Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide. Build a solid foundation in Azure cloud data services and pass the DP-900 on your first try - Helion
Tytuł oryginału: Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide. Build a solid foundation in Azure cloud data services and pass the DP-900 on your first try
ISBN: 9781836208143
Format: ebook
Data wydania: 2024-10-01
Księgarnia: Helion
Cena książki: 98,10 zł (poprzednio: 109,00 zł)
Oszczędzasz: 10% (-10,90 zł)
Microsoft's Azure Data Fundamentals (DP-900) certification exam offers a solid foundation in core data concepts and the data services capabilities of Azure. Whether you're from a technical or non-technical background, this exam is your gateway to a future shaped by data and AI.
With the help of relevant examples, you'll learn fundamental data concepts such as ways data is represented, data storage options, common data workloads as well as identifying roles and responsibilities of data persona’s such as data administrators, engineers and analysts. As you progress, you'll delve into the important domains of the exam, including describing the data services capabilities of the Azure cloud platform, and identifying considerations for relational, non-relational, analytics workloads, both Microsoft and open source.
In addition to thorough exam preparation, this book gives you access to a suite of online exam prep resources designed to boost your confidence. Unlock a comprehensive set of tools, including mock exams, interactive flashcards, and invaluable exam tips, all tailored to ensure you’re fully equipped for success on exam day.
By the end of this book, you’ll be equipped to work with AI solutions in Azure and be well-prepared to pass the AI-900 exam.
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Spis treści
Microsoft Certified Azure Data Fundamentals (DP-900) Exam Guide. Build a solid foundation in Azure data services and pass the DP-900 exam on your first try eBook -- spis treści
- 1. Describe Core Data Concepts
- 2. Describe Relational Concepts
- 3. Describe Relational Azure Data Services
- 4. Describe the Capabilities of Azure Storage
- 5. Describe the Capabilities and Features of Azure Cosmos DB
- 6. Describe the Common Elements of Large-Scale Analytics
- 7. Describe Consideration for Real-Time Data Analytics
- 8. Describe Data Visualization in Microsoft BI