DP-203 - Study Material - Data Engineering on Microsoft Azure

Microsoft DP-203 is an exam that tests a candidate's knowledge and skills in designing and implementing data solutions on Microsoft Azure. It covers topics such as data storage, data processing, data security, data integration, and data analysis.

The Microsoft DP-203 exam is a two-hour exam.

There are 60 questions in the Microsoft DP-203 exam.

The passing score for the Microsoft DP-203 exam is 700 out of 1000.

The minimum competency level required to pass the Microsoft DP-203 exam is Azure Data Engineer Associate.

The Microsoft DP-203 exam consists of multiple-choice and case study-based questions.

Microsoft DP-203 exam can be taken either online or in a testing center. If you choose to take the exam online, you will need to register for it through the Microsoft Learning website. Once you have registered, you will be able to access the exam and take it from the comfort of your own home. If you choose to take the exam in a testing center, you will need to contact a local Microsoft Certified Partner or Microsoft Authorized Test Center to schedule an appointment.

The Microsoft DP-203 exam is offered in English.

The cost of Microsoft DP-203 exam is $165 USD.

The target audience of the Microsoft DP-203 exam is IT professionals who have experience with data engineering and who are looking to certify their skills with the Microsoft Azure Data Engineer Associate certification. This includes individuals who develop and maintain data solutions, build scalable data warehouses, and deploy and manage data security solutions.

The average salary for someone with a Microsoft DP-203 certification is around $90,000 per year.

Microsoft provides official practice tests for the DP-203 exam through its Learning Platform. The practice tests are available for purchase from the Microsoft Learning Platform. Additionally, there are third-party providers that offer practice tests for the DP-203 exam.

The recommended experience for the Microsoft DP-203 exam is one to two years of experience in designing and implementing data solutions on Microsoft Azure, including data storage, processing, and security. This experience should include designing and implementing solutions that use data services such as Azure Data Lake, Azure Data Factory, Azure Stream Analytics, and Azure Databricks. It should also include experience with data movement and data transformation technologies, such as Azure Data Factory, Azure SQL Data Warehouse, and Azure Synapse Analytics. Additionally, experience with data governance and data lifecycle management solutions is recommended.

The Microsoft DP-203 Exam requires that candidates have knowledge of the core concepts and skills of Azure data services, including Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Synapse Analytics. They must also have knowledge of data ingestion, data processing, data storage, and data security. Additionally, experience with data modeling and data visualization is recommended.

The Microsoft DP-203 exam is no longer available. You can find more information about the exam, including its retirement date, on the Microsoft Learning website: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-203.

The Microsoft DP-203 Exam is a certification track and roadmap for individuals who want to become certified in Microsoft's Azure Data Engineer Associate certification. The DP-203 exam is the final exam in the certification track and is designed to test a candidate's knowledge and skills in designing, deploying, and managing data solutions on the Azure platform. The exam covers topics such as data storage, data processing, data security, and data governance. Candidates must pass the DP-203 exam in order to become certified in the Azure Data Engineer Associate certification.

Microsoft DP-203 exam covers the following topics: 1. Design and Implement a Data Warehouse: This topic covers the design and implementation of a data warehouse, including the selection of appropriate hardware and software, the creation of tables and views, and the use of ETL to populate the data warehouse. 2. Implement Data Flow and Control Flow in an SSIS Package: This topic covers the implementation of data flow and control flow in an SSIS package, including the use of tasks, containers, variables, and expressions. 3. Debug and Troubleshoot SSIS Packages: This topic covers the debugging and troubleshooting of SSIS packages, including the use of logging, breakpoints, and data viewers. 4. Implement an Azure Data Factory Solution: This topic covers the implementation of an Azure Data Factory solution, including the use of pipelines and activities. 5. Monitor and Optimize Data Movement and Data Transformation: This topic covers the monitoring

1. What is the purpose of the Azure Databricks platform? 2. What is the difference between Azure Blob Storage and Azure Data Lake Storage? 3. What are the components of the Azure Data Factory service? 4. Name the different types of data sources supported by Azure Data Factory? 5. How can you use the Azure Data Catalog to improve data governance? 6. What are the best practices for designing an Azure Data Warehouse? 7. What are the benefits of using Azure Data Lake Analytics? 8. How can you use the Azure Data Factory to integrate data from multiple sources? 9. What are the different types of data transformations available in Azure Data Factory? 10. How can you use the Azure Data Factory to deploy data-driven workflows?

The Microsoft DP-203 exam has a difficulty level of Intermediate.