Technical practice
Designing Secure AI Landing Zones
What to coverExplain the architectural components required for a secure AI application landing zone on Azure. Focus on how you would implement network isolation, private endpoints for AI services, and identity-based access control to protect sensitive models and data.
RAG Implementation Strategy
What to coverDescribe the end-to-end process of building a Retrieval-Augmented Generation (RAG) solution. Discuss the trade-offs between different vector database choices, embedding models, and how you ensure data privacy and accuracy in the retrieval process.
Modernizing Java and .NET Applications
What to coverWhen migrating legacy Java or .NET applications to Azure, what criteria do you use to determine if an application should be refactored versus re-platformed? Address how you handle containerization, dependency management, and performance optimization during the migration.
AKS and Container Networking
What to coverHow do you troubleshoot complex networking issues in an Azure Kubernetes Service (AKS) environment? Discuss your approach to diagnosing connectivity problems between pods, services, and external Azure PaaS resources, including the use of observability tools.
AI Model Selection for Enterprise Use Cases
What to coverGiven a specific enterprise scenario, how do you evaluate and recommend the best AI model from the Microsoft Foundry ecosystem? Explain how you balance factors like latency, cost, model capability, and compliance requirements.
Managing Non-Generative AI Workloads
What to coverBeyond generative AI, how do you architect solutions for predictive analytics or document processing on Azure? Discuss the integration of Azure services to ensure these workloads are scalable and maintainable in a production environment.
Azure PaaS Security and Observability
What to coverWhat are the key pillars of securing and monitoring Azure PaaS applications? Detail how you implement logging, monitoring, and alerting to ensure high availability and proactive risk mitigation for customer deployments.
Technical Program Management in Delivery
What to coverHow do you manage the lifecycle of a Cloud Accelerate Factory engagement to ensure successful outcomes? Suggestion: Focus on how you track project milestones, identify delivery blockers early, and coordinate between technical teams and business stakeholders.
Behavioural practice
Managing Senior Stakeholder Expectations
What to coverDescribe a situation where you had to influence a C-suite or senior decision-maker regarding a technical architectural choice. How did you translate complex technical risks into business-focused language to gain their alignment?
Handling Delivery Blockers
What to coverProvide an example of a time you encountered a significant roadblock during a customer engagement. What specific actions did you take to resolve the issue, and how did you ensure the project remained on track?
Customer Obsession and Problem Solving
What to coverTell me about a time you went above and beyond to ensure a customer's success with an Azure project. What was the challenge, and how did your intervention lead to a measurable business impact?
Collaborating Across Virtual Teams
What to coverDescribe a scenario where you had to lead a cross-functional team, including partners or internal specialists, to deliver a complex solution. How did you manage communication and accountability to ensure a unified approach?