litware identifies the following development process requirements:
SQLDW and datalake1 will act as the development environment. Once feature development is complete, all entities in synapseworkspace1 will be promoted to a test workspace, and then to a production workspace.
Power BI content must be deployed to test and production by using deployment pipelines.
All SQL scripts must be stored in Azure Repos.
The IT data analysts prefer to build Power BI reports in Synapse Studio.
You need to recommend a solution to ensure that sensitivity labels are applied. The solution must minimize administrative effort.
Which three actions should you include in the recommendation? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

• A. From the Power BI Admin portal, set Allow users to apply sensitivity labels for Power BI content to Enabled.
• B. From the Power BI Admin portal, set Apply sensitivity labels from data sources to their data in Power BI to Enabled.
• C. In SQLDW, apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
• D. In the Power BI datasets, apply sensitivity labels to the columns in the Customer and CustomersWithProductScore tables.
• E. From the Power BI Admin portal, set Make certified content discoverable to Enabled.