This page lists exercises associated with Microsoft skilling content on Microsoft Learn
Lab 3: Assess and improve Azure infrastructure resiliency
Level: 300 | Duration: 150
Use Infrastructure Resiliency Manager and the Azure Copilot Resiliency Agent to assess zonal resiliency, define application goals, plan remediation, and inspect a prepared Availability Zone Down Drill.
Lab 1: Assess sovereign controls and plan remediation
Level: 300 | Duration: 120
Enforce a regional control, assess data residency, customer-managed key, and confidential computing compliance, build a sovereignty dashboard, and prioritize remediation.
Build the Caldova unified data and AI solution
Level: 300 | Duration: 90
Implement a Microsoft Fabric solution that unifies launch data, detects an operational exception, and adds governed business context for a launch-capacity decision.
Build the Web IQ lab foundation
Level: 300 | Duration: 45
Create the Zava Retail lakehouse, load retail data, and publish a Fabric data agent.
Lab 1 - L100: Introduction to resilient cloud design
Level: 100 | Duration: 30
Design and validate Azure VM backup for a regulated Caldova workload by configuring retention, protecting a virtual machine, and verifying a recovery point.
Lab 1: Modernize a .NET application and SQL Server database with GitHub Copilot and CLI
Level: 300 | Duration: 60
Use GitHub Copilot in Visual Studio Code and from the command line to assess a legacy workload, improve its configuration, migrate its database to Azure SQL Database, and deploy the application to Azure Container Apps.
Lab 2: Modernize a Java application and an Oracle application with GitHub Copilot, PostgreSQL, and AKS
Level: 300 | Duration: 60
Assess Java and Oracle application assets, make a bounded Java configuration improvement, validate an Oracle-to-PostgreSQL schema translation, review an AKS target pattern, and prepare a customer-ready recommendation.
Lab 4: Protect Azure data and recover from cyber threats
Level: 300 | Duration: 70
Protect Caldova Azure workloads, harden recovery data, and assess cyber-recovery readiness against manufacturing and regulatory requirements.
Analyze Caldova feedback with Fabric data agents
Level: 300 | Duration: 90 minutes
Score launch-readiness feedback with a Fabric-native or Azure OpenAI path, and compare direct data-source grounding with ontology-enhanced grounding.
Build Web IQ-grounded agents
Level: 300 | Duration: 45
Create Foundry agents that use Zava internal data and current public-web results.
Lab 2 — L200: Resiliency posture review
Level: 200 | Duration: 35
Review Caldova’s Azure reliability posture with Azure Advisor, connect recommendations to business requirements, and create a prioritized improvement plan.
Build the multi-agent workflow
Level: 300 | Duration: 35
Orchestrate the Zava agents, publish the entry agent, and enable Application Insights tracing.
Run the end-to-end Web IQ scenario
Level: 300 | Duration: 25
Test internal, external, and combined questions and inspect their execution traces.