Microsoft DP-900 dumps - in .pdf

DP-900 pdf
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Q & A: 320 Questions and Answers
  • PDF Price: $59.99

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  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Q & A: 320 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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Microsoft DP-900 dumps - Testing Engine

DP-900 Testing Engine
  • Exam Code: DP-900
  • Exam Name: Microsoft Azure Data Fundamentals
  • Q & A: 320 Questions and Answers
  • Software Price: $59.99
  • Testing Engine

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Free Download DP-900 exam braindumps

To prepare for the DP-900 certification exam, Microsoft offers a range of training materials including self-paced online courses, instructor-led training, and hands-on labs. These resources are designed to help individuals gain a comprehensive understanding of the core data concepts covered in the exam and to provide hands-on experience with Azure data services.

Microsoft DP-900 Exam is a great way to demonstrate your knowledge of cloud-based data solutions. Microsoft Azure Data Fundamentals certification will help you stand out from other candidates when applying for jobs in the data management or data analytics fields. It also provides a solid foundation for anyone who is looking to pursue more advanced certifications in Azure data services, such as the Microsoft Certified: Azure Data Engineer Associate certification.

Microsoft DP-900 (Microsoft Azure Data Fundamentals) Exam is a certification offered by Microsoft that focuses on testing the fundamental knowledge of data management and how it works in Microsoft Azure. It is an entry-level exam that is suitable for individuals who are new to the field of data management or want to get started with Microsoft Azure. The DP-900 exam is a great way to demonstrate your understanding of Azure data services and gain recognition for your skills.

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

Microsoft DP-900 Exam Syllabus Topics:

SectionWeightObjectives
Identify considerations for relational data on Azure20-25%- Describe relational Azure data services
  • 1. Describe Azure Database for PostgreSQL
  • 2. Describe Azure SQL Managed Instance
  • 3. Describe Azure SQL Database
  • 4. Describe Azure SQL family of products
  • 5. Describe SQL Server on Azure Virtual Machines
  • 6. Describe Azure Database for MariaDB
  • 7. Describe Azure Database for MySQL
- Describe relational concepts
  • 1. Describe normalization
  • 2. Identify features of relational data
Describe an analytics workload on Azure25-30%- Describe data visualization in Microsoft Power BI
  • 1. Describe Power BI tools and workflow
  • 2. Describe Power BI reports and dashboards
  • 3. Describe Power BI
- Describe analytics concepts
  • 1. Describe analytical workloads
  • 2. Describe ETL and ELT processes
  • 3. Describe data warehousing
  • 4. Describe transactional workloads
- Describe Azure data analytics services
  • 1. Describe Azure HDInsight
  • 2. Describe Microsoft Fabric
  • 3. Describe Azure Databricks
  • 4. Describe Azure Stream Analytics
  • 5. Describe Azure Data Factory
  • 6. Describe Azure Synapse Analytics
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 considerations for working with non-relational data on Azure15-20%- Describe non-relational Azure data services
  • 1. Describe Azure Cosmos DB
  • 2. Describe Azure File storage
  • 3. Describe Azure Table storage
  • 4. Describe Azure Blob storage
- Describe non-relational concepts
  • 1. Describe non-relational data offerings
  • 2. Identify non-relational data

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