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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 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.
  • 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.

The benefit of obtaining the Microsoft DP-900: Microsoft Azure Data Fundamentals Exam Certification

The Microsoft DP-900: Microsoft Azure Data Fundamentals Exam is a valuable asset to networking professionals. With this certification, one will have the ability to get a job with the industry. The certification will provide work experience and skills that are directly related with the industry. Fields of work that require this certification are Business Intelligence and Data Warehousing. Life of a certified individual is filled with great opportunities and success if the individual is talented and passionate. Flow of work for this certification is continuous and increasing. Beginner and experienced persons can get jobs and skill development through this certification. Covering this certification will enhance knowledge and understanding of Business Intelligence and Data Warehousing. Explorer and quick learner can also take the benefit of this certification. Email, instant messaging, chat and news details will be helpful in this certification. Scenario based questions are also beneficial in this certificate. Computers and emailing and social media and internet applications will be useful in this certification. Code lines and QR code and data tables will be helpful in this certification. Desktop and laptops and monitors and tablets and projectors will be helpful in this certification. Microsoft DP-900 exam dumps can help you pass exam in first try. Template questions will help you cover most of the exam area. Computer and devices and devices and servers, they help you memorize the most important concepts in the exam. Ssms and docs and spms and email, they help you understand the online learning portal. Testing and assessment and practice questions, they help you learn the most important material to study. Paginated and dynamic and interactive and live, they are the best practice guides to learn for the exam. Bar and charts and tables and flowcharts, they help you understand the concepts in the best possible manner. Objectives and scenarios and results and prerequisites, they help you learn the concepts deeply.

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The Microsoft DP-900 exam is intended for candidates who already have foundational knowledge and skills in performing basic tasks and using Microsoft Azure data services. It is also recommended for those who are starting their careers in the field of cloud data. Although there are no strict prerequisites, every individual who desires to take DP-900 test should have familiarity with non-relational and relational data as well as various types of data workloads such as analytical and transactional.

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

Exam Register Link: https://examregistration.microsoft.com/?locale=en-us&examcode=DP-900&examname=Exam%20DP-900:%20Microsoft%20Azure%20Data%20Fundamentals&returnToLearningUrl=https%3A%2F%2Fdocs.microsoft.com%2Flearn%2Fcertifications%2Fexams%2Fdp-900

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

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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