Designing an Azure Data Solution (DP-201) Practice Exam
The Designing an Azure Data Solution (DP-201) exam is designed to validate a candidate's ability to design and implement data solutions using Microsoft Azure. This exam focuses on the design principles and best practices for developing data storage, data processing, and data integration solutions that leverage Azure services. Candidates are assessed on their understanding of various data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake, and their ability to design solutions that ensure data quality, security, and performance. Additionally, the exam covers the integration of data across multiple platforms and services within Azure.
Why is Designing an Azure Data Solution (DP-201) important?
- Validates expertise in designing data solutions using Microsoft Azure services.
- Demonstrates knowledge of data architecture, security, and compliance within Azure.
- Confirms ability to create scalable and efficient data processing solutions.
- Enhances career opportunities in data architecture, data engineering, and analytics.
- Relevant for organizations seeking professionals skilled in developing comprehensive Azure data solutions.
- Data Architect
- Data Engineer
- Cloud Solutions Architect
- Database Administrator
- Business Intelligence Developer
- Data Analyst
- ETL Developer
Skills Evaluated
Candidates taking the certification exam on the Designing an Azure Data Solution (DP-201) is evaluated for the following skills:
- Designing data storage solutions that meet business requirements.
- Creating data integration strategies across multiple data services.
- Implementing data security and compliance measures.
- Designing data processing solutions using Azure services like Data Factory and Databricks.
- Evaluating and optimizing data solutions for performance and scalability.
Designing an Azure Data Solution (DP-201) Certification Course Outline
The course outline of Azure Data Solution (DP-201) Certification exam is as:
1. Designing the Azure Data Storage Solutions (40-45%)
- Recommend an Azure data storage solution based on requirements
- Design non-relational cloud data stores
- Design relational cloud data stores
2. Designing Data Processing Solutions (25-30%)
- Design batch processing solutions
- Design real-time processing solutions
3. Designing Data Security and Compliance (25-30%)
- Design security for source data access
- Design security for data policies and standards