DP 203 : Microsoft Certified Data Engineer Associate Tests

The course is constructed in the simplest way for a person to understand easily.The course questions is similar to the actual questions in the exam but surely read through all the description to score more than 90%.Will be always available to guide.

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As a candidate for this certification, you should have subject matter expertise in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.

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 certification, 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

Learning Objectives

• Design and implement data storage on Azure

• Design and develop data processing on Azure

• Design and implement data security on Azure

• Monitor and optimize data storage and data processing on Azure