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

Updated: Sep 02, 2026

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Microsoft DP-900 Korean Exam Overview:

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

The candidates for the Microsoft DP-900 test will be measured in a variety of technical skill areas. These domains are divided into several topics. It is recommended that the applicants review the exam topics in detail and choose the appropriate study materials to prepare for the test. Below are the highlights of the objectives covered in this certification exam:

  • Explain how Relational Data Works on Azure: 25-30%

    The test takers will be required to have the ability to describe some concepts in this topic, including relational data workloads and relational Azure data services. They will also need to know how to identify the basic management functions for relational data. Additionally, they need to possess a good understanding of how to use the SQL language to describe the query methods for data.

  • Explain the Concepts of Core Data: 15-20%

    Within this subject area, the students should be able to explain different categories of core data workloads that are available. To answer questions from this subtopic, the examinees should be able to explain batch data and streaming data. They should also know the attributes of relational data and core differences between streaming and batch data. It also covers their skills in core concepts of data analytics. This requires an understanding of data visualization, basic chart types, analytics techniques, data processing concepts, as well as ETL & ELT processing.

  • Explain Analytics Workloads on Azure: 25-30%

    This domain of the DP-900 exam measures one’s knowledge of analytics workloads, data processing, and ingestion on Azure, as well as the elements of modern data warehouses. The candidates will also be tested on their understanding of data visualization within Microsoft Power BI. This involves describing the specific role of dashboards, paginated reporting, interactive reports, and workflows in Power BI.

  • Explain how Non-Relational Data Works on Azure: 25-30%

    The questions from this section will evaluate the understanding of the candidates in non-relational data workloads as well as non-relational data contributions on Azure. They must be able to explain Azure File storage, Azure Cosmos DB APIs, Azure Blob Storage, and Azure Table storage. They should also be able to identify the foundational management tasks for non-relational data.

What job roles can you pursue after passing the Microsoft DP-900 exam?

Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.

Career Prospects

  • 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.
  • 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.

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

Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Professional salary

The average salary of a Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certified Expert in

  • India - 12,10,327 INR
  • England - 60,532 POUNDS
  • United States - 80,000 USD
  • Europe - 60,547 EURO

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Describe an analytics workload on Azure25-30%- Describe analytics concepts
  • 1. Describe data warehousing
  • 2. Describe ETL and ELT processes
  • 3. Describe transactional workloads
  • 4. Describe analytical workloads
- 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
- 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
Topic 2: Identify considerations for relational data on Azure20-25%- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
- Describe relational Azure data services
  • 1. Describe Azure SQL Database
  • 2. Describe Azure SQL family of products
  • 3. Describe Azure Database for MariaDB
  • 4. Describe Azure Database for MySQL
  • 5. Describe SQL Server on Azure Virtual Machines
  • 6. Describe Azure SQL Managed Instance
  • 7. Describe Azure Database for PostgreSQL
Topic 3: Describe considerations for working with non-relational data on Azure15-20%- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data
- 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
Topic 4: Describe core data concepts25-30%- Identify options for data storage
  • 1. Describe common formats for data files
  • 2. Describe types of databases
- Describe ways to represent data
  • 1. Describe features of structured data
  • 2. Describe features of semi-structured data
  • 3. Describe features of unstructured data

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