Title: Overall, a useful book for helping you understand the exam’s topics.
Content: Conclusion This book aims to introduce Azure data services and their use with different types of data and workloads, and mostly succeeds. The book is generally easy to read, with useful discussions, diagrams, tables, and helpful exam tips throughout. There’s a good flow between the topics. The chapter summaries are very useful. The book covers the exam syllabus, giving suitable examples for each subtopic. However, this is a big topic, especially when considering the non-relational systems – here only a glancing introduction can be provided. Luckily, links are provided for further information. While the book is ‘introductory’, it covers a wide area of differing technologies. The more you already know about the topics (e.g. Big Data) the easier it is to understand the book. It might be argued that some of the chapters assume too much prior knowledge, for example there’s an implied understanding that you’re aware of Spark, Hadoop, subnets etc. Will the book help you pass the exam? Well, it does cover all the expected topics, however I think you will need to explore the included links, and gain some practical experience, to pass the exam. If you visit Microsoft's Virtual Training Days and register to watch the free Data Fundamentals course, a few days after completing it, you’ll get a voucher to take this exam for free. Additionally, there is a free online course provided by Microsoft. My top tip for the exam, if you see a question about graph databases, think Gremlin API. Overall, a useful book for helping you understand the exam’s topics.