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Microsoft DP-900-KR Questions & Answers - in .pdf

DP-900-KR pdf
  • Total Q&A: 332
  • Update: Aug 24, 2026
  • Price: $69.99
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  • Vendor: Microsoft
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
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Microsoft DP-900-KR Q&A - Testing Engine

DP-900-KR Study Guide
  • Total Q&A: 332
  • Update: Aug 24, 2026
  • Price: $69.99
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  • Vendor: Microsoft
  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
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The Microsoft DP-900 test evaluates the ability of the candidates to execute specific technical tasks. The examinees must understand these areas before they take this test. The topics that this certification exam covers are as follows:

Explain the Concepts of Core Data: 15-20%

  • Explain Core Data Workloads Types: The test takers should be able to explain batch data, attributes of relational data, streaming data, and the differences between streaming and batch data.
  • Explain the Core Concepts of Data Analytics: The candidates need to be able to explain data visualization, analytics techniques, data processing concepts, ETL and ELT processing, as well as the basic types of charts, including pie charts and bar charts.

Microsoft Azure Data Fundamentals Exam Certification Details:

Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Duration60 mins
Number of Questions40-60
Exam CodeDP-900
Exam NameMicrosoft Certified - Azure Data Fundamentals
Exam Price$99 (USD)
Passing Score700 / 1000
Schedule ExamPearson VUE

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

Microsoft DP-900 Korean Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure Data Fundamentals
Exam Number:DP-900
Exam Format:Multiple choice, Multiple select, Drag-and-drop, Scenario-based questions
Exam Price:$99 USD
Exam Duration:60 minutes
Related Certifications:Azure Database Administrator Associate
Azure Data Engineer Associate
Azure Data Scientist Associate
Available Languages:English, Japanese, Chinese (Simplified), Korean, French, German, Spanish, Portuguese (Brazil), Russian, Indonesian, Arabic, Chinese (Traditional)
Certificate Validity Period:Lifetime
Real Exam Qty:40–60
Passing Score:700 / 1000
Recommended Training:DP-900T00: Microsoft Azure Data Fundamentals
Microsoft Learn Free Learning Path
Exam Registration:Certiport (for students/educators)
Pearson VUE
Sample Questions:Microsoft DP-900 Korean Sample Questions
Exam Way:Online proctored or onsite at authorized test centers
Pre Condition:No prerequisites required
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/dp-900

Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • Explain Offerings of Non-Relational Data on Azure: The individuals need to have competence in explaining Azure Table storage, Azure File storage, Azure data service for non-relational workloads, Azure Blob Storage, and Azure Cosmos DB APIs.
  • Identify the Fundamental Management Functions for Non-Relational Data: The examinees should have competence in explaining deployment and provisioning of non-relational data and the techniques for deployment. They also need the skills in identifying the components of data security, fundamental connectivity issues, and non-relational data management tools.
  • Explain Non-Relational Data Workloads: The candidates should be able to explain the attributes of non-relational data and types of NoSQL and non-relational data. They need to have expertise in recommending the appropriate data stores and establishing them to utilize non-relational data.

Microsoft DP-900 Korean Exam Syllabus Topics:

SectionWeightObjectives
Describe considerations for working with non-relational data on Azure15–20%- Describe Azure storage services
  • 1. Blob Storage
    • 2. File Storage
      • 3. Queue Storage
        • 4. Table Storage
          - Describe Azure Cosmos DB
          • 1. Capabilities and features
            • 2. APIs and data models
              • 3. Consistency levels and partitioning
                - Describe non-relational data concepts
                • 1. Use cases for non-relational data
                  • 2. Characteristics of NoSQL data
                    Describe an analytics workload on Azure25–30%- Describe data visualization
                    • 1. Power BI capabilities
                      • 2. Data models and reports
                        - Describe Azure analytics services
                        • 1. Azure HDInsight
                          • 2. Microsoft Fabric
                            • 3. Azure Databricks
                              • 4. Azure Data Lake Storage Gen2
                                • 5. Azure Synapse Analytics
                                  - Describe real-time analytics
                                  • 1. Stream processing concepts
                                    • 2. Azure Stream Analytics
                                      - Describe big data and analytics concepts
                                      • 1. Modern data warehouse architecture
                                        • 2. Data lakes and data warehouses
                                          • 3. Data ingestion and processing
                                            Identify considerations for relational data on Azure20–25%- Describe Azure relational data services
                                            • 1. SQL Server on Azure Virtual Machines
                                              • 2. Open-source databases: PostgreSQL, MySQL, MariaDB
                                                • 3. Azure SQL Database
                                                  • 4. Azure SQL Managed Instance
                                                    - Describe relational data concepts
                                                    • 1. Relationships, keys, constraints
                                                      • 2. Normalization
                                                        • 3. Query data with SQL
                                                          Describe core data concepts25–30%- Describe roles and responsibilities
                                                          • 1. Data engineer, data analyst, database administrator
                                                            - Describe data workloads
                                                            • 1. Transactional workloads
                                                              • 2. Analytical workloads
                                                                • 3. Batch and streaming data
                                                                  - Describe types of data
                                                                  • 1. File formats
                                                                    • 2. Structured, semi-structured, and unstructured data
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                                                                      DP-900-KR Related Exams
                                                                      DP-900-Deutsch - Microsoft Azure Data Fundamentals (DP-900 Deutsch Version)
                                                                      DP-900 - Microsoft Azure Data Fundamentals
                                                                      DP-900J - Microsoft Azure Data Fundamentals (DP-900日本語版)
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