DP-203 – Data Engineering on Microsoft Azure

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What
You’ll Learn
  • Prepare to pass the Microsoft exam DP-203: Data Engineering on Microsoft Azure
  • Strategies to enhance performance
  • manage scalability
  • and ensure high availability for data solutions.
  • Build knowledge from beginner level to advanced level
  • Identifying issues and resolving errors within data processing workflows and storage solutions on Azure.
  • Techniques for securing data through encryption
  • authentication
  • authorization
  • and network security in Azure environments.

Requirements

  • Basic Understanding of Cloud Computing: Familiarity with cloud concepts
  • especially Microsoft Azure
  • is recommended.
  • A fundamental understanding of relational and non-relational databases
  • data modeling
  • and query languages like SQL.
  • Basic knowledge of Azure services
  • such as Azure Storage
  • Azure SQL Database
  • and Azure Data Factory
  • will be beneficial.

Description

The DP-203: Data Engineering on Microsoft Azure exam is designed for professionals who want to demonstrate their skills in designing, implementing, and maintaining data solutions on Microsoft Azure. This certification validates the candidate’s proficiency in using Azure data services to handle various tasks, such as data ingestion, transformation, storage, and analysis. It is ideal for individuals seeking to pursue a career in data engineering with expertise in the Azure ecosystem.

The exam covers a broad spectrum of data engineering concepts, including data storage, data processing, and data security. Candidates are expected to be proficient in working with Azure data platforms such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks. The exam evaluates the ability to design and implement data storage solutions, manage data processing pipelines, and optimize performance for large-scale data solutions.

Key skills tested in the DP-203 exam include:

  1. Designing and implementing data storage solutions: This includes selecting the appropriate data storage technology based on requirements such as performance, scalability, and availability. Candidates should know how to implement both relational and non-relational storage options, including Cosmos DB, Blob Storage, and Data Lake Storage.

  2. Designing and developing data processing solutions: This involves creating and managing data pipelines, using technologies like Azure Data Factory and Azure Databricks for data transformation and movement.

  3. Designing and implementing data security: Candidates must understand data encryption, authentication, authorization, and network security practices within Azure to protect sensitive information.

  4. Monitoring and optimizing data solutions: Knowledge in performance tuning, troubleshooting, and ensuring data solutions are highly available and efficient is critical.

The DP-203 exam requires both practical knowledge and theoretical understanding of data engineering principles on Azure. Passing this exam demonstrates that an individual is ready to work as a Data Engineer using Microsoft Azure.

Who this course is for:

  • Azure Professionals: Those who want to deepen their knowledge of data services and data engineering on the Azure platform.
  • Data Analysts: Professionals seeking to transition into more technical roles involving data pipeline design and management.
  • Engineers who wish to specialize in data management and processing solutions within the Azure cloud environment.

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