About Microsoft DP-500 Exam

Certification Topics of Microsoft DP-500 Exam

Implement and manage a data analytics environment (25-30%)
Query and transform data (20-25%)
Implement and manage data models (25 -30%)
Explore and visualize data (20-25%)

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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-500

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Microsoft DP-500 Exam Syllabus Topics:

Section	Weight	Objectives
Query and Transform Data	20-25%	- Transform and prepare data 1. Create and manage dataflows 2. Prepare scalable datasets 3. Optimize Power Query transformations - Query data sources 1. Use Spark for data exploration 2. Query relational data using T-SQL 3. Analyze data with Azure Synapse Analytics
Explore and Visualize Data	20-25%	- Create visualizations and reports 1. Build enterprise-scale Power BI reports 2. Optimize report performance 3. Design effective dashboards - Analyze data 1. Use Azure Synapse Analytics for exploration 2. Perform advanced analytics
Implement and Manage Data Models	30-35%	- Design scalable semantic models 1. Optimize model performance 2. Create star schema models 3. Select appropriate model frameworks - Implement advanced modeling techniques 1. Implement DirectQuery solutions 2. Create calculation groups 3. Create model relationships - Secure analytical models 1. Implement row-level security 2. Manage access and permissions
Implement and Manage a Data Analytics Environment	25-30%	- Manage analytics lifecycle 1. Implement deployment pipelines 2. Apply source control and ALM strategies 3. Manage reusable assets - Administer analytics environments 1. Monitor and audit analytics solutions 2. Manage workspaces and capacities 3. Configure Power BI tenant settings - Govern and manage data assets 1. Manage enterprise data governance processes 2. Use Microsoft Purview to catalog and discover data assets