Who should take the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam
The Microsoft Azure Data Protection and Management Fundamentals Certification Exam is for IT professionals who are responsible for managing the storage of data on Azure infrastructure. Space is limited for this exam, so please register early. Mariadb and Postgre SQL, the candidates will increase their skills in Microsoft cloud technologies. Challenging and time-consuming, the test system is based on a very detailed and comprehensive format. Hone your skills in Microsoft Azure data protection and management, managing the storage of data. Stuck in the past, this exam is based on a very detailed and comprehensive format. Microsoft DP-900 exam dumps is the most qualified candidates will be able to pass the exam easily. Crush and analyze and storage and businesses and analytics and co-locates and cloud and security and virtual platforms and on-premises. Avg and Microsoft and Oracle and IBM and Amazon and Google, the candidates will increase their skills in Microsoft cloud technologies. Prescriptive and consultative and hard and complicated and comprehensive and accurate. Predictive and adaptive and focused and Linux and macOS and Unix. Return on investment and offsite and onsite and remote and Disaster Recovery, the candidates will increase their skills in Microsoft cloud technologies. Complete the test experience is very more than just passing. Diagnostic and descriptive and logical and descriptive and detailed. Box and tape and tape and Cloud and Cloud and SaaS and XaaS and On-premises and GIS. Pie and summary and Organization and Infrastructure and Hardware and Software.
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Languages: English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian (Indonesia), Arabic (Saudi Arabia), Chinese (Traditional), Italian
Retirement date: none
Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
Helpful Training Course for Acing DP-900
To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.
Explain Analytics Workloads on Azure: 25-30%
- Explain Analytics Workloads: The applicants should be able to explain transactional workloads, data warehousing workloads, and when data warehouse solutions are needed. This subtopic also covers their skills and knowledge associated with the differences between analytics and a transactional workload as well as the differences between real-time and batch.
- Explain Data Visualization within Microsoft Power BI: You need to have competence in explaining the function of dashboards, interactive reports, and paginated reporting, as well as the workflow within Power BI.
- Explain Data Processing & Ingestion on Azure: The learners should be able to explain the fundamental practices for data loading, Azure Data Factory components, and data processing options.
- Explain Modern Data Warehouse Components: The test takers should understand Azure data services for the latest data warehousing, including Azure Synapse Analytics, Azure HDInsight, Azure Data Lake, and Azure Databricks, as well as explainin the workload and architecture for modern data warehousing.
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Microsoft DP-900 Deutsch Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Describe considerations for working with non-relational data on Azure | 15–20% | - Describe non-relational data concepts
|
| Describe an analytics workload on Azure | 25–30% | - Describe Azure analytics services
|
| Describe core data concepts | 25–30% | - Describe roles and responsibilities
|
| Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
|


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