Microsoft DP-900 Korean dumps - in .pdf

DP-900 Korean pdf
  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 12, 2026
  • Q & A: 332 Questions and Answers
  • PDF Price: $69.99
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  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 12, 2026
  • Q & A: 332 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $139.98  $89.99
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Microsoft DP-900 Korean dumps - Testing Engine

DP-900 Korean Testing Engine
  • Exam Code: DP-900 Korean
  • Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
  • Updated: Aug 12, 2026
  • Q & A: 332 Questions and Answers
  • Software Price: $69.99
  • Testing Engine

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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.

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

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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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