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Microsoft Azure Data Fundamentals Exam Certification Details:

Sample QuestionsMicrosoft Azure Data Fundamentals Sample Questions
Schedule ExamPearson VUE
Number of Questions40-60
Duration60 mins
Exam CodeDP-900
Books / TrainingDP-900T00-A: Microsoft Azure Data Fundamentals
Exam NameMicrosoft Certified - Azure Data Fundamentals
Passing Score700 / 1000
Exam Price$99 (USD)

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

What is the duration, language, and format of Microsoft DP-900: Microsoft Azure Data Fundamentals Exam

  • Language: English
  • Type of Questions: This test format is multiple choice.
  • This is the beta exam, would be available on or around March 31, 2020.
  • Number of Questions: 40 to 60 questions (Since Microsoft does not publish this information, the number of exam questions may change without notice.)
  • Length of Examination: 50 mins
  • Passing score: 700 / 1000

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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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Microsoft DP-900 Korean Exam Syllabus Topics:

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

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