DP-900 Mock Tests

Master Azure Data Fundamentals with DP-900 Certification Prep

Gain a strong foundation in cloud data concepts with the DP-900: Microsoft Azure Data Fundamentals exam. This certification is ideal for individuals starting their journey with data in the cloud and seeking to understand core data principles and how they are implemented using Microsoft Azure data services. While not a prerequisite, it’s a valuable stepping stone for pursuing other Azure certifications like the Azure Database Administrator Associate or Azure Data Engineer Associate.

Key Concepts Covered:

• Core Data Concepts:
  • Understand fundamental data concepts, including relational data and non-relational data.
  • Differentiate between various data workloads, such as transactional and analytical workloads.
  • Explore different types of data workloads, including batch data and streaming data, and understand the distinction between them.
  • Learn about the characteristics of relational data.
  • Discover the characteristics of non-relational data and various NoSQL data types.
• Working with Relational Data on Azure:
  • Identify the optimal data offering for different relational workloads.
  • Understand relational data structures like tables, indexes, and views.
  • Compare and contrast PaaS, IaaS, and SaaS solutions in the context of Azure.
  • Explore the Azure SQL family of products, including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machines.
  • Learn about Azure Synapse Analytics for large-scale data warehousing.
  • Understand Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL.
  • Master basic management tasks for relational data, including provisioning, deployment, security (firewalls, authentication), and connectivity (on-premises, Azure VNets, Internet).
  • Become proficient in using query tools like Azure Data Studio, SQL Server Management Studio, and SQLCMD.
  • Compare Data Definition Language (DDL) and Data Manipulation Language (DML).
  • Query relational data in Azure SQL Database, Azure Database for PostgreSQL, and Azure Database for MySQL.
• Working with Non-Relational Data on Azure:
  • Identify Azure data services for non-relational workloads.
  • Understand Azure Cosmos DB APIs for globally distributed, multi-model database services.
  • Learn about Azure Table Storage for storing structured, key-value data.
  • Explore Azure Blob Storage for storing unstructured data like images, videos, and documents.
  • Understand Azure File Storage for creating and sharing file shares in the cloud.
  • Master basic management tasks for non-relational data, including provisioning, deployment, security (firewalls, authentication, encryption), and connectivity.
  • Identify management tools for non-relational data.
• Analytics Workloads on Azure:
  • Differentiate between transactional workloads and analytical workloads.
  • Understand the difference between batch processing and real-time processing.
  • Explore data warehousing workloads and when a data warehouse solution is necessary.
  • Learn about the components of a modern data warehouse and Azure data services like Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.
  • Understand modern data warehousing architecture and workload considerations.
  • Learn about data ingestion and processing on Azure, including common practices for data loading.
  • Understand the components of Azure Data Factory for data integration.
  • Explore various data processing options like Azure HDInsight, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.
• Data Visualization with Microsoft Power BI:
  • Understand the role of paginated reporting, interactive reports, and dashboards.
  • Learn the workflow in Microsoft Power BI for creating insightful visualizations.

This DP-900 exam preparation will equip you with the essential knowledge to effectively utilize Azure data services for a wide range of data-driven applications.