DP-200: Implementing an Azure Data Solution Course Overview

Note: This exam retired on August 31, 2021. A new version of this exam, DP-203 is available. Do visit DP-203 course page for more details. 

DP-200 BootCamp course from CloudThat is designed to train candidates who plan to take up the Microsoft DP-200 certification exam. Taking this course and passing the Microsoft Azure DP-200 exam will meet all the requirements needed to become a Microsoft Certified Azure Data Engineer Associate.

After completing Implementing an Azure Data Solution Training, students will be able to

  • Learn Azure data services to satisfy business needs
  • Design and implement the management, monitoring, security and privacy of data

Upcoming Batches

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2025-01-13

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2025-01-27

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2025-02-03

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2025-02-10

2025-02-13

DP-200 Certification Key Features

  • Our training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL)

  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL)

  • Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL) along with Exam Guides.

  • Well-structured use-cases to simulate challenges encountered in a Real-World environment

  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform

  • Being a Microsoft Learning Partner provides us with the edge over competition

Who should attend this DP-200 Training

  • Engineers who collaborate with business stakeholders to identify and meet data requirements while designing and implementing the management, monitoring, security and privacy of data using the full stack of Azure services to satisfy business needs

DP-200 Training Prerequisites

  • Basic knowledge of Cloud platform: preferably Microsoft Azure
  • IT industry work experience or those pursuing a degree in the IT field
  • Strong learning acumen

DP-200 Course Outline Download Course Outline

This module explores how the world of data has evolved and how Cloud data platform technologies are providing new opportunities for business to explore their data in different ways. The student will gain an overview of the various data platform technologies that are available, and how a Data Engineers role and responsibilities have evolved to work in this new world to an organization 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

Hands-On: 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

This module teaches a variety of ways to store data in Azure. The Student 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 you want to store 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

Hands-On: 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

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 learn 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

Hands-On: 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

In this module, students will learn how to work with NoSQL data using Azure Cosmos DB. They will learn how to provide the service, and 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 your data globally with Azure Cosmos DB

Hands-On: 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

In this module, students will explore the Azure relational data platform options including SQL Database and SQL Data Warehouse. The student will be able to 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

Hands-On: 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

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, you 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

Hands-On: Performing Real-Time Analytics with Stream Analytics

  • Explain data streams and event processing
  • Data Ingestion with Event Hubs
  • 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

Hands-On: Orchestrating Data Movement with Azure Data Factory

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

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

Hands-On: Securing Azure Data Platforms

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

In this module, the student will get an overview of the range of monitoring capabilities that are available to provide operational support should there be an issue with a data platform architecture. They will explore 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

Hands-On: 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

Certification

  • By earning DP-200 certification, you can become Microsoft Certified Azure Data Engineer Associate
  • Demonstrate abilities to design and implement the management, monitoring, security and privacy of data
  • On successful completion of DP-200: Implementing an Azure Data Solution training aspirants receive a Course Completion Certificate from us
  • By successfully clearing the DP-200 exams, aspirants earn Microsoft Certification

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Excellent training assistance I have received from CloudThat. I am looking forward to learn more from amazing trainers.

Frequently Asked Questions

The cost of the Microsoft Azure Data Engineer Associate certification exam is ₹4800 plus GST in Bangalore and other Indian cities. The exam cost is mostly priced according to the currency values in specific regions and countries. However, the exam prices are subject to change and may also vary depending on the additional taxes that may apply in some countries and regions.

Candidates need to score 700 (on a scale of 1-1000) approx. to pass the Microsoft DP-200 exam.

To prepare for the DP-200 certification and pass the exam successfully, candidates need to enroll in CloudThat’s Azure Data Engineer Associate certification training course in Bangalore. Our subject matter experts and certified Azure trainers offer training through online or instructor-led classes and provide relevant study material necessary to support your exam preparation. At CloudThat, you can strengthen your practical Azure skills through hands-on lab sessions and test your knowledge before the final exam through our testprep platform. Besides our training and assistance, candidates can also: • Join online forum discussions and study groups to enrich your knowledge. • Have a detailed understanding of the exam structure. • Study Microsoft documentation along with relevant whitepapers and eBooks.

The different types of DP-200 exam questions that may appear in the real exam include: • Multiple-choice questions • Yes-No questions • Fill in the blanks • Short answer questions

DP-200: Candidates for this exam must be able to implement data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics (formerly Azure SQL DW), Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage. DP-201: Candidates for this exam must design data solutions that use the following Azure services: Azure Cosmos DB, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

After completing CloudThat’s highly interactive DP-200 Azure training in Bangalore or other cities, you will be able to: • Implement data storage solutions • Manage and develop data processing • Monitor and optimize data solutions

Candidates need to answer between 45-60 questions. However, the number of questions may change as and when changes in technology and job roles occur.

Candidates appearing for the DP-200 exam will get 180 minutes to complete the Microsoft Azure Data Engineer Associate certification exam.

CloudThat’s Azure training course for the preparation of DP-200 certification exam can be taken up by: Engineers who collaborates with business stakeholders to identify and meet data requirements while designing and implementing the management, monitoring, security and privacy of data using the full stack of Azure services to satisfy business needs.

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