Explain core AI concepts, common AI workloads, and Microsoft's responsible AI principles within the Azure ecosystem.

Analyze machine learning models, datasets, and evaluation metrics to understand AI solution performance.

Apply Azure AutoML and ML Designer to build and deploy no-code machine learning models.

Implement AI solutions using Azure Computer Vision, Text Analytics, and Azure Bot Services for intelligent applications.

Identify appropriate Azure data storage solutions by comparing relational, non-relational, and workload-specific data models.

Apply SQL fundamentals to create queries and explain relational database concepts, including normalization, views, and indexes.

Compare Azure SQL Database and Azure Cosmos DB to select suitable database solutions for different business scenarios.

Explain how Azure Data Factory and Power BI integrate data, automate workflows, and visualize business insights.

Identify Azure SQL deployment models and configure relational database environments using Azure tools and best practices.

Evaluate database solutions based on performance, security, availability, and scaling requirements for Azure workloads.

Apply replicas, sharding, and SQL Data Sync to optimize distributed relational database architectures.

Develop and execute database migration strategies using Azure assessment tools while minimizing downtime and preserving data integrity.

Define cloud computing concepts, Azure service models, and navigate the Azure Portal to manage core Azure resources.

Deploy web applications, virtual machines, storage, and virtual networks using Microsoft Azure services.

Configure networking, VPNs, autoscaling, WebJobs, and monitoring to build secure and scalable Azure solutions.

Demonstrate on-premises migration and apply advanced Azure services, including Machine Learning, BizTalk, HDInsight, and Traffic Manager.

Implement Azure Cognitive Services to build intelligent applications using vision, speech, language, and decision APIs.

Configure REST APIs and Azure AI services to process images, documents, speech, and text in practical applications.

Develop AI-powered solutions using Custom Vision, Form Recognizer, Speech Services, and language understanding tools.

Design adaptive applications with anomaly detection, Personalizer, and Web Search APIs to deliver intelligent user experiences.

Design QnA knowledge bases using Azure Cognitive Services and prepare chatbot content for AI-powered interactions.

Implement and troubleshoot Java-based chatbot applications integrated with Azure Cognitive Services.

Evaluate chatbot deployments and optimize Azure resources for efficient operation and cost management.

Explain core cloud computing concepts, service models, deployment models, and Microsoft Azure architecture.

Configure Azure portals, subscriptions, Azure CLI, and PowerShell to manage Azure resources effectively.

Deploy and manage Azure Virtual Machines, storage services, and secure virtual networks with high availability.

Implement scalable web applications using Azure App Services and WebJobs for practical cloud deployments.

Explain the architecture, components, and core services of Microsoft Azure Data Lake for scalable data analytics.

Construct and execute U-SQL scripts to extract, filter, aggregate, and process data efficiently.

Implement reusable views, functions, stored procedures, and inline C# logic to build modular U-SQL solutions.

Interpret job diagnostics, performance metrics, and pricing models to optimize Azure Data Lake workloads and costs.

Construct Azure Data Factory pipelines by configuring source and destination datasets and implementing copy activities.

Apply pipeline scheduling, triggers, and deployment techniques to automate and manage data integration workflows.

Analyze pipeline execution, monitor performance, and diagnose failures using Azure Data Factory monitoring tools.

Design scalable pipelines by integrating Azure Data Lake, configuring dynamic datasets, and validating pipeline inputs.

Explain the core concepts of Azure PaaS and provision Azure App Services for cloud-based applications.

Deploy web and mobile applications to Azure using Visual Studio and platform-integrated tools.

Configure Azure Storage and Azure SQL Database to support secure and scalable application data.

Manage cloud-native applications using Azure's managed services for efficient deployment and operations.

Deploy Azure App Services and configure .NET web applications, resource groups, and App Service plans for cloud hosting.

Configure SQL databases, CORS policies, CDN, and caching to improve application security and performance.

Implement authentication, backup strategies, Logic Apps, and Azure Functions to secure and automate cloud applications.

Construct Azure networking, Service Bus messaging, and Event Grid solutions for scalable event-driven applications.

Identify Azure PaaS components and map traditional web application architecture to Azure services.

Deploy web applications manually using Azure App Services and FTP-based publishing techniques.

Validate web application deployments locally and through the Azure portal to confirm successful application access.

Explain the Azure web application deployment lifecycle using Azure tools and services.

Assess web application readiness and prepare local websites for migration to Azure App Services.

Apply Azure-supported migration tools to migrate IIS-hosted web applications to Microsoft Azure.

Execute MS SQL database migration to Azure SQL Database while configuring performance and secure access.

Optimize migrated web applications and databases by analyzing compatibility, connectivity, and cloud performance.

Evaluate application and database readiness for migration to Azure PaaS using configuration assessments.

Implement ASP.NET MVC application and database migration to Azure Web Apps and Azure SQL Database.

Validate deployed applications for correct configuration, connectivity, and performance in the Azure environment.

Apply a structured end-to-end migration workflow from preparation through deployment and post-migration validation.