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200+ Questions, 5 Tests and Latest Microsoft Revised Exam Pattern as of Oct 2023 Detailed explanations and reference links provided to all questions.30 Day money back guaranteeYour questions will be answered as soon as we can.Guaranteed passUpdates:Oct-15-2023:5th Test introduced.Revised the questions as per latest certification tests.Feb-16-2023:Additional questions and explanations added.Minor Fixes on Test 2Feb-10-2023:Fixes on test 1Areas CoveredDescribe types of core data workloads, batch and streaming data, and core concepts of data analytics.Describe relational data workloads, relational Azure data services such as comparing PaaS, IaaS, and SaaS delivery models.Identify basic management tasks for relational data including provisioning and deployment of relational data services and describing query techniques for data using SQL language.Describe non-relational data workloads and non-relational data offerings on Azure and describe provisioning and deployment of non-relational data services.Describe analytics workloads and components of a modern data warehouseDescribe data ingestion and processing on Azure and data visualization in Microsoft Power BIThis exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. Candidates for this exam should have familiarity with Exam DP-900's self-paced or instructor-led learning material.This exam is intended for candidates beginning to work with data in the cloud.Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it is not a prerequisite for any of them.Skills measured.Describe core data concepts (25-30%)Identify considerations for relational data on Azure (20-25%)Describe considerations for working with non-relational data on Azure (15-20%)Describe an analytics workload on Azure (25-30%)