Free Preparation Discussions
Microsoft DP-500 Exam
- Topic 1: Perform impact analysis of downstream dependencies from dataflows and datasets/ Manage Power BI assets by using Azure Purview
- Topic 2: Create queries, functions, and parameters by using the Power Query Advanced Editor/ Identify and implement performance improvements in queries and report visuals
- Topic 3: Identify requirements for a solution, including features, performance, and licensing strategy/ Recommend and configure an on-premises gateway in Power BI
- Topic 4: Identify data loading performance bottlenecks in Power Query or data sources/ Integrate an existing Power BI workspace into Azure Synapse Analytics
- Topic 5: Explore and visualize data by using the Azure Synapse SQL results pane/ Deploy and manage datasets by using the XMLA endpoint
- Topic 6: Integrate an analytics platform into an existing IT infrastructure/ Create and distribute paginated reports in Power BI Report Builder
- Topic 7: Recommend appropriate file types for querying serverless SQL pools/ Commit code and artifacts to a source control repository in Azure Synapse Analytics
- Topic 8: Design and configure Power BI reports for accessibility/ Implement performance improvements in Power Query and data sources
- Topic 9: Design and implement enterprise-scale row-level security and object-level security/ Analyze data model efficiency by using VertiPaq Analyzer
- Topic 10: Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models/ Connect to and query datasets by using the XMLA endpoint
- Topic 11: Identify an appropriate Azure Synapse pool when analyzing data/ Design and build composite models, including aggregations
- Topic 12: Explore data by using native visuals in Spark notebooks/ Explore data by using Azure Synapse Analytics
Free Microsoft DP-500 Exam Actual Questions
The questions for DP-500 were last updated On Jun. 25, 2022
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 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 open row set 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 Latim_Generai_100_BiN2_UTF8.
Does this meet the goal?
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 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 open row set 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 specify the maximum length for businessName and surveyName.
Does this meet the goal?
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 Bl 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 Tabular Editor, you create a calculation group.
Does this meet the goal?
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 Bl dataset named Datasetl.
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?
You open a Power Bl Desktop report that contains an imported data model and a single report page.
You open Performance analyzer, start recording, and refresh the visuals on the page. The recording produces the results shown in the following exhibit
What can you identify from the results?
- Select Question Types you want
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- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
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