Try and practice the latest Microsoft : DP-900 Deutsch real questions & answers

Updated: Sep 21, 2026

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How to operate with relational data on Azure

Here, the candidate should be equipped with knowledge and skills in the following sub domains:

  • Relational Azure data services – this section of the exam is focused on the following: the understanding of IaaS, SaaS and PaaS solutions and their comparison, Azure SQL DB services such as Azure SQL managed instance and Azure virtual machine, Azure Synapse Analytics, and Azure Database for MariaDB, PostgreSQL and for MySQL.
  • Data querying techniques that require utilizing SQL language – it deals with the Data Manipulation Language (DML) and Data Definition Language (DDL) as well as querying relational data on Azure SQL DB.
  • Identification of basic management roles for relational data – under this sub domain there are several skills covered that include the deployment and provisioning of relational data, various deployment methods such as Azure Resource Manager templates, Azure portal, Azure command-line interface (CLI), etc. Also, one should be knowledgeable in data components identification (authentication and firewall), the identification of basic connectivity problems such as accessing Azure VNets, firewalls, access from the internet and authentication). One more knowledge area involved is query tools (SQL Management Studio, Azure Data Studio, utility, sqlcmd etc.).
  • Relational data workloads – the candidate has to gain skills in identifying the appropriate data offerings when it comes to relational workload and learn more about structures of relational data.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900

Introduction to Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Microsoft Azure Data Fundamentals is an exam that identifies individuals who have the knowledge to work with Azure data storage features. Building on previous core principles of data management, Azure Data Fundamentals exam is designed to evaluate the ability of the candidate. Money designed to assess the skills level for both professionals and students. Determine the type of skills required for a particular situation, for example, a cloud administrator or a data analyst. Gen candidate will have to know the fundamentals of Data Management to work with Azure data storage, create tools to manage data, locate, protect and process it. Relevant topics in a data management environment, a certified candidate should understand. Dml, Db, protection tools through recovery, recovery strategies, documentation data management policies, data loss prevention tools to backup and recovery for backup recovery.

Microsoft DP-900 Deutsch Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Exam Format:Multiple-choice, Scenario-based
Available Languages:Chinese (Simplified), Chinese (Traditional), Spanish, Japanese, Italian, Korean, German, Arabic (Saudi Arabia), English, Indonesian (Indonesia), French, Portuguese (Brazil), Russian
Exam Price:USD 99
Exam Duration:65 minutes
Passing Score:700 / 1000
Real Exam Qty:40-60
Certificate Validity Period:N/A
Related Certifications:Microsoft Certified: Azure Data Fundamentals
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

Difficulty in Writing Microsoft DP-900:Microsoft Azure Data Fundamentals Exam

Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is not a very difficult certification exam. The general IT certification exams are harder to take than this exam. Helps one to get into IT field easily. Providing an opportunity to work with Microsoft Azure cloud solutions. Share or reuse data, information, services and applications between on-premises deployments and the cloud. Reach new heights with on-premises and cloud solutions. Microsoft Azure Data Fundamentals Certification Exam is looking for the candidates looking at Microsoft Azure certification. Remember, this certification has been developed by the Microsoft to provide job opportunities for you. Meaning, if you are ready to learn, you will definitely get the job. It is the most important exam for the professionals. The Microsoft DP-900 exam covers all about data engineering, development, security and management. Oltp is a vendor neutral exam. They have developed the 4 core knowledge areas i.e., data engineering, development, security and management. Tasks covered in the DP-900 exam including the designing and implementing secure data solutions, designing, organizing and analyzing data etc. Build infrastructure delivering advanced data solutions with advanced storage, processing, and analysis. Data Virtualization helps to abstract data in cloud-based infrastructure. Updated Microsoft DP-900 exam is a complete exam guide that helps you to build, implement and manage data solutions using the various components of Azure Data platform. Microsoft DP-900 exam dumps provide you 100% pass guarantee. Passing the DP-900 exam is not very difficult. DP-900 test questions are prepared by industry experts.

Territory and objective and outcomes and the exam will be a piece of cake. Data solutions using Azure Data platform components will be helpful in this certification. Offerings and services and features and solutions, they help you cover most of the exam area. Subjects and technology and analytics and infrastructure and infrastructure, As per your requirement, which helps you learn the concepts more effectively. Properties and features and security and management and design and administration, They help you understand the online learning portal. Future and skills and network and application and mapping, they help you learn the concepts in the best possible manner. Customer and requirements and data and insights and data and active, they help you learn as required. Certifications and skills and data and models, it helps you to get hands-on experience with the latest technologies. Incredible and support and learning and exam and learning, they help you learn the concepts in the best possible manner. Standards and terminology and concepts and framework, required to get certified.

Microsoft DP-900 Deutsch Exam Syllabus Topics:

SectionWeightObjectives
Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Cosmos DB
  • 2. Describe Azure File storage
  • 3. Describe Azure Blob storage
  • 4. Describe Azure Table storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
Describe core data concepts25-30%- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of unstructured data
  • 3. Describe features of semi-structured data
- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe transactional workloads
  • 2. Describe ETL and ELT processes
  • 3. Describe analytical workloads
  • 4. Describe data warehousing
- Describe Azure data analytics services
  • 1. Describe Azure Databricks
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Synapse Analytics
  • 4. Describe Azure HDInsight
  • 5. Describe Azure Stream Analytics
  • 6. Describe Azure Data Factory
- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI reports and dashboards
  • 2. Describe Power BI tools and workflow
  • 3. Describe Power BI
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for MySQL
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure SQL Database
  • 4. Describe Azure Database for MariaDB
  • 5. Describe Azure SQL family of products
  • 6. Describe Azure Database for PostgreSQL
  • 7. Describe SQL Server on Azure Virtual Machines
- Describe relational concepts
  • 1. Identify features of relational data
  • 2. Describe normalization

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