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DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) Training


What DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) training is all about?

DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) Training provides individuals with comprehensive information and an in-depth explanation of ingesting, transforming, and egressing data from multiple sources using different tools and services. This technical course teaches one to design and implement the management, inspecting, privacy, and security of data with the help of a full stack of Azure services. It is suitable for Azure data engineers who want to improve their skills and build credibility. This course educates on operating with data storage and enabling group-based data science with Azure Databricks. By the end of the course, you will know how to develop globally distributed databases using Cosmos DB and execute real-time analytics with Stream Analytics.

Schedule
  • Delivery Format:
Date: Oct 05, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Nov 23, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1725 USD
  • Delivery Format:
Date: Dec 21, 2020 | 9:00 am - 5:00 pm EST
Location: Online
$1725 USD
What are the course objectives for DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) training?
  • Working with Data Storage
  • Enabling Team-Based Data Science with Azure Databricks
  • Building Globally Distributed Databases with Cosmos DB
  • Working with Relational Data Stores in the Cloud
  • Performing Real-Time Analytics with Stream Analytics
  • Orchestrating Data Movement with Azure Data Factory
  • Securing Azure Data Platforms
  • Monitoring and Troubleshooting Data Storage and Processing
  • Integrating and Optimizing Data Platforms
Who should attend DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) training?

The Azure Data Solution Training is aimed at business intelligence professionals, data professionals, and data architects planning to learn about various data platform technologies existing on Microsoft Azure. In addition to this, individuals who create apps that deliver data from different data platform technologies existing on Microsoft Azure.

What are the prerequisites for DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) training?

You must have Microsoft Azure Fundamentals (AZ-900) certification to take on DP-200 exam. You must have at least one years experience as data professional, business intelligence professional, or data architect.

What is the course outline for DP-200T01: Implementing an Azure Data Solution Associate (Data Engineer) training?
  • 1. Azure for the Data Engineer
  • a). Explain the evolving world of data
  • b). Survey the services in the Azure Data Platform
  • c). Identify the tasks that are performed by a Data Engineer
  • d). Describe the use cases for the cloud in a Case Study
  • e). Lab : Azure for the Data Engineer
  • 2. Working with Data Storage
  • a). Choose a data storage approach in Azure
  • b). Create an Azure Storage Account
  • c). Explain Azure Data Lake storage
  • d). Upload data into Azure Data Lake
  • e). Lab : Working with Data Storage
  • 3. Enabling Team Based Data Science with Azure Databricks
  • a). Explain Azure Databricks
  • b). Work with Azure Databricks
  • c). Read data with Azure Databricks
  • d). Perform transformations with Azure Databricks
  • e). Lab : Enabling Team Based Data Science with Azure Databricks
  • 4. Building Globally Distributed Databases with Cosmos DB
  • a). Create an Azure Cosmos DB database built to scale
  • b). Insert and query data in your Azure Cosmos DB database
  • c). Build a .NET Core app for Cosmos DB in Visual Studio Code
  • d). Distribute your data globally with Azure Cosmos DB
  • e). Lab : Building Globally Distributed Databases with Cosmos DB
  • 5. Working with Relational Data Stores in the Cloud
  • a). Use Azure SQL Database
  • b). Describe Azure SQL Data Warehouse
  • c). Creating and Querying an Azure SQL Data Warehouse
  • d). Use PolyBase to Load Data into Azure SQL Data Warehouse
  • e). Lab : Working with Relational Data Stores in the Cloud
  • 6. Performing Real-Time Analytics with Stream Analytics
  • a). Explain data streams and event processing
  • b). Data Ingestion with Event Hubs
  • c). Processing Data with Stream Analytics Jobs
  • d). Lab : Performing Real-Time Analytics with Stream Analytics
  • 7. Orchestrating Data Movement with Azure Data Factory
  • a). Explain how Azure Data Factory works
  • b). Azure Data Factory Components
  • c). Azure Data Factory and Databricks
  • d). Lab : Orchestrating Data Movement with Azure Data Factory
  • 8. Securing Azure Data Platforms
  • a). An introduction to security
  • b). Key security components
  • c). Securing Storage Accounts and Data Lake Storage
  • d). Securing Data Stores
  • e). Securing Streaming Data
  • f). Lab : Securing Azure Data Platforms
  • 9. Monitoring and Troubleshooting Data Storage and Processing
  • a). Explain the monitoring capabilities that are available
  • b). Troubleshoot common data storage issues
  • c). Troubleshoot common data processing issues
  • d). Manage disaster recovery
  • e). Lab : Monitoring and Troubleshooting Data Storage and Processing
FAQ's
  • Single choice based on a scenario
  • Multiple-choice questions
  • Arrange in right sequence type questions
  • case study with multiple questions
  • There will be at least three questions in a sequence to select from Yes or No; you cant skip these questions
  • You need to get 700 out of 1000 to pass the DP-200 examination. The total duration of DP-200 exam is 210 minutes. Out of total time, 180 minutes are reserved to answer 46 questions.

    According to Microsoft, the skills ratio measured in DP-200 exam are:

  • Implement data storage solutions (40-45%)
  • Manage and develop data processing (25-30%)
  • Monitor and optimize data solutions (30-35%)
  • Our highly experienced Microsoft Azure certified trainers cover the following topics to impart the perfection in optimizing Azure data solutions:

  • Troubleshooting data partitioning bottlenecks
  • Optimize data lake storage; Optimize stream analytics
  • Optimize SQL data warehouse and database
  • Data life cycle management
  • 3 Days | $ 1725
    4.7
      274 Ratings

    1741 Learners