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Microsoft DP-500 Exam Syllabus

Microsoft DP-500 Exam

Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI

Total Questions: 155
Last Updated : 26-11-2023

What is Included in the Microsoft DP-500 Exam?

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Microsoft DP-500 Exam Overview :

Exam Name Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Exam Code DP-500
Exam Registration Price $165
Official Information https://docs.microsoft.com/en-us/learn/certifications/exams/dp-500
See Expected Questions Microsoft DP-500 Expected Questions in Actual Exam
Take Self-Assessment Use Microsoft DP-500 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Microsoft DP-500 Exam Topics :

Section Weight Objectives
Implement and manage a data analytics environment 25–30% Govern and administer a data analytics environment
  •  manage Power BI assets by using Azure Purview
  •  identify data sources in Azure by using Azure Purview
  •  recommend settings in the Power BI admin portal
  •  recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure
  •  identify requirements for a solution, including features, performance, and licensing strategy
  •  configure and manage Power BI capacity
  •  recommend and configure an on-premises gateway in Power BI
  •  recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  •  integrate an existing Power BI workspace into Azure Synapse Analytics

Manage the analytics development lifecycle
  •  commit code and artifacts to a source control repository in Azure Synapse Analytics
  •  recommend a deployment strategy for Power BI assets
  •  recommend a source control strategy for Power BI assets
  •  implement and manage deployment pipelines in Power BI
  •  perform impact analysis of downstream dependencies from dataflows and datasets
  •  recommend automation solutions for the analytics development lifecycle, including

Power BI REST API and PowerShell cmdlets
  •  deploy and manage datasets by using the XMLA endpoint
  •  create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets
Query and transform data 20–25% Query data by using Azure Synapse Analytics
  •  identify an appropriate Azure Synapse pool when analyzing data
  •  recommend appropriate file types for querying serverless SQL pools
  •  query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources
  •  use a machine learning PREDICT function in a query

Ingest and transform data by using Power BI
  •  identify data loading performance bottlenecks in Power Query or data sources
  •  implement performance improvements in Power Query and data sources
  •  create and manage scalable Power BI dataflows
  •  identify and manage privacy settings on data sources
  •  create queries, functions, and parameters by using the Power Query Advanced Editor
  •  query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models
Implement and manage data models 25–30% Design and build tabular models
  •  choose when to use DirectQuery for Power BI datasets
  •  choose when to use external tools, including DAX Studio and Tabular Editor 2
  •  create calculation groups
  •  write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators
  •  design and build a large format dataset
  •  design and build composite models, including aggregations
  •  design and implement enterprise-scale row-level security and object-level security

Optimize enterprise-scale data models
  •  identify and implement performance improvements in queries and report visuals
  •  troubleshoot DAX performance by using DAX Studio
  •  optimize a data model by using Tabular Editor 2
  •  analyze data model efficiency by using VertiPaq Analyzer
  •  implement incremental refresh
  •  optimize a data model by using denormalization
Explore and visualize data 20–25% Explore data by using Azure Synapse Analytics
  •  explore data by using native visuals in Spark notebooks
  •  explore and visualize data by using the Azure Synapse SQL results pane

Visualize data by using Power BI
  •  create and import a custom report theme
  •  create R or Python visuals in Power BI
  •  connect to and query datasets by using the XMLA endpoint
  •  design and configure Power BI reports for accessibility
  •  enable personalized visuals in a report
  •  configure automatic page refresh
  •  create and distribute paginated reports in Power BI Report Builder

Updates in the Microsoft DP-500 Exam Syllabus:

Microsoft DP-500 exam questions and practice test are the best ways to get fully prepared. Study4exam's trusted preparation material consists of both practice questions and practice test. To pass the actual Azure Enterprise Data Analyst Associate DP-500 exam on the first attempt, you need to put in hard work on these Microsoft DP-500 questions that provide updated information about the entire exam syllabus. Besides studying actual questions, you should take the Microsoft DP-500 practice test for self-assessment and actual exam simulation. Revise actual exam questions and remove your mistakes with the Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP-500 exam practice test. Online and windows-based formats of the DP-500 exam practice test are available for self-assessment.

 

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