How I Passed Microsoft AZ-302 Exam using VCEEXAMSTEST | AZ-302 Practice Test and Training Material
Microsoft AZ-302 Exam Topics
Determine Workload Requirements (15-20%)
- Determine Feasibility and Refine Requirements
- May include but not limited to: Recommend changes during project execution (ongoing); create proof of concept (PoC); determine whether a pilot is needed; evaluate products and services to align with solution; create testing scenarios; refine user stories
- Optimize Consumption Strategy
- May include but not limited to: Optimize app service, compute, identity, network, and storage costs
Design for Identity and Security (5-10%)
Design Authorization
- May include but not limited to: Choose an authorization approach; define access permissions and privileges; design secure delegated access (e.g., oAuth, OpenID, etc.); recommend when and how to use API Keys
Design a Business Continuity Strategy (15-20%)
- Design a Site Recovery Strategy
- May include but not limited to: Design a recovery solution; design a site recovery replication policy; design for site recovery capacity and for storage replication; design site failover and failback (planned/unplanned); design the site recovery network; recommend recovery objectives (e.g., Azure, on-prem, hybrid, Recovery Time Objective (RTO), Recovery Level Objective (RLO), Recovery Point Objective (RPO)); identify resources that require site recovery; identify supported and unsupported workloads; recommend a geographical distribution strategy
- Design for High Availability
- May include but not limited to: Design for application redundancy, autoscaling, data center and fault domain redundancy, and network redundancy; identify resources that require high availability; identify storage types for high availability
Implement Workloads and Security (5-10%)
Configure serverless computing
- May include but not limited to: Create and manage objects; manage a Logic App resource; manage Azure Function app settings; manage Event Grid; manage Service Bus
Implement Authentication and Secure Data (5-10%)
Implement secure data solutions
- May include but not limited to: Encrypt and decrypt data at rest; encrypt data with Always Encrypted; implement Azure Confidential Compute and SSL/TLS communications; manage cryptographic keys in the Azure Key Vault
Develop for the Cloud (45-50%)
- Develop long-running tasks
- May include but not limited to: Implement large-scale, parallel, and high-performance apps by using batches; implement resilient apps by using queues; implement code to address application events by using web hooks; address continuous processing tasks by using web jobs
- Configure a message-based integration architecture
- May include but not limited to: Configure an app or service to send emails, Event Grid, and the Azure Relay Service; create and configure a Notification Hub, an Event Hub, and a Service Bus; configure queries across multiple products; configure an app or service with Microsoft Graph
- Develop for asynchronous processing
- May include but not limited to: Implement parallelism, multithreading, processing, durable functions, Azure logic apps, interfaces with storage, interfaces to data access, and appropriate asynchronous compute models
- Develop for autoscaling
- May include but not limited to: Implement autoscaling rules and patterns (schedule, operational/system metrics, code that addresses singleton application instances, and code that addresses transient state
- Implement distributed transactions
- May include but not limited to: Identify tools to implement distributed transactions (e.g., ADO.NET, elastic transactions, multi-database transactions); manage transaction scope; manage transactions across multiple databases and servers
- Develop advanced cloud workloads
- May include but not limited to: Develop solutions by using intelligent algorithms that identify items from images and videos; develop solutions by using intelligent algorithms related to speech, natural language processing, Bing Search, and recommendations and decision making; create and integrate bots; integrate machine learning solutions in an app; create and implement IoT solutions
Microsoft AZ-302 Exam Preparation Resource Guide
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