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Microsoft DP-900 pass test : Microsoft Azure Data Fundamentals

DP-900 actual test
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Updated: Aug 14, 2026
  • Q & A: 332 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About Microsoft DP-900 Exam

General Overview of Microsoft DP-900 Exam

The Microsoft DP-900 exam evaluates the individuals’ understanding of core data concepts, analytics workloads on Azure, as well as how to function with relational and non-relational data within Azure. The test contains 40-60 questions and the applicants have 90 minutes for the completion. The students or instructors who want to take this exam are required to schedule it through Certiport while the non-students are to schedule the test with Pearson VUE. The fee for the exam is $99 and it is available in a range of languages, including English, Spanish, French, Korean, German, Japanese, and Simplified Chinese.

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

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Preparation Process for Microsoft DP-900 Exam

The learners can use different training options that Microsoft offers to prepare for the DP-900 test. The first step in your preparation process is to go over the exam objectives in detail. They can be found on the official website. The resources to help understand these topics are also available on the vendor’s webpage. Microsoft comes with a paid instructor-led training as well as free learning paths as the best prep options for your certification test.

  • Instructor-Led Training

    This is a paid training course that is available in-classroom or as virtual classes. The Microsoft Azure Data Fundamentals course is designed to teach the candidates the fundamentals of the concepts of database in the Cloud environments. The students will be equipped with the basic skills in the domain of Cloud data services. They will also be able to develop foundational knowledge and skills in Cloud data services within Microsoft Azure.

  • Practice Test

    The official practice test is also available to help the examinees gain confidence in their test-taking skills. The candidates can use it to evaluate their readiness for the real exam. They can also get familiar with the pattern of the test and develop competence in answering the exam questions. The official practice test can be found on the Microsoft website.

  • Study Guide

    The Exam Ref DP-900: Microsoft Azure Data Fundamentals book is another good resource for preparation. Authored by Daniel A. Seara, Francesco Milano, this study guide covers the in-depth analysis of the topics and offers some practical skills that will help you take the test. The book also comes with the sample exam questions to help you ace your test.

  • Online Learning Paths

    This option of learning is free and made up of seven paths with different modules for each. The candidates for this option are those with the ability to study on their own. The self-paced learning paths offer a comprehensive outline and lessons on the topics of the exam.

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Career Prospects

  • Systems Administrator – as a sysadmin, you will be tasked with providing hands-on support when it comes to system maintenance, operation and administration. You will also be the person concerned in making recommendation of an appropriate software to be deployed. The average salary is estimated to be $63k.
  • Systems Engineer – this role will keep you engaged in the design and the development of the cloud solutions that are appropriate to the business at hand. These professionals also analyze both the system and software requirements before giving design guidelines. This role is estimated to earn you an average salary of $81k per annum, as per PayScale.
  • Cloud Solutions Analyst – an early career as cloud solutions analyst or architect is quite lucrative. You can earn up to an average salary of $80k annually with even less than 1 year of working experience in this role. Once you develop in this job, the salary may rise up to the average of $126k per annum. Although the role is so much demanding, you should be ready to do proper evaluation and performance testing of a cloud solution before integration. The main task of these specialists is to ensure that the performance of the system is optimized.

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 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe considerations for working with non-relational data on Azure15–20%- Describe non-relational data concepts
  • 1. Characteristics of NoSQL data
    • 2. Use cases for non-relational data
      - Describe Azure Cosmos DB
      • 1. APIs and data models
        • 2. Consistency levels and partitioning
          • 3. Capabilities and features
            - Describe Azure storage services
            • 1. File Storage
              • 2. Blob Storage
                • 3. Table Storage
                  • 4. Queue Storage
                    Topic 2: Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                    • 1. Azure SQL Database
                      • 2. SQL Server on Azure Virtual Machines
                        • 3. Open-source databases: PostgreSQL, MySQL, MariaDB
                          • 4. Azure SQL Managed Instance
                            - Describe relational data concepts
                            • 1. Query data with SQL
                              • 2. Relationships, keys, constraints
                                • 3. Normalization
                                  Topic 3: Describe core data concepts25–30%- Describe types of data
                                  • 1. Structured, semi-structured, and unstructured data
                                    • 2. File formats
                                      - Describe data workloads
                                      • 1. Batch and streaming data
                                        • 2. Analytical workloads
                                          • 3. Transactional workloads
                                            - Describe roles and responsibilities
                                            • 1. Data engineer, data analyst, database administrator
                                              Topic 4: Describe an analytics workload on Azure25–30%- Describe big data and analytics concepts
                                              • 1. Data ingestion and processing
                                                • 2. Modern data warehouse architecture
                                                  • 3. Data lakes and data warehouses
                                                    - Describe Azure analytics services
                                                    • 1. Azure Synapse Analytics
                                                      • 2. Azure Data Lake Storage Gen2
                                                        • 3. Azure Databricks
                                                          • 4. Microsoft Fabric
                                                            • 5. Azure HDInsight
                                                              - Describe data visualization
                                                              • 1. Power BI capabilities
                                                                • 2. Data models and reports
                                                                  - Describe real-time analytics
                                                                  • 1. Azure Stream Analytics
                                                                    • 2. Stream processing concepts

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