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Our Microsoft Azure Data Fundamentals (DP-900 Korean Version) Preparation Material provides you everything you will need to take a Microsoft Microsoft Certified: Azure Data Fundamentals DP-900 Korean examination. Details are researched and produced by Microsoft Certification Experts who are constantly using industry experience to produce precise, and logical.

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Prove that you can describe the following: core data concepts; how to work with relational data on Azure; how to work with non-relational data on Azure; and an analytics workload on Azure.

Exam Details

The Microsoft DP-900 exam has the following features:

  • The registration for the test is done at Pearson VUE for non-students who are interested in technology and via Certiport for students or instructors.
  • The number of questions is not disclosed but you should expect 40-60 items
  • It costs $99. As for the job seekers impacted by the pandemic (COVID -19), they can schedule their exam for just $15.

Upon passing DP-900, you will earn the Microsoft Certified: Azure Data Fundamentals. It showcases that you have the foundational knowledge on core data concepts and how they can be implemented using Microsoft Azure. Note that Microsoft DP-900 will be updated on January 27, 2021.

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

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

  • Explain the Concepts of Relational Data Workloads: The examinees should be able to explain the structures of relational data and identify the appropriate data for relational workloads.
  • Identify the Fundamental Management Tasks for Relational Data: The applicants should be able to explain the deployment and provisioning of relational data services. They also need to understand the techniques for deployment, such as Azure Resource Manager templates, Azure portal, Azure CLI, and Azure PowerShell. In addition, the students should be able to identify the fundamental connectivity issues and components of data security.
  • Explain Relational Azure Data Services: The individuals should have the ability to explain and compare SaaS, PaaS, and IaaS solutions as well as Azure Synapse Analytics. They also need the knowledge of Azure SQL database services, Azure Database for PostgreSQL, Azure Database for MySQL, and Azure Database for MariaDB.
  • Explain the Query Methods for Data with the SQL Language: The learners should be capable of comparing the Data Manipulation Language with the Data Definition Language. They should also be able to query relational data within Azure Database for MySQL, Azure SQL Database, and Azure Database for PostgreSQL.

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

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