Exam Ref Dp-900 Microsoft Azure Data Fundamentals (考試參考:DP-900 微軟 Azure 數據基礎知識)
Farquharson, Nicola
- 出版商: MicroSoft
- 出版日期: 2024-04-19
- 售價: $1,740
- 貴賓價: 9.5 折 $1,653
- 語言: 英文
- 頁數: 176
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0138261903
- ISBN-13: 9780138261900
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相關分類:
Microsoft Azure
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商品描述
Prepare for Microsoft Exam DP-900 and demonstrate your real-world foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Fundamentals level.
Focus on the expertise measured by these objectives:
- Describe core data concepts within Microsoft Azure
- Describe how to work with both relational and non-relational data types on Azure
- Describe strategic application, data management, storage and processing in the Azure cloud environment
- Describe an analytics workload on Azure
This Microsoft Exam Ref:
- Organizes its coverage by the Skills Measured list published for the exam
- 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 a general grasp of cloud concepts
商品描述(中文翻譯)
準備參加微軟 DP-900 考試,展示您在核心數據概念及其在 Microsoft Azure 數據服務中的實施方面的真實世界基礎知識。這本《考試參考書》專為商業用戶、功能顧問和其他專業人士設計,重點關注在 Microsoft Certified: Azure Data Fundamentals 級別取得成功所需的批判性思維和決策能力。
專注於這些目標所衡量的專業知識:
- 描述 Microsoft Azure 中的核心數據概念
- 描述如何在 Azure 上處理關聯和非關聯數據類型
- 描述 Azure 雲環境中的戰略應用、數據管理、存儲和處理
- 描述在 Azure 上的分析工作負載
這本微軟《考試參考書》:
- 根據考試所公布的技能清單組織其內容
- 提供戰略性的假設情境來挑戰您
- 假設您具備核心數據概念及其在 Microsoft Azure 數據服務中的實施方面的基礎知識,以及對雲概念的一般理解。
作者簡介
NICOLA FARQUHARSON has more than two decades of experience in networking infrastructure and Microsoft technologies, such as artificial intelligence, Microsoft SQL, Microsoft Power BI, data science, Dynamics 365, machine learning, Microsoft Azure, and Azure DevOps. Her extensive background in these technologies ensures a deep and comprehensive coverage of the key concepts necessary for the Microsoft DP-900 certification exam.
Her career journey includes roles as a Microsoft technical trainer and professor, focusing on data, machine learning, and artificial intelligence. These roles have equipped Nicola with valuable insights into the skills and knowledge required in these rapidly advancing fields. Her experience as a cybersecurity/infrastructure senior analyst and IT consultant has also given her a profound understanding of data security and risk management, vital elements in contemporary data management.
Nicola's dedication to professional growth is reflected in her acquisition of multiple Microsoft technology certifications, including Microsoft AI Engineer, Microsoft Data Engineer, Microsoft DevOps Engineer Expert, Microsoft Teams Administrator Associate, Azure Security Engineer Associate, Microsoft 365 Enterprise Administrator, and Microsoft Cloud Solution Expert. These qualifications underscore her commitment to staying updated with the latest technological advancements. This second edition of Exam Ref DP-900 Microsoft Azure Data Fundamentals aims to provide readers with a thorough understanding of Azure data fundamentals, preparing them for the DP-900 exam and enhancing their career prospects in the fields of cloud and data technologies.
作者簡介(中文翻譯)
NICOLA FARQUHARSON在網絡基礎設施和Microsoft技術方面擁有超過二十年的經驗,包括人工智能、Microsoft SQL、Microsoft Power BI、數據科學、Dynamics 365、機器學習、Microsoft Azure和Azure DevOps等。她在這些技術領域的廣泛背景確保了對Microsoft DP-900認證考試所需的關鍵概念的深入和全面的覆蓋。
她的職業生涯包括擔任Microsoft技術培訓師和教授,專注於數據、機器學習和人工智能。這些角色使Nicola獲得了對這些快速發展領域所需的技能和知識的寶貴見解。她作為一名網絡安全/基礎設施高級分析師和IT顧問的經驗也使她對數據安全和風險管理有深刻的理解,這是當代數據管理中至關重要的要素。
Nicola對專業成長的奉獻精神體現在她獲得多個Microsoft技術認證,包括Microsoft AI工程師、Microsoft數據工程師、Microsoft DevOps工程師專家、Microsoft Teams管理員副專業人員、Azure安全工程師副專業人員、Microsoft 365企業管理員和Microsoft雲解決方案專家。這些資格證明了她致力於與最新技術進展保持同步的承諾。《Exam Ref DP-900 Microsoft Azure數據基礎》的第二版旨在為讀者提供對Azure數據基礎的全面理解,為他們準備DP-900考試,並提升他們在雲和數據技術領域的職業前景。