
AZ-305 MS Azure Infrastructure Solutions Practice Tests
Description
Welcome to the AZ-305 MS Azure Infrastructure Solutions Practice Tests
The most recent and UPDATED exam questions with High-quality answers and official documentation to learn more about each topic as described below:
Design identity, governance, and monitoring solutions (25–30%)
Design data storage solutions (20–25%)
Design business continuity solutions (15–20%)
Design infrastructure solutions (30–35%)
Design identity, governance, and monitoring solutions (25–30%)
Design solutions for logging and monitoring
Recommend a logging solution
Recommend a solution for routing logs
Recommend a monitoring solution
Design authentication and authorization solutions
Recommend an authentication solution
Recommend an identity management solution
Recommend a solution for authorizing access to Azure resources
Recommend a solution to manage secrets, certificates, and keys
Design governance
Recommend a structure for management groups, subscriptions, and resource groups, and a strategy for resource tagging
Recommend a solution for managing compliance
Recommend a solution for identity governance
Design data storage solutions (20–25%)
Design data storage solutions for relational data
Recommend a solution for storing relational data
Recommend a database service tier and compute tier
Recommend a solution for database scalability
Recommend a solution for data protection
Design data storage solutions for semi-structured and unstructured data
Recommend a solution for storing semi-structured data
Recommend a solution for storing unstructured data
Recommend a data storage solution to balance features, performance, and costs
Recommend a data solution for protection and durability
Design data integration
Recommend a solution for data integration
Recommend a solution for data analysis
Design business continuity solutions (15–20%)
Design solutions for backup and disaster recovery
Recommend a recovery solution for Azure and hybrid workloads that meets recovery objectives
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
Recommend a high availability solution for compute
Recommend a high availability solution for relational data
Recommend a high availability solution for semi-structured and unstructured data
Design infrastructure solutions (30–35%)
Design compute solutions
Specify components of a compute solution based on workload requirements
Recommend a virtual machine-based solution
Recommend a container-based solution
Recommend a serverless-based solution
Recommend a compute solution for batch processing
Design an application architecture
Recommend a messaging architecture
Recommend an event-driven architecture
Recommend a solution for API integration
Recommend a caching solution for applications
Recommend an application configuration management solution
Recommend an automated deployment solution for applications
Design migrations
Evaluate a migration solution that leverages the Microsoft Cloud Adoption Framework for Azure
Evaluate on-premises servers, data, and applications for migration
Recommend a solution for migrating workloads to infrastructure as a service (IaaS) and platform as a service (PaaS)
Recommend a solution for migrating databases
Recommend a solution for migrating unstructured data
Design network solutions
Recommend a connectivity solution that connects Azure resources to the internet
Recommend a connectivity solution that connects Azure resources to on-premises networks
Recommend a solution to optimize network performance
Recommend a solution to optimize network security
Recommend a load-balancing and routing solution
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Who this course is for:
- Students preparing for the AZ-305: Designing Microsoft Azure Infrastructure Solutions exam
- Microsoft Certified Azure Solutions Architect Expert certificate
- Microsoft Azure Professionals
- IT professionals aiming for a Career in Azure solutions architecture
Instructor
I am a Microsoft big data engineer with 5 years of experience in Azure and data engineering. I'm passionate about developing and implementing scalable data solutions that help businesses unlock the full potential of their data
My expertise includes Azure services like Azure Data Factory, Azure Databricks, and Azure Stream Analytics, as well as big data technologies such as Hadoop, Spark, and Kafka. I love sharing my knowledge and helping others succeed in the field of data engineering. When I'm not working with data, I enjoy exploring new technologies and staying up-to-date on the latest developments in the industry.