DP-500 Exam Information and Guideline
Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
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Exam Specification: DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Exam Name: DP-500 Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI
Exam Code: DP-500
Exam Duration: 150 minutes
Passing Score: 700 out of 1000
Exam Format: Multiple-choice
Exam Delivery: Proctored online or at a testing center
Course Outline:
1. Introduction to Enterprise-Scale Analytics Solutions
- Overview of enterprise-scale analytics solutions
- Understanding the benefits and features of Microsoft Azure and Power BI
- Exploring the architecture and components of Azure and Power BI
2. Planning and Designing Azure Data Platform Solutions
- Gathering and analyzing business requirements
- Designing data storage and processing solutions using Azure services
- Designing data integration and data movement solutions
3. Designing Data Processing Solutions
- Designing batch processing solutions using Azure Data Factory
- Designing real-time data processing solutions using Azure Stream Analytics
- Designing big data processing solutions using Azure Databricks and HDInsight
4. Designing Data Storage Solutions
- Designing relational and non-relational data storage solutions using Azure services
- Designing data warehousing solutions using Azure Synapse Analytics
- Designing data lake and analytics solutions using Azure Data Lake Storage and Azure Analysis Services
5. Implementing Power BI Solutions
- Designing and implementing data models in Power BI
- Creating and optimizing Power BI reports and dashboards
- Implementing security and governance in Power BI
Exam Objectives:
1. Understand the concepts, benefits, and features of enterprise-scale analytics solutions using Azure and Power BI.
2. Plan and design Azure data platform solutions based on business requirements.
3. Design data processing solutions using Azure Data Factory, Azure Stream Analytics, and Azure Databricks/HDInsight.
4. Design data storage solutions using Azure services, including Azure Synapse Analytics and Azure Data Lake Storage.
5. Design and implement data models, reports, and dashboards in Power BI.
6. Implement security and governance measures in Power BI.
Exam Syllabus:
Section 1: Introduction to Enterprise-Scale Analytics Solutions (10%)
- Enterprise-scale analytics solutions overview
- Benefits and features of Azure and Power BI
- Architecture and components of Azure and Power BI
Section 2: Planning and Designing Azure Data Platform Solutions (25%)
- Gathering and analyzing business requirements
- Designing data storage and processing solutions using Azure services
- Designing data integration and data movement solutions
Section 3: Designing Data Processing Solutions (25%)
- Designing batch processing solutions using Azure Data Factory
- Designing real-time data processing solutions using Azure Stream Analytics
- Designing big data processing solutions using Azure Databricks and HDInsight
Section 4: Designing Data Storage Solutions (25%)
- Designing relational and non-relational data storage solutions using Azure services
- Designing data warehousing solutions using Azure Synapse Analytics
- Designing data lake and analytics solutions using Azure Data Lake Storage and Azure Analysis Services
Section 5: Implementing Power BI Solutions (15%)
- Designing and implementing data models in Power BI
- Creating and optimizing Power BI reports and dashboards
- Implementing security and governance in Power BI