A brief introduction to the course
For most users, access to the relevant qualifying examinations may be the first, so many of the course content related to qualifying examinations are complex and arcane. According to these ignorant beginners, the DP-900 exam questions set up a series of basic course, by easy to read, with corresponding examples to explain at the same time, the Microsoft Azure Data Fundamentals study question let the user to be able to find in real life and corresponds to the actual use of learned knowledge, deepened the understanding of the users and memory. Simple text messages, deserve to go up colorful stories and pictures beauty, make the DP-900 test guide better meet the zero basis for beginners, let them in the relaxed happy atmosphere to learn more useful knowledge, more good combined with practical, so as to achieve the state of unity.
Microsoft DP-900: Microsoft Azure Data Fundamentals is a certification exam that is designed to validate the basic knowledge of candidates regarding data concepts in the Azure environment. DP-900 exam is ideal for individuals who have some experience working with data and are looking to enhance their skills and knowledge in managing and analyzing data using Azure services.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
A true simulation environment
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Concise contents
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Earning the Microsoft DP-900 certification will not only validate your skills and knowledge in the field of data and analytics but will also help you stand out from the crowd when applying for jobs or seeking promotions within your organization. It is a great way to demonstrate your commitment to your profession and to show that you are willing to invest time and effort into your career development.
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Microsoft DP-900 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
- 1. Describe Azure Table storage
- 2. Describe Azure File storage
- 3. Describe Azure Blob storage
- 4. Describe Azure Cosmos DB
- Describe non-relational concepts
- 1. Identify non-relational data
- 2. Describe non-relational data offerings
|
| Describe core data concepts | 25-30% | - Describe ways to represent data
- 1. Describe features of structured data
- 2. Describe features of semi-structured data
- 3. Describe features of unstructured data
- Identify options for data storage
- 1. Describe types of databases
- 2. Describe common formats for data files
|
| Describe an analytics workload on Azure | 25-30% | - Describe Azure data analytics services
- 1. Describe Azure Stream Analytics
- 2. Describe Azure Synapse Analytics
- 3. Describe Microsoft Fabric
- 4. Describe Azure Databricks
- 5. Describe Azure HDInsight
- 6. Describe Azure Data Factory
- Describe analytics concepts
- 1. Describe data warehousing
- 2. Describe analytical workloads
- 3. Describe ETL and ELT processes
- 4. Describe transactional workloads
- Describe data visualization in Microsoft Power BI
- 1. Describe Power BI
- 2. Describe Power BI reports and dashboards
- 3. Describe Power BI tools and workflow
|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
- 1. Describe Azure SQL Database
- 2. Describe Azure SQL family of products
- 3. Describe SQL Server on Azure Virtual Machines
- 4. Describe Azure SQL Managed Instance
- 5. Describe Azure Database for MySQL
- 6. Describe Azure Database for PostgreSQL
- 7. Describe Azure Database for MariaDB
- Describe relational concepts
- 1. Describe normalization
- 2. Identify features of relational data
|