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Microsoft Certified: Azure Data Fundamentals Certification | Exam DP-900

Get Microsoft Certified in Azure Data Fundamentals in just 1 day! Please note: deadline to sign up is Wednesday 16th June, 5pm BST.

Description

Please note: deadline to sign up is Wednesday 16th June, 5pm BST. 

On this accelerated Microsoft Certified: Azure Data Fundamentals course, you'll be introduced to core data concepts and how they are designed, built, and operate using Microsoft Azure data services.

In just 1 day, you'll build knowledge on:

  • How to work with relational and non-relational data on Azure
  • Describing and examining an analytics workload on Azure

You’ll get access to Microsoft Official Curriculum (MOCs) and learn from certified instructors (MCTs) as Firebrand is a Microsoft Gold Partner for Learning.

Through Firebrand’s Lecture | Lab | Review methodology in-hand with our Online Instructor-Led (OIL) Training, you’ll achieve your Microsoft certification at twice the speed from the comfort of your own home, and without the loss of an all-inclusive classroom environment.

Curriculum

  • Module 1: Describe core data concepts
  • Module 2: Describe how to work with relational data on Azure
  • Module 3: Describe how to work with non-relational data on Azure
  • Module 4: Describe an analytics workload on Azure

Audience

If you're interested in working with data in the cloud, this course is ideal for you.

Prerequisites

Before attending this accelerated course, you should have:

  • Familiarity of the concepts of relational and non-relational data
  • Familiarity of the different types of data workloads like transactional or analytical

Exam Track

As part of your accelerated course, you'll sit the following exam, covered by your Certification Guarantee:

Exam DP-900: Microsoft Azure Data Fundamentals

  • Exam code: DP-900
  • Domains:
    1. Describe core data concepts (15-20%)
    2. Describe how to work with relational data on Azure (25-30%)
    3. Describe how to work with non-relational data on Azure (25-30%)
    4. Describe an analytics workload on Azure (25-30%)

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