DP-500

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Introduce Microsoft DP-500 Exam

The Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP-500 exam is the part of the requirements for Microsoft Certified: Azure Enterprise Data Analyst Associate certification. Candidates for the DP-500 exam should have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions. The Microsoft DP-500 exam is available in multiple languages, including English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, Portuguese (Brazil), Chinese (Traditional), Italian. Make sure that you can pass the DP-500 exam and earn the Microsoft Certified: Azure Enterprise Data Analyst Associate certification to promote your positions.

Learning DP-500 Exam Objectives Is Strongly Recommended

• Manage Power BI assets by using Microsoft Purview
• Identify data sources in Azure by using Microsoft 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
• 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
• 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
• 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
• 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
• 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
• 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 (including the use of query folding)
• Optimize a data model by using denormalization
• Explore data by using native visuals in Spark notebooks
• Explore and visualize data by using the Azure Synapse SQL results pane
• 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

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