Microsoft Azure Certification DP-200

The Microsoft Azure DP-200 certification is one of the top-paying certifications globally. Implementing an Azure Data Solution (DP-200) is a course designed to qualify Azure Data Engineers on implementing data storage solutions, develop & manage data processing, and monitor & optimize data solutions. In this training, you will get to explore and validate your technical skills on Microsoft Azure.

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Microsoft Azure Certification DP-200 Course


The Microsoft Azure DP-200 certification is one of the top-paying certifications globally. Implementing an Azure Data Solution (DP-200) is a course designed to qualify Azure Data Engineers on implementing data storage solutions, develop & manage data processing, and monitor & optimize data solutions. In this training, you will get to explore and validate your technical skills on Microsoft Azure.

Course Curriculum


Audience

This Azure Data Engineer certification training is intended at training:

  • Data Architects
  • Data Administrators
  • Data Management Professionals
  • Business Intelligence Professionals
  • Professionals working on the Microsoft Azure platform
  • Professionals aiming to clear the Implementing an Azure Data Solution DP-200 exam

Eligibility Criteria

Candidates applying to this course are expected to have a fundamental knowledge of Microsoft Azure solutions. They must have:

  • A working experience with the Microsoft Azure cloud. Candidates certified with Microsoft Azure Fundamentals AZ-900 are recommended.
  • The ability to implement data solutions across Azure platform that include Azure Synapse, Azure Stream Analytics, Azure Cosmos DB, Azure Data Factory, Azure SQL Database, and more.

Course Objectives

This course focuses on training candidates on:

  • Implementing Azure data storage solutions
  • Managing and troubleshooting Azure data solutions
  • Understanding the role of Data Engineer in an organization
  • Handling Azure Data Factory, Azure Databricks, NoSQL, and other related areas
  • Monitoring and optimizing Azure Data Solutions.
  • How to prepare for the DP-200 certification exam

About The Examination

 

Exam Name: Microsoft Certified - Azure Data Engineer Associate

Exam Code: DP-200

Exam Price: $165 (USD)

Duration: 120 mins

Number of Questions: 40-60

Passing Score: 700 / 1000

Schedule Exam: Pearson VUE  

 

 

DOMAIN-WISE WEIGHTAGE

 

Implement Data Storage Solutions:                40-45%

Manage and Develop Data Processing:         25-30%

Monitor and Optimize Data Solutions:            30-35%

 

A NEW VERSION OF THIS EXAM, DP-203, IS AVAILABLE.

THE MICROSOFT AZURE DP-200 EXAM IS VALID TILL JUNE 30, 2021

Course Benefits

After attending this course, aspirants will be known as a Data Engineer Associate and will be able to:

  • Gain the knowledge necessary to pass the DP-200 exam
  • Assist stakeholders in understanding data through building, exploration, and maintaining compliant and secure data processing pipelines
  • Use different tools and techniques in Azure cloud
  • Ensure that data stores and data pipelines are efficient, high-performing, reliable and organized
  • Minimize data loss and ensure swift resolution of unanticipated issues
  • Design, monitor, implement, and optimize data platforms to meet the pipelines

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Training Options


ONLINE TRAINING

Instructor-Led Session


  • Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured Training Material
  • 24*7 Leaner Assistance And Support

CORPORATE TRAINING

Customized to your team's need


  • Customized Training Across Various Domains
  • Instructor-Led Skill Development Program
  • Ensure Maximum ROI for Corporates
  • 24*7 Learner Assistance and Support

Course Outline


This module explores how the world of data has evolved and how cloud data platform technologies are providing new opportunities for businesses to explore their data in different ways. The students will gain an overview of the various data platform technologies that are available and how a Data Engineer's role and responsibilities have evolved to work in this new world to an organization's benefit.

Lessons

  • Explain the evolving world of data
  • Survey the services in the Azure Data Platform
  • Identify the tasks that are performed by a Data Engineer
  • Describe the use cases for the cloud in a Case Study

Lab : Azure for the Data Engineer

  •  Identify the evolving world of data
  •  Determine the Azure Data Platform Services
  •  Identify tasks to be performed by a Data Engineer
  •   Finalize the data engineering deliverables

After completing this module, students will be able to:

  •  Explain the evolving world of data
  •  Survey the services in the Azure Data Platform
  •  Identify the tasks that are performed by a Data Engineer
  •   Describe the use cases for the cloud in a Case Study

This module teaches the variety of ways to store data in Azure. The students will learn the basics of storage management in Azure, how to create a Storage Account, and how to choose the right model for the data want to be stored in the cloud. They will also understand how Data Lake storage can be created to support a wide variety of big data analytics solutions with minimal effort.

Lessons

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  •  Explain Azure Data Lake storage
  •  Upload data into Azure Data Lake

Lab : Working with Data Storage

  • Choose a data storage approach in Azure
  •  Create a Storage Account
  •  Explain Data Lake Storage
  •  Upload data into Data Lake Store

After completing this module, students will be able to:

  • Choose a data storage approach in Azure
  • Create an Azure Storage Account
  •  Explain Azure Data Lake Storage
  • Upload data into Azure Data Lake

This module introduces students to Azure Databricks and how a Data Engineer works with it to enable an organization to perform Team Data Science projects. They will learn the fundamentals of Azure Databricks and Apache Spark notebooks; how to provision the service and workspaces; and how to perform data preparation tasks that can contribute to the data science project.

