DP-900: Microsoft Azure Data Fundamentals

Demonstrate knowledge of core data concepts and related Microsoft Azure data services.

Description

Welcome to the top-quality DP-900: Microsoft Azure Data Fundamentals practice tests to help you prepare for your DP-900 exam.

These tests will help you in preparing for the DP-900 exam in 2022/23. All the latest changes are covered. The latest questions are added for the preparation.

Course Updates:

last updated: 29/01/2023

Total 140 questions were divided into three practice sets.

Updated explanations

The course offers the following features:

DETAILED EXPLANATIONS, REFERENCE LINKS – Every question has a detailed explanation and reference links to Microsoft online documentation.

ALWAYS UP TO DATE – These practice tests are constantly updated with new questions and based on the student’s feedback.

HANDPICKED UNIQUE QUESTIONS – We have picked selective questions emphasizing on quality rather than quantity.

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This 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%)

Functional groups

Describe core data concepts (25—30%)

Describe ways to represent data

· Describe features of structured data

· Describe features of semi-structured

· Describe features of unstructured data

Identify options for data storage

· Describe common formats for data files

· Describe types of databases

Describe common data workloads

· Describe features of transactional workloads

· Describe features of analytical workloads

Identify roles and responsibilities for data workloads

· Describe responsibilities for database administrators

· Describe responsibilities for data engineers

· Describe responsibilities for data analysts

Identify considerations for relational data on Azure (20—25%)

Describe relational concepts

· Identify features of relational data

· Describe normalization and why it is used

· Identify common structured query language (SQL) statements

· Identify common database objects

Describe relational Azure data services

· Describe the Azure SQL family of products including Azure SQL Database, Azure SQL

· Managed Instance, and SQL Server on Azure Virtual Machines

· Identify Azure database services for open-source database systems

Describe considerations for working with non-relational data on Azure (15—20%)

Describe capabilities of Azure storage

· Describe Azure Blob storage

· Describe Azure File storage

· Describe Azure Table storage

Describe capabilities and features of Azure Cosmos DB

· Identify use cases for Azure Cosmos DB

· Describe Azure Cosmos DB APIs

Describe an analytics workload on Azure (25—30%)

Describe common elements of large-scale analytics

· Describe considerations for data ingestion and processing

· Describe options for analytical data stores

· Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks, Azure HDInsight, and Azure Data Factory

Describe consideration for real-time data analytics

· Describe the difference between batch and streaming data

· Describe technologies for real-time analytics including Azure Stream Analytics, Azure Synapse Data Explorer, and Spark structured streaming

Describe data visualization in Microsoft Power BI

· Identify capabilities of Power BI

· Describe features of data models in Power BI

· Identify appropriate visualizations for data

Who this course is for:

  • This exam is intended for candidates beginning to work with data in the cloud.

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