Microsoft DP-900-KR Questions & Answers - in .pdf
- Total Q&A: 320
- Update: Aug 06, 2026
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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
- Total Q&A: 320
- Update: Aug 06, 2026
- Price: $69.99
- Vendor: Microsoft
- Exam Code: DP-900-KR
- Exam Name: Microsoft Azure Data Fundamentals (DP-900 Korean Version)
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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 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 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 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.
- 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.
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
- England - 60,532 POUNDS
- Europe - 60,547 EURO
- United States - 80,000 USD
- India - 12,10,327 INR
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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.
Helpful Training Course for Acing DP-900
To help students get fully ready for DP-900, Microsoft has created an official 1-day teacher-guided program for students named ‘Course DP-900T00-A: Microsoft Azure Data Fundamentals’. There are 4 modules in this course which will address all the topics needed for the Microsoft DP-900. However, such a class does not have any related lab exercises, meaning students will not get the scope for applying the things they have learnt in theory. In general, this training is perfect for those who want to learn the main concepts and skills needed to provide cloud data services with the help of Microsoft Azure.
Microsoft DP-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Describe core data concepts | 25–30% | - Describe types of data
- 1. File formats
- 2. Structured, semi-structured, and unstructured data
- Describe data workloads
- 1. Batch and streaming data
- 2. Transactional workloads
- 3. Analytical workloads
- Describe roles and responsibilities
- 1. Data engineer, data analyst, database administrator
|
| Describe considerations for working with non-relational data on Azure | 15–20% | - 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 Azure storage services
- 1. Table Storage
- 2. Queue Storage
- 3. File Storage
- 4. Blob Storage
|
| Identify considerations for relational data on Azure | 20–25% | - Describe relational data concepts
- 1. Normalization
- 2. Relationships, keys, constraints
- 3. Query data with SQL
- 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 an analytics workload on Azure | 25–30% | - Describe real-time analytics
- 1. Azure Stream Analytics
- 2. Stream processing concepts
- Describe big data and analytics concepts
- 1. Data lakes and data warehouses
- 2. Modern data warehouse architecture
- 3. Data ingestion and processing
- Describe data visualization
- 1. Data models and reports
- 2. Power BI capabilities
- Describe Azure analytics services
- 1. Azure Databricks
- 2. Azure Synapse Analytics
- 3. Azure Data Lake Storage Gen2
- 4. Azure HDInsight
- 5. Microsoft Fabric
|
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