Exam Ref DP-900 Microsoft Azure Data Fundamentals
- Describing core data concepts
- Describing how to work with relational data on Azure
- Describing how to work with non-relational data on Azure
- Describing analytics workloads on Azure
- Provide guidance from Microsoft, the creator of Microsoft certification exams
- Target professional-level exam candidates with content focused on their needs, not "one-size-fits-all" content
- Streamline study by organizing material according to the exam's objective domain (OD), covering one functional group and its objectives in each chapter
- Feature Thought Experiments to guide candidates through a set of "what if?" scenarios, and prepare them more effectively for Pro-level style exam questions
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Produktdetails
Artikelbeschreibung
Focus on the expertise measured by these objectives:
- Describe core data concepts
- Describe how to work with relational data on Azure
- Describe how to work with non-relational data on Azure
- Describe an analytics workload on Azure
This Microsoft Exam Ref:
- Organizes its coverage by exam objectives
- Features strategic, what-if scenarios to challenge you
- Assumes you have foundational knowledge of core data concepts and their implementation with Microsoft Azure data services, and are beginning to work with data in the cloud
About the Exam
Exam DP-900 focuses on core knowledge for describing fundamental database concepts and skills for cloud environments; cloud data services within Azure; cloud data roles, tasks, and responsibilities; Azure relational and non-relational data offerings, provisioning, and deployment; querying Azure relational databases; working with Azure non-relational data stores; building modern Azure data analytics solutions; and exploring Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure HDInsight.
About Microsoft Certification
Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Fundamentals certification, demonstrating your understanding of the core capabilities of Azure data services and their use with relational data, non-relational data, and analytics workloads.
See full details at:
www.microsoft.com/learn