Lessons

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks

Lab : Enabling Team Based Data Science with Azure Databricks

  • Explain Azure Databricks
  • Work with Azure Databricks
  • Read data with Azure Databricks
  • Perform transformations with Azure Databricks

After completing this module, students will be able to:

  •  Explain Azure Databricks
  •  Work with Azure Databricks
  •  Read data with Azure Databricks
  •  Perform transformations with Azure Databricks

In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provide the service, how they can load and interrogate data in the service using Visual Studio Code extensions, and the Azure Cosmos DB .NET Core SDK. They will also learn how to configure the available options so that users are able to access the data from anywhere in the world.

Lessons

  • Create an Azure Cosmos DB database built to scale
  •  Insert and query data in your Azure Cosmos DB database
  •  Build a .NET Core app for Cosmos DB in Visual Studio Code
  •  Distribute data globally with Azure Cosmos DB

Lab : Building Globally Distributed Databases with Cosmos DB

  • Create an Azure Cosmos DB
  • Insert and query data in Azure Cosmos DB
  •  Build a .Net Core App for Azure Cosmos DB using VS Code
  •  Distribute data globally with Azure Cosmos DB

After completing this module, students will be able to:

  • Create an Azure Cosmos DB database built to scale
  • Insert and query data in your Azure Cosmos DB database
  • Build a .NET Core app for Azure Cosmos DB in Visual Studio Code
  • Distribute data globally with Azure Cosmos DB Module

In this module, students will explore the Azure relational data platform options, including SQL Database and SQL Data Warehouse. The students will be able explain why they would choose one service over another, and how to provision, connect, and manage each of the services.

Lessons

  • Use Azure SQL Database
  • Describe Azure SQL Data Warehouse
  • Creating and Querying an Azure SQL Data Warehouse
  • Use PolyBase to Load Data into Azure SQL Data Warehouse

Lab : Working with Relational Data Stores in the Cloud

  •  Use Azure SQL Database
  •  Describe Azure SQL Data Warehouse
  •  Creating and Querying an Azure SQL Data Warehouse
  •  Use PolyBase to Load Data into Azure SQL Data Warehouse

After completing this module, students will be able to:

  • Use Azure SQL Database
  • Describe Azure Data Warehouse
  • Create and Query an Azure SQL Data Warehouse
  • Use PolyBase to Load Data into Azure SQL Data Warehouse

In this module, students will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. The students will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, they will learn how to manage and monitor running jobs.

Lessons

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • Processing Data with Stream Analytics Jobs

Lab : Performing Real-Time Analytics with Stream Analytics

  •  Explain data streams and event processing
  •  Data Ingestion with Event Hubs
  •  Processing Data with Stream Analytics Jobs

After completing this module, students will:

  • Be able to explain data streams and event processing
  • Understand Data Ingestion with Event Hubs
  • Understand Processing Data with Stream Analytics Jobs

In this module, students will learn how Azure Data Factory can be used to orchestrate the data movement and transformation from a wide range of data platform technologies. They will be able to explain the capabilities of the technology and be able to set up an end to end data pipeline that ingests and transforms data.

Lessons

  • Explain how Azure Data Factory works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks

Lab : Orchestrating Data Movement with Azure Data Factory

  • Explain how Data Factory Works
  • Azure Data Factory Components
  • Azure Data Factory and Databricks

After completing this module, students will:

  • Understand Azure Data Factory and Databricks
  • Understand Azure Data Factory Components
  • Be able to explain how Azure Data Factory works

In this module, students will learn how Azure provides a multi-layered security model to protect data. The students will explore how security can range from setting up secure networks and access keys, to defining permission, to monitoring across a range of data stores.

Lessons

  •  An introduction to security
  •  Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

Lab : Securing Azure Data Platforms

  • An introduction to security
  • Key security components
  • Securing Storage Accounts and Data Lake Storage
  • Securing Data Stores
  • Securing Streaming Data

After completing this module, students will:

  • Have an introduction to security
  • Understand key security components
  • Understand securing Storage Accounts and Data Lake Storage
  • Understand securing Data Stores
  • Understand securing Streaming Data

In this module, the students will get an overview of the range of monitoring capabilities that are available to provide operational support should there be issue with a data platform architecture. They will explore the common data storage and data processing issues. Finally, disaster recovery options are revealed to ensure business continuity.

Lessons

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  •  Manage disaster recovery

Lab : Monitoring and Troubleshooting Data Storage and Processing

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  •  Manage disaster recovery

After completing this module, students will be able to:

  • Explain the monitoring capabilities that are available
  • Troubleshoot common data storage issues
  • Troubleshoot common data processing issues
  • Manage disaster recovery

Course Reviews


FAQ's


This exam is for Azure Data Engineers who are responsible for data-related tasks including implementing security requirements, provisioning data storage services, accessing external data sources, implementing data retention policies, identifying bottlenecks, etc.

The Microsoft Azure DP-200 exam will retire on June 30, 2021 and a new version – Data Engineering on Microsoft Azure Beta (DP-203) will be available.

The exam consists of 40-60 multiple-choice questions.

The important domains for Implementing an Azure Data Solution (DP-200) exam are:

  • Implement data storage solutions (40-45%)
  • Manage and develop data processing (25-30%)
  • Monitor and optimize data solutions (30-35%)

The exam cost of the DP-200 exam is $165.

Vinsys provides carefully drafted official courseware, multiple practice tests and 24x7 accessibility to learning materials apart from excellent, result-oriented trainings.