Prepare for Microsoft Exam DP-600 and demonstrate your real-world mastery of Microsoft Fabric analytics solution development. Designed for working Fabric analytics engineers, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Solutions Associate level.
Focus on the expertise measured by these objectives:
This Microsoft Exam Ref:
About the Exam
Exam DP-600 focuses on knowledge needed to implement and plan a data analytics environment; manage an analytics development lifecycle; create objects in a lakehouse or warehouse; copy data, transform data, and optimize performance; implement, design, and build semantic models; optimize enterprise-scale semantic models; perform exploratory analytics; query data by using SQL.
About Microsoft Certification
Passing this exam fulfills your requirements for Microsoft Certified: Fabric Analytics Engineer Associate credential, demonstrating your readiness to design, build, test, and maintain Microsoft Fabric data analytics solutions, and partner with other professionals and clients to implement them.
See full details at: microsoft.com/learn
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Daniil Maslyuk is an independent business intelligence consultant, trainer, and speaker who specializes in Microsoft Power BI. Daniil blogs at xxlbi.com and tweets as @DMaslyuk.
Johnny Winter is a data and analytics consultant who has been working with business intelligence software since 2007, specializing in the Microsoft data platform since 2016. He’s a self-confessed business intelligence geek, and in his spare time runs the website and YouTube channel Greyskull Analytics, where he likes to nerd out about all things analytics.
Štěpán Rešl is a lead technical consultant and a Microsoft MVP in the Data Platform category. As a technical consultant, Štěpán focuses on assisting medium and large organizations in deploying and maintaining their data solutions. He is also a speaker and co-organizer of conferences. In his spare time, he runs a blog called DataMeerkat, where he focuses on topics related to data analytics.
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