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 exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. Your responsibilities for this role include:

• Ingesting and transforming data.

• Securing and managing an analytics solution.

• Monitoring and optimizing an analytics solution.

• You work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics.

  
  

You should be skilled at manipulating and transforming data by using Structured Query Language (SQL), PySpark, and Kusto Query Language (KQL).

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:

Skills measured

• Implement and manage an analytics solution

• Ingest and transform data

• Monitor and optimize an analytics solution

Learning Objectives

• Design and implement data storage on Azure Fabric

• Design and develop data processing on Azure Fabric

• Design and implement data security on Azure Fabric

• Monitor and optimize data storage and data processing on Azure Fabric