Book Image

Architecting Microsoft Azure Solutions - Exam Guide 70-535

By : Sjoukje Zaal
Book Image

Architecting Microsoft Azure Solutions - Exam Guide 70-535

By: Sjoukje Zaal

Overview of this book

Architecting Microsoft Azure Solutions: Exam Guide 70-535 will get Azure architects and developers up-to-date with the latest updates on Azure from an architecture and design perspective. The book includes all the topics that are still relevant from the previous 70-534 exam, and is updated with latest topics covered, including Artificial Intelligence, IoT, and architecture styles. This exam guide is divided into six parts, where the first part will give you a good understanding of how to design a compute infrastructure. It also dives into designing networking and data implementations. You will learn about designing solutions for Platform Service and operations. Next, you will be able to secure your resources and data, as well as design a mechanism for governance and policies. You will also understand the objective of designing solutions for Platform Services, by covering Artificial Intelligence, IoT, media services, and messaging solution concepts. Finally, you will cover the designing for operations objective. This objective covers application and platform monitoring, as well as designing alerting strategies and operations automation strategies. By the end of the book, you’ll have met all of the exam objectives, and will have all the information you need to ace the 70-535 exam. You will also have become an expert in designing solutions on Microsoft Azure.
Table of Contents (20 chapters)
Appendix A – Assessments
Appendix B – Mock Test Questions
Appendix C – Mock Test Answers

Azure Analysis Services

Azure Analysis Services use the same architecture that SQL Server Analysis uses, and provides enterprise-grade data modeling in the cloud.

You can easily create a hybrid environment by connecting Azure Analysis Services with your on-premises SQL Analysis Servers. Data from various sources, such as SQL Server Analysis, SQL Server, Azure SQL Server, and more, can then easily be combined. Inside Azure Analysis Services, the models can be processed much faster when compared to on-premises environments. This way, client applications such as Power BI, Excel, Reporting Services, and other third-party applications, can query the data and deliver dashboards much faster:

Azure Analysis Services