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What job roles can you pursue after passing the Microsoft DP-900 exam?

Microsoft Certified: Azure Data Fundamentals is an entry-level certificate. However, the candidates who pass the prerequisite exam and obtain this certification can pursue a variety of rewarding job roles. These include an IT Administrator, a Desktop Engineer, a Windows Administrator, an Azure Security Engineer, an Azure Solutions Architect, an Azure Application Architect, a Technical Help Desk, and an IT Service Desk Analyst, among others. The salary outlook for these positions is an average of $56,000 per annum.

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

Exam DP-900: Microsoft Azure Data Fundamentals

Candidates for this exam should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services.

This exam is intended for candidates beginning to work with data in the cloud.

Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure Data Engineer Associate, but it’s not a prerequisite for any of them.

Part of the requirements for: Microsoft Certified: Azure Data Fundamentals

Download exam skills outline

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Microsoft DP-900日本語 Exam Syllabus Topics:

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

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