Docker Certified Associate – Preparation & methodology
Preparing for the Docker Certified Associate (DCA) exam is an achievable goal with the right plan, focused practice, and high-quality mock exams.
Microsoft
Microsoft Certified: Azure Data Engineer Associate
The DP-203 certification by Microsoft validates expertise in data engineering on Azure.
Code examen
DP-203
Prérequis officiels
- Foundational knowledge of Microsoft Azure services and cloud concepts
- Experience building or maintaining data pipelines and ETL/ELT workflows
- Working knowledge of SQL, relational databases, and data modeling
- Familiarity with Azure data services such as Synapse Analytics, Data Factory, Databricks, and storage
- Recommended prior experience with Azure fundamentals or related data engineering work
Professions ciblées
Azure Data Engineer Data Engineer Analytics Engineer ETL Developer Cloud Data EngineerDomaines clés
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This domain involves designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs.
Focuses on designing and developing processing solutions to load and transform data using Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
Covers implementation of data security policies, securing sensitive data, and configuring security solutions in Azure using tools like Azure Key Vault and Azure Active Directory.
Concentrates on the configuration and management of monitoring tools to improve processing and storage performance in Azure data services.
Design and implement efficient and scalable storage solutions including partitioning strategies, logical and physical structures, data lakes and analytical layers to support exploration and analytics workloads on Azure services such as Data Lake Storage Gen2 and Synapse Analytics.
un domaine 5
Design and implement data storage
Design and implement efficient and scalable storage solutions including partitioning strategies, logical and physical structures, data lakes and analytical layers to support exploration and analytics workloads on Azure services such as Data Lake Storage Gen2 and Synapse Analytics.
un domaine 6
Develop data processing
Ingest, transform, batch and stream process data using tools like Azure Data Factory, Databricks, Synapse, Event Hubs, and Stream Analytics; handle schema drift, late-arriving, duplicated or missing data; manage pipelines and batch orchestration.
un domaine 7
Secure, monitor, and optimize data storage and data processing
Implement security controls like encryption, masking, RBAC, row‐ and column-level security; monitor pipelines, queries, storage and stream processing using Azure Monitor and related services; optimize performance, resource usage and troubleshoot storage and processing issues.
Conseil d'étude
Align study to the exam skills outline, then do timed practice tests, review every wrong answer’s rationale, and drill weak areas in Synapse, Data Factory, security, and storage integration.
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