What
You’ll Learn
- Design and implement data storage solutions: Students will learn how to create and manage various Azure data storage options
- Develop data processing solutions: Learners will gain skills in developing batch and stream processing solutions
- Secure and monitor data engineering solutions: Students will understand how to implement security measures and monitor data solutions in Azure environments.
- Optimize and maintain data engineering solutions: Participants will learn techniques for performance tuning
- troubleshooting and storage solutions in Azure.
- Implement data integration and transformation: Students will master ETL (Extract
- Transform
- Load) processes using Azure services
- Design and implement data modeling: Learners will develop skills in creating efficient data models for both relational and non-relational data stores
- Implement and manage data pipelines: Participants will learn to design
- deploy
- and maintain robust data pipelines using Azure Data Factory and Azure services
Requirements
- Basic understanding of cloud computing concepts: Students should have a foundational knowledge of cloud services and deployment models.
- Familiarity with database concepts: A basic understanding of relational databases
- SQL
- and data modeling is essential.
- Fundamental knowledge of data processing: Basic understanding of data processing concepts
- ETL processes
- and data warehousing principles.
- Basic understanding of data security and compliance: Familiarity with general data security principles and awareness of common compliance standards (e.g.
- GDPR
- HIPAA) is helpful.
- Azure fundamentals: While not strictly necessary
- having completed the AZ-900 Azure Fundamentals certification or equivalent experience with Azure services would be beneficial.
Description
Get fully prepared for the DP-203: Data Engineering on Microsoft Azure certification exam with these carefully crafted practice tests. This course mirrors the real exam format, ensuring you are ready to tackle every section with confidence.
The practice tests cover all exam domains, including:
Design and Implement Data Storage (40-45%): Test your skills on Azure Data Lake Storage, Cosmos DB, and relational data models.
Design and Develop Data Processing (25-30%): Validate your expertise with data transformation, integration, and real-time processing using services like Azure Synapse Analytics, Azure Stream Analytics, and Azure Databricks.
Design and Implement Data Security (10-15%): Ensure you understand the best practices for data governance, privacy, and security in Azure environments.
Monitor and Optimize Data Storage and Data Processing (10-15%): Master monitoring, troubleshooting, and performance optimization for large-scale data solutions.
Each question is designed to mimic the style and difficulty of the real DP-203 exam, complete with detailed explanations and links to official documentation.
Key Features:
5 full-length timed practice tests with 250+ questions each
In-depth explanations and references for every question
A focus on real-world scenarios to enhance your learning experience
Unlimited retakes to track your progress
Each question includes detailed explanations and references, ensuring you fully understand the reasoning behind each answer. Whether you're new to Azure data engineering or brushing up on your skills, this course is tailored to help you succeed.
Who this course is for:
- Data Engineers: Professionals who are responsible for designing
- implementing
- and maintaining data solutions in cloud environments
- particularly those looking to specialize in Azure.
- Database Administrators: DBAs who want to transition their skills to cloud-based data engineering and expand their expertise in Azure data services.
- Business Intelligence Professionals: BI specialists aiming to enhance their skills in data pipeline development and large-scale data processing in Azure.
- Cloud Architects: Professionals designing cloud solutions who want to deepen their knowledge of data engineering best practices in Azure.
- Recent Graduates: Those with a degree in Computer Science
- Data Science
- or related fields who want to specialize in Azure data engineering.