Microsoft - Microsoft Designing and Implementing Enterprise-Scale



Just 3 Days



Classroom / Online / Hybrid

Next date

Next date:

26/6/2023 (Monday)


This accelerated Microsoft: Microsoft Designing and Implementing Enterprise-Scale course, covers methods and practices for performing advanced data analytics at scale.

In just 3 days, you’ll learn to use Microsoft Purview, Azure Synapse Analytics, and Power BI to build analytics solutions. You’ll also learn how to:

  • Build on existing analytics experience and will learn to implement and manage a data analytics environment, query and transform data, implement and manage data models, and explore and visualize data.

At the end of this course, you’ll sit the Microsoft exam, and achieve your Microsoft Designing and Implementing Enterprise-Scale certification.

Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.


This course is ideal for:

  • People who have subject matter expertise in designing, creating, and deploying enterprise-scale data analytics solutions.
  • People who have advanced Power BI skills, including managing data repositories and data processing in the cloud and on-premises, along with using Power Query and Data Analysis Expressions (DAX).

Four reasons why you should sit your course with Firebrand Training

  1. You'll be trained and certified faster. Learn more on this 3-day accelerated course. You'll get at least 12 hours a day of quality learning time in a distraction-free environment
  2. Your course is all-inclusive. One simple price covers all course materials, exams, accommodation and meals – so you can focus on learning
  3. Pass first time or train again for free. Your expert instructor will deliver our unique accelerated learning methods, allowing you to learn faster and be in the best possible position to pass first time. In the unlikely event that you don't, it's covered by your Certification Guarantee
  4. Study with an award-winning training provider. We've won the Learning and Performance Institute's "Training Company of the Year" three times. Firebrand is your fastest way to learn, with 134.561 students saving more than one million hours since 2001


Module 1: Implement and manage a data analytics environment (25–30%)

Govern and administer a data analytics environment

  • Manage Power BI assets by using Azure Purview
  • Identify data sources in Azure by using Azure Purview
  • Recommend settings in the Power BI admin portal
  • Recommend a monitoring and auditing solution for a data analytics environment, including Power BI REST API and PowerShell cmdlets

Integrate an analytics platform into an existing IT infrastructure

  • Identify requirements for a solution, including features, performance, and licensing strategy
  • Configure and manage Power BI capacity
  • Recommend and configure an on-premises gateway in Power BI
  • Recommend and configure a Power BI tenant or workspace to integrate with Azure Data Lake Storage Gen2
  • Integrate an existing Power BI workspace into Azure Synapse Analytics
  • Manage the analytics development lifecycle

    • Commit code and artifacts to a source control repository in Azure Synapse Analytics
    • Recommend a deployment strategy for Power BI assets
    • Recommend a source control strategy for Power BI assets
    • Implement and manage deployment pipelines in Power BI
    • Perform impact analysis of downstream dependencies from dataflows and datasets
    • Recommend automation solutions for the analytics development lifecycle, including Power BI

    REST API and PowerShell cmdlets

  • Deploy and manage datasets by using the XMLA endpoint
  • Create reusable assets, including Power BI templates, Power BI data source (.pbids) files, and shared datasets
  • Module 2: Query and transform data (20–25%)

    Query data by using Azure Synapse Analytics

  • Identify an appropriate Azure Synapse pool when analysing data
  • Recommend appropriate file types for querying serverless SQL pools
  • Query relational data sources in dedicated or serverless SQL pools, including querying partitioned data sources
  • Use a machine learning PREDICT function in a query Ingest and transform data by using Power BI
  • Identify data loading performance bottlenecks in Power Query or data sources
  • Implement performance improvements in Power Query and data sources
  • Create and manage scalable Power BI dataflows
  • Identify and manage privacy settings on data sources
  • Create queries, functions, and parameters by using the Power Query Advanced Editor
  • Query advanced data sources, including JSON, Parquet, APIs, and Azure Machine Learning models
  • Module 3: Implement and manage data models (25–30%)

