Book Image

Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond

By : Brett Hargreaves
Book Image

Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond

By: Brett Hargreaves

Overview of this book

The AZ-304 exam tests an architect's ability to design scalable, reliable, and secure solutions in Azure based on customer requirements. Exam Ref AZ-304 Microsoft Azure Architect Design Certification and Beyond offers complete, up-to-date coverage of the AZ-304 exam content to help you prepare for it confidently, pass the exam first time, and get ready for real-world challenges. This book will help you to investigate the need for good architectural practices and discover how they address common concerns for cloud-based solutions. You will work through the CloudStack, from identity and access through to infrastructure (IaaS), data, applications, and serverless (PaaS). As you make progress, you will delve into operations including monitoring, resilience, scalability, and disaster recovery. Finally, you'll gain a clear understanding of how these operations fit into the real world with the help of full scenario-based examples throughout the book. By the end of this Azure book, you'll have covered everything you need to pass the AZ-304 certification exam and have a handy desktop reference guide.
Table of Contents (30 chapters)
1
Section 1: Exploring Modern Architecture
4
Section 2: Identity and Security
9
Section 3: Infrastructure and Storage Components
14
Section 4: Applications and Databases
19
Section 5: Operations and Monitoring
23
Section 6: Beyond the Exam
26
Mock Exam
27
Mock Answers

Understanding data flows

Many organizations gather massive amounts of data and continue to amass data in many different forms from various systems. This data can be used to bring great value to a company.

One example may be an e-commerce company that collects sales and marketing data from its day-to-day operations. By analyzing the data, customer patterns could be ascertained, as well as the relative success of different advertising campaigns. This information could then be used to develop the company website to create a better customer journey or to identify the strongest performing marketing activities so that these can be honed while less effective ones are dropped.

Scientific organizations also make use of data to create better treatments, drugs, and methodologies.

Manufacturers can use data from internet of things (IoT) devices and sensors to optimize supply chains, increase operational efficiencies, or identify risks in products or processes.

Data sources include sales...