Use this quick start guide to collect all the information about Microsoft Azure Data Fundamentals (DP-900) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the DP-900 Microsoft Azure Data Fundamentals exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft MCF Azure Data certification exam.
The Microsoft Azure Data Fundamentals certification is mainly targeted to those candidates who want to build their career in Microsoft Azure domain. The Microsoft Certified - Azure Data Fundamentals exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft MCF Azure Data.
Microsoft Azure Data Fundamentals Exam Summary:
| Exam Name | Microsoft Certified - Azure Data Fundamentals |
| Exam Code | DP-900 |
| Exam Price | $99 (USD) |
| Duration | 65 mins |
| Number of Questions | 40-60 |
| Passing Score | 700 / 1000 |
| Books / Training | DP-900T00-A: Microsoft Azure Data Fundamentals |
| Schedule Exam | Pearson VUE |
| Sample Questions | Microsoft Azure Data Fundamentals Sample Questions |
| Practice Exam | Microsoft DP-900 Certification Practice Exam |
Microsoft DP-900 Exam Syllabus Topics:
| Topic | Details |
|---|---|
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 (25-30%) |
|
| Describe common elements of large-scale analytics |
- Describe considerations for data ingestion and processing - Describe options for analytical data stores - Describe Microsoft cloud services for large-scale analytics, including Azure Databricks and Microsoft Fabric |
| Describe consideration for real-time data analytics |
- Describe the difference between batch and streaming data - Identify Microsoft cloud services for real-time analytics |
| 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 |
To ensure success in Microsoft Azure Data Fundamentals certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Azure Data Fundamentals (DP-900) exam.