Requirements

• Basic Understanding of Data Concepts
• No Prior Azure Experience Required
• Basic SQL Knowledge (Recommended)
• Understanding of Database Concepts
• No Specific Programming Skills Required
• A Desire to Learn Microsoft Azure Data Services
• Preparation for Exam Success

Description

Prepare for the DP-900: Microsoft Azure Data Fundamentals certification exam with this comprehensive practice test. This exam is designed for individuals who are eager to build their foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Whether you’re new to data or looking to validate your knowledge, this practice test will help you become well-versed in key Azure data services and their capabilities.

This practice test will assess your understanding across a range of topics, including relational and non-relational data, data storage and processing, data security, and analytics services. By working through these practice questions, you will gain confidence in your ability to manage and query data in the Azure environment.

The practice test is divided into several sections, each covering the key objectives of the DP-900 exam. These sections will test your knowledge in areas such as:

1. Core Data Concepts:

   • Understanding different types of data (structured, semi-structured, and unstructured) and their use cases.

   • The differences between relational and non-relational databases.

   • Core concepts of data operations, including data ingestion, storage, and querying.

2. Working with Relational Data on Azure:

   • Provisioning and managing Azure SQL Database, Azure SQL Managed Instance, and other relational database services.

   • Understanding how to write and execute SQL queries in Azure, including the use of Azure Data Studio and SQL Server Management Studio (SSMS).

   • Exploring the capabilities of Azure’s relational data services to meet different business needs.

3. Non-relational Data on Azure:

   • Exploring Azure Cosmos DB and its various APIs (SQL, MongoDB, Cassandra, etc.).

   • Using Azure Blob Storage and Azure Table Storage for unstructured and NoSQL data storage.

   • Understanding the role of these non-relational services in modern cloud applications and big data workloads.

4. Data Analytics on Azure:

   • Analyzing data with Azure Synapse Analytics and how to use it for data warehousing and big data analytics.

   • Managing and processing large datasets using Azure Data Lake Storage Gen2.

   • Understanding the use of Azure HDInsight and Azure Databricks for big data processing and machine learning workloads.

5. Azure Data Services:

   • Leveraging Azure Data Factory for data integration and ETL (Extract, Transform, Load) processes.

   • Sharing data securely using Azure Data Share.

   • Managing different types of Azure database solutions to fit specific business and technical needs.

This course is an ideal companion for anyone aiming to take the DP-900 certification exam and provides an opportunity to test your readiness. Each section is designed to simulate the experience of the real exam, ensuring that you understand the format and style of questions that will appear on the actual test.

By the end of this practice test, you’ll have a clear understanding of the key topics of the DP-900 exam and feel well-prepared to confidently tackle the certification exam.

Key Features:

• Realistic practice questions covering all major topics of the DP-900 exam.

• Detailed explanations for each answer to help reinforce learning.

• Coverage of both relational and non-relational data solutions on Azure.

• In-depth analysis of data analytics and big data tools available on Azure.

• Hands-on practice to help you understand the nuances of Azure’s data services.

Who this course is for:

• Aspiring Data Professionals
• Beginners to Microsoft Azure
• Students Preparing for the DP-900 Exam
• IT Professionals Expanding Their Skillset
• Business Analysts and Decision Makers
• Students Interested in Data Analytics and Big Data
• Cloud Architects and Developers
• Professionals Looking to Transition to Cloud-Based Roles