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Microsoft DP-900 Deutsch Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Microsoft Azure Data Fundamentals |
| Exam Number: | DP-900 |
| Exam Price: | USD 99 |
| Passing Score: | 700 / 1000 |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian |
| Exam Format: | Multiple-choice, Scenario-based |
| Certificate Validity Period: | N/A |
| Related Certifications: | Microsoft Certified: Azure Data Fundamentals |
| Real Exam Qty: | 40-60 |
| Exam Duration: | 65 minutes |
| Sample Questions: | Microsoft DP-900 Deutsch Sample Questions |
| Exam Way: | Pearson VUE |
| Pre Condition: | There are no prerequisites for this exam. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900 |
More about DP-900 Exam
In brief, DP-900 test focuses on exam objectives like interacting with relational data on Azure, handling analytics workload on Azure, dealing with non-relational data on Azure, and knowing the central data concepts needed for Azure. The Microsoft DP-900 test, in particular, is designed for those who just started to work with cloud-related data. Those planning to take DP-900 should already possess basic knowledge of the main data-related concepts and understand how those concepts can be deployed with the help of Microsoft Azure data services. Also, candidates for DP-900 should be no strangers to analytical data workloads, transactional data workloads, non-relational data, and relational data. When it comes to the exam details, there are no mandatory prerequisites needed for DP-900. The signup cost of this fundamental-level exam is USD 99, plus it is administered around the globe in countless tongues like Spanish, French, German, Korean, Chinese, Japanese, and English. To know more, DP-900 is conducted at nearby exam centers or on the web in a supervised setting. As it was claimed above, passing this single exam means candidates will be awarded the Microsoft Certified: Azure Data Fundamentals validation, which is renewable. After attaining this certificate, learners can chase higher-level Microsoft certifications in the future like the Microsoft Certified: Azure Data Engineer Associate or the Microsoft Certified: Azure Database Administrator Associate.
Explain the Techniques Involved in Working with Relational Data on Microsoft Azure: 25-30%
- Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
- Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.
- Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
- Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe an analytics workload on Azure | 25-30% | - Describe data visualization in Microsoft Power BI
|
| Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational Azure data services
|
| Identify considerations for relational data on Azure | 20-25% | - Describe relational Azure data services
|
By Charles
