DP-203 Data Engineering on Microsoft Azure is a new beta exam replacement of DP-200 and DP-201 exams which will retire on June 30, 2021. It's the only requirement to earn the Microsoft Certified: Azure Data Engineer Associate certification. PassQuestion new released DP-203 Exam Questions which have have a very close similarity with real exam. PassQuestion can promise that you can 100% pass your first time to attend Microsoft DP-203 exam. The DP-203 Exam Questions of PassQuestion can not only help you pass Microsoft DP-203 exam and consolidate your professional knowledge, but also provide you one year free update service.

Exam DP-203: Data Engineering on Microsoft Azure (beta)

Azure Data Engineers integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.Candidates for Exam DP-203: Data Engineering on Microsoft Azure must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

A candidate for the Azure Data Engineer Associate certification should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.

You will earn this certification if you complete one of the following options:

Pass DP-200 and DP-201 (retiring on June 30, 2021) or
Pass DP-203 (beta released February 23, 2021)

Prerequisites For The DP-203

Candidates for this exam must have a good knowledge of data processing languages such as:

SQL
Python
Scala

Exam Details

Certification Name: Data Engineering on Microsoft Azure (beta)
Exam Cost: $165 USD*
Languages: English
Retirement date: none
Available date: February 23, 2021

DP-203 Exam Domain Content

The important domains covered in Microsoft Azure Exam DP-203 Exam are:

Design and Implement Data Storage (40-45%)

Design a data storage structure
Design a partitioning strategy
Design the serving layer
Implement physical data storage structures
Implement logical data structures
Implement the serving layer

Design and Develop Data Processing (25-30%)

Ingest and transform data
Design and develop a batch processing solution
Design and develop a stream processing solution
Manage batches and pipelines
Check Out : How Azure Event Hub & Event Grid Works.

Design and Implement Data Security (10-15%)

Design security for data policies and standards
Implement data security

Monitor and Optimize Data Storage and Data Processing (10-15%)

Monitor data storage and data processing
Optimize and troubleshoot data storage and data processing

New Topics added in DP-203

Design a partitioning strategy
Design the serving layer
Implement logical data structures
Implement the serving layer
Design and develop a stream processing solution
Manage batches and pipelines