Implementing an Azure Data Solution (DP-200) Practice Exam

The Implementing an Azure Data Solution (DP-200) exam is designed to assess a candidate's ability to implement various data solutions using Microsoft Azure. It focuses on skills required to design, implement, and manage data solutions that leverage Azure data services, including Azure SQL Database, Azure Cosmos DB, Azure Data Lake, and data integration services. Candidates are tested on their knowledge of configuring and managing data storage, data processing, and data security, as well as their ability to implement best practices for data management and analytics.
Why is Implementing an Azure Data Solution (DP-200) important?

• Validates expertise in implementing data solutions using Microsoft Azure services.
• Demonstrates proficiency in managing Azure SQL Database, Cosmos DB, and other data services.
• Confirms ability to design and manage data pipelines and integrations effectively.
• Enhances career opportunities in data engineering, data analysis, and cloud solutions.
• Relevant for organizations seeking skilled professionals to manage and implement Azure-based data solutions.

Who should take the Implementing an Azure Data Solution (DP-200) Exam?

• Data Engineer
• Database Administrator
• Cloud Solutions Architect
• Data Analyst
• Business Intelligence Developer
• ETL Developer
• Data Warehouse Developer

Skills Evaluated

Candidates taking the certification exam on the Implementing an Azure Data Solution (DP-200) is evaluated for the following skills:

• Designing and implementing data storage solutions.
• Managing and optimizing Azure SQL Database and Azure Cosmos DB.
• Implementing data processing solutions using Azure Data Factory and other services.
• Ensuring data security and compliance in Azure data solutions.
• Monitoring and troubleshooting data solutions in Azure.

Implementing an Azure Data Solution (DP-200) Certification Course Outline
The course outline of Implementing an Azure Data Solution (DP-200) Certification exam is as:

1. Implement Data Storage Solutions (40-45%)

• Implement non-relational data stores
• Implement relational data stores
• Manage data security

2. Manage and Develop Data Processing (25-30%)

• Develop batch processing solutions
• Develop streaming solutions

3. Monitor and Optimize Data Solutions (30-35%)

• Monitor data storage
• Monitor data processing
• Optimize of Azure data solutions