    Design and build tabular models

    • Choose when to use DirectQuery for Power BI datasets
    • Choose when to use external tools, including DAX Studio and Tabular Editor 2
    • Create calculation groups
    • Write calculations that use DAX variables and functions, for example handling blanks or errors, creating virtual relationships, and working with iterators
    • Design and build a large format dataset
    • Design and build composite models, including aggregations
    • Design and implement enterprise-scale row-level security and object-level security

    Optimize enterprise-scale data models

    • Identify and implement performance improvements in queries and report visuals
    • Troubleshoot DAX performance by using DAX Studio
    • Optimize a data model by using Tabular Editor 2
    • Analyse data model efficiency by using VertiPaq Analyzer
    • Implement incremental refresh
    • Optimize a data model by using denormalization

    Module 4: Explore and visualize data (20–25%)

    Explore data by using Azure Synapse Analytics

    • Explore data by using native visuals in Spark notebooks
    • Explore and visualize data by using the Azure Synapse SQL results pane

    Visualize data by using Power BI

    • Create and import a custom report theme
    • Create R or Python visuals in Power BI
    • Connect to and query datasets by using the XMLA endpoint
    • Design and configure Power BI reports for accessibility
    • Enable personalized visuals in a report
    • Configure automatic page refresh
    • Create and distribute paginated reports in Power BI Report Builder

    Exam Track

    At the end of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

    DP-500: Designing and Implementing Enterprise-Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI exam

    This exam measures your ability to accomplish the following technical tasks: implement and manage a data analytics environment; query and transform data; implement and manage data models; and explore and visualize data.

    Passing score: 700


    • Implement and manage a data analytics environment (25–30%)
    • Query and transform data (20–25%)
    • Implement and manage data models (25–30%)
    • Explore and visualize data (20–25%)

    What's Included

    Your accelerated course includes:

    • Accommodation *
    • Meals, unlimited snacks, beverages, tea and coffee *
    • On-site exams **
    • Exam vouchers **
    • Practice tests **
    • Certification Guarantee ***
    • Courseware
    • Up-to 12 hours of instructor-led training each day
    • 24-hour lab access
    • Digital courseware **
    • * For residential training only. Accommodation is included from the night before the course starts. This doesn't apply for online courses.
    • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts
    • *** Pass first time or train again free as many times as it takes, unlimited for 1 year. Just pay for accommodation, exams, and incidental costs.


    Before attending this accelerated course, you should have:

    • A foundational knowledge of core data concepts and how they’re implemented using Azure data services.
    • Proficient understanding in consuming data from Azure Synapse Analytics and should have experience querying relational databases, analysing data by using Transact-SQL (T-SQL), and visualizing data.

    Are you ready to get certified in record time?

    We interview all applicants for the course on their technical background, degrees and certifications held, and general suitability. If you get through this screening process, it means you stand a great chance of passing.

    Firebrand Training is an immersive training environment. You must be committed to the course. The above prerequisites are guidelines, but many students with less experience have other background or traits that have enabled their success in accelerated training through Firebrand Training.

    If you have any doubts as to whether you meet the pre-requisites please call (0)8 52 50 01 66 and speak to one of our enrolment consultants, who can help you with a training plan.


    We've currently trained 134.561 students in 12 years. We asked them all to review our Accelerated Learning. Currently,
    96,48% have said Firebrand exceeded their expectations:

    "I really enjoyed this training. The instructor used many illustrations and examples to convey knowledge. I would certainly use Firebrand again and again. Thanks folks."
    Anonymous, Reckitt. (24/4/2023 (Monday) to 29/4/2023 (Saturday))

    "Training camp allows to focus and not being disturbed by daily routine"
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    "Great training at a well suited facility for long hours studying to get a qualification in a short period of time."
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    "It was my third training with Firebrand and each time I was very satisfied with the content, the process and the result."
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    "I enjoyed the broad overview of the subject matter I got here. Speaking with a experienced person of the field gives you great information. In the end I felt more knowledgeable and I'm looking forward to implementing the things in my daily work life."
    Sander De Schrijver, Sollitics. (25/4/2023 (Tuesday) to 28/4/2023 (Friday))

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