Topics Covered
Speaking of the exam content, it is divided into four parts. The first one refers to design identity, governance, and monitoring solutions. In this part, you should demonstrate your ability to create a solution for monitoring and logging, design authorization and authentication solutions. This implies that you are competent in designing a log routing solution, choosing the suitable level of logging, offering a solution for securing resources. In addition, your skills to design governance, identities, and access for apps will also be assessed.
The second part covers the design data storage solutions topic. Here, you should be able to create a data storage solution for relational data, offer a solution for data integration and analysis. In this domain, you should be competent in recommending a solution for different types of data, such as relational, semi-structured, and non-relational. For the latter one, you will need to design a data storage solution as well.
The third topic is all about designing business continuity solutions. In this part, you should know everything about recovery solutions and backup for compute, databases, and unstructured data. Then, you should show your skills in designing for HA, which implies offering a HA solution for compute, non-relational data storage, and relational data-storage.
The fourth topic focuses on design infrastructure solutions. The exam-takers are evaluated on their ability to create a compute solution and an app architecture. For that, they should be proficient in recommending virtual machine-based compute, container-based, and serverless-based compute solutions, recommending an event-driven or messaging architecture, offering a solution for API integration or an automated deployment solution. The candidates should also be capable of design migrations and network solutions.
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/az-305
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Microsoft AZ-305 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Design Identity, Governance, and Monitoring Solutions (25-30%) | |
| Design a solution for logging and monitoring | - design a log routing solution - recommend an appropriate level of logging - recommend monitoring tools for a solution |
| Design authentication and authorization solutions | - recommend a solution for securing resources with role-based access control - recommend an identity management solution - recommend a solution for securing identities |
| Design governance | - recommend an organizational and hierarchical structure for Azure resources - recommend a solution for enforcing and auditing compliance |
| Design identities and access for applications | - recommend solutions to allow applications to access Azure resources - recommend a solution that securely stores passwords and secrets - recommend a solution for integrating applications into Azure Active Directory (Azure AD) - recommend a user consent solution for applications |
Design Data Storage Solutions (25-30%) | |
| Design a data storage solution for relational data | - recommend database service tier sizing - recommend a solution for database scalability - recommend a solution for encrypting data at rest, data in transmission, and data in use |
| Design data integration | - recommend a solution for data integration - recommend a solution for data analysis |
| Recommend a data storage solution | - recommend a solution for storing relational data - recommend a solution for storing semi-structured data - recommend a solution for storing non-relational data |
| Design a data storage solution for non-relational data | - recommend access control solutions to data storage - recommend a data storage solution to balance features, performance, and cost - design a data solution for protection and durability |
Design Business Continuity Solutions (10-15%) | |
| Design a solution for backup and disaster recovery | - recommend a recovery solution for Azure, hybrid, and on-premises workloads that meets recovery objectives (Recovery Time Objective [RTO], Recovery Level Objective [RLO], Recovery Point Objective [RPO]) - understand the recovery solutions for containers - recommend a backup and recovery solution for compute - recommend a backup and recovery solution for databases - recommend a backup and recovery solution for unstructured data |
| Design for high availability | - identify the availability requirements of Azure resources - recommend a high availability solution for compute - recommend a high availability solution for non-relational data storage - recommend a high availability solution for relational data storage |
Design Infrastructure Solutions (25-30%) | |
| Design a compute solution | - recommend a virtual machine-based compute solution - recommend an appropriately sized compute solution based on workload requirements - recommend a container-based compute solution - recommend a serverless-based compute solution |
| Design an application architecture | - recommend a caching solution for applications - recommend a messaging architecture - recommend an event-driven architecture - recommend an automated deployment solution for your applications - recommend an application configuration management solution - recommend a solution for API integration |
| Design migrations | - evaluate a migration solution that leverages the Cloud Adoption Framework for Azure - assess and interpret on-premises servers, data, and applications for migration - recommend a solution for migrating applications and virtual machines - recommend a solution for migrating databases - recommend a solution for migrating unstructured data |
| Design network solutions | - recommend a network architecture solution based on workload requirements - recommend a connectivity solution that connects Azure resources to the internet - recommend a connectivity solution that connects Azure resources to on-premises networks - optimize network performance for applications - recommend a solution to optimize network security - recommend a load balancing and routing solution |
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