DP-203 AT one place

 

What is the Microsoft DP-203 Exam?

It is a professional exam to become certified as a Data Engineer working with Azure technologies, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks, and other related technologies.

What Does a Data Engineer Do?

Data Engineers are responsible for designing how to store, collect, process, and analyze data. They build the data pipelines, integrate the data, work with Big Data technologies, help improve scalability and performance, protect the data, automate the process, and coordinate with Data Scientists.

What are the Main Differences Between a Data Engineer and a Data Scientist?

The main difference is that the Data Scientist is focused on data analysis, while the Data Engineer focuses on extracting, processing, and protecting the data. The engineer is in charge of the data maintenance, updates, etc., and the scientist gets insights and knowledge from the data.

Is the Exam DP-203 Difficult?

It is a challenging exam as it covers many topics like Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, Azure Databricks, etc. If you have a lot of experience with those Azure technologies and many years working as a Data Engineer on Azure, this exam may not be so difficult. However, if you don’t have experience with those technologies, I strongly recommend trying easier exams first, like the AZ-900.

What Books Do You Recommend to Study for the Exam?

The following books can help you:

What Courses Would You Recommend for this Exam?

The following courses will help you prepare:

Which Links Can Help Me to Pass this Exam?

These links should be researched:

Design and Implement Data Storage

Devise and Execute a Data Storage Plan

Architect and Implement the Data Exploration Layer

Develop and Processing Data

Ingest and Transform the Data

Develop a Batch Processing Solution

Implement a Stream Processing Solution

Manage Batches and Pipelines

Secure, Optimize, and Monitor Data Storage and Data Processing

Develop Data Security

Monitor Data Processing and Data Storage

Improve and Troubleshoot Data Processing and Data Storage

Next Steps

For more information about Azure, check out these links:


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