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Microsoft DP-900 Korean Exam Braindumps - in .pdf Free Demo

  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • , Last Updated: Sep 17, 2026
  • Q & A: 332 Questions and Answers
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Microsoft DP-900 Korean Exam Braindumps - Testing Engine PC Screenshot

  • Exam Code: DP-900-KR
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • , Last Updated: Sep 17, 2026
  • Q & A: 332 Questions and Answers
  • Uses the World Class DP-900 Korean Testing Engine. Free updates for one year. Real DP-900 Korean exam questions with answers. Install on multiple computers for self-paced, at-your-convenience training.
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Explain the Techniques Involved in Working with Non-Relational Data on Microsoft Azure: 25-30%

  • 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.
  • 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.

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

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How to Prepare For Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Preparation Guide for Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

Introduction

If you're looking to enter the IT world but don't have the education required, you may want to consider taking one of the many certification exams offered by respected tech companies. Microsoft offers a range of certifications, including those for developers. The DP-900 exam is one such exam. This article will help you prepare for this exam so that it will be successful and lead to your certification. Microsoft DP-900 exam dumps are one of the most popular resources for DP-900 exam preparation.

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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