Microsoft Azure Data Fundamentals Mock & Practice Exam

The "Microsoft Azure Data Fundamentals Mock & Practice Exam" course is designed to help students prepare for the Microsoft Azure Data Fundamentals certification (Exam DP-900). This course provides a comprehensive review of the exam objectives, including core data concepts, relational and non-relational data on Azure, and modern data warehouse analytics solutions on Azure. Students will gain hands-on experience through practice exams and mock tests that simulate the actual certification exam environment, enhancing their knowledge and confidence.

Course Objectives:

By the end of this course, students will be able to:

1. Understand core data concepts such as relational, non-relational, big data, and analytics.

2. Describe how to work with relational data on Azure.

3. Explain how to work with non-relational data on Azure.

4. Identify the components of a modern data warehouse.

5. Utilize Azure data services including Azure SQL Database, Azure Cosmos DB, and Azure Synapse Analytics.

6. Effectively prepare for the Microsoft Azure Data Fundamentals certification exam through targeted practice and mock exams.

Course Content:

1. Introduction to Core Data Concepts

   • Overview of data fundamentals

   • Types of data: structured, semi-structured, and unstructured

   • Data roles and responsibilities

2. Relational Data on Azure

   • Introduction to relational data

   • Overview of Azure SQL Database

   • Creating, querying, and managing relational databases

   • Understanding Azure Database for MySQL and PostgreSQL

3. Non-Relational Data on Azure

   • Introduction to non-relational data

   • Overview of Azure Cosmos DB

   • Creating, querying, and managing non-relational databases

   • Working with other non-relational data services

4. Modern Data Warehousing

   • Introduction to data warehousing

   • Components of a modern data warehouse

   • Overview of Azure Synapse Analytics

   • Integrating and analyzing data

5. Data Analysis and Visualization

   • Basics of data analysis

   • Introduction to Power BI

   • Connecting to and transforming data sources

   • Building and sharing visualizations

6. Exam Preparation and Strategy

   • Understanding the exam structure and question types

   • Tips and strategies for effective exam preparation

   • Practice questions and mock exams

   • Review of key concepts and areas of focus

7. Mock Exams and Practice Tests

   • Full-length practice exams that simulate the actual DP-900 exam

   • Detailed explanations and rationales for each question

   • Time management and test-taking strategies