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Microsoft Azure Data Fundamentals
Duration
Not Applicable
Course
LQEX-MOC-DP-900
Available Formats
Exam Vouchers
Course Description
Overview
This exam measures your ability to accomplish the following tasks: describe core data concepts; identify considerations for relational data on Azure; describe considerations for working with non-relational data on Azure; and describe an analytics workload on AzureThis exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services.
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.
You may be eligible for ACE college credit if you pass this certification exam.
Passing score: 700
Objectives
Audience
This exam is intended for candidates beginning to work with data in the cloud.
Prerequisites
-
Candidates for this exam should have familiarity with Exam DP-900’s self-paced or instructor-led learning material.
Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.
Topics
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
- Describe common formats for data files
- Describe types of databases
- Describe features of transactional workloads
- Describe features of analytical workloads
- Describe responsibilities for database administrators
- Describe responsibilities for data engineers
- Describe responsibilities for data analysts
- Identify features of relational data
- Describe normalization and why it is used
- Identify common structured query language (SQL) statements
- Identify common database objects
- 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 Azure Blob storage
- Describe Azure File storage
- Describe Azure Table storage
- Identify use cases for Azure Cosmos DB
- Describe Azure Cosmos DB APIs
- 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 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
- Identify capabilities of Power BI
- Describe features of data models in Power BI
- Identify appropriate visualizations for data
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Please take a moment to fill out this form. We will get back to you as soon as possible.
All fields marked with an asterisk (*) are mandatory.