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 Batch

Azure Batch is a service that helps developers scale their workloads over virtual machines (Windows or Linux) or containers, without the need to manage the infrastructure. With Azure Batch, you can run large-scale, parallel and HPC applications efficiently in the cloud. Batch computing is most commonly used for applications that regularly process, transform, or analyze large volumes of data. Typically, HPC applications that run on Azure Batch include deep learning applications, image rendering applications, media encoding applications, and Monte Carlo simulations. Azure Media Services uses Azure Batch internally for media encoding as well.

The Azure Batch service uses Azure compute as its infrastructure, which means you can use both Windows or Linux VMs to host your applications or workloads. Azure uses the A8/A9 series VMs with RDMA networking internally for the nodes...