Practice Exams – DP-203: Data Engineering on Microsoft Azure

Get ready for a dynamic exam prep experience! While these aren't the exact questions you'll see on the official exam, they comprehensively cover everything you need to know. Dive into a mix of scenarios, each packed with questions designed to test your knowledge. Plus, we're always on the ball, regularly reviewing and updating the official exam requirements to keep your practice questions fresh and in line with the latest standards. Let's make your study sessions as effective and up-to-date as possible!

Here is what you will learn:

As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements, including:

• Modern data warehouse (MDW)

• Big data

• Lakehouse architecture

As an Azure data engineer, you also help to ensure that the operationalization of data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints. You help to identify and troubleshoot operational and data quality issues. You also design, implement, monitor, and optimize data platforms to meet the data pipelines.

As a candidate for this exam, you must have solid knowledge of data processing languages, including:

• SQL

• Python

• Scala

You need to understand parallel processing and data architecture patterns. You should be proficient in using the following to create data processing solutions:

• Azure Data Factory

• Azure Synapse Analytics

• Azure Stream Analytics

• Azure Event Hubs

• Azure Data Lake Storage

• Azure Databricks