Free Microsoft Certified: Agentic AI Business Solutions Architect (beta)Practice Test

A financial services company wants to deploy an agentic AI solution that can autonomously process customer loan applications, verify documents, check credit scores, and make preliminary approval decisions. The solution must maintain explainability for regulatory compliance. Which architectural pattern should you recommend?

You are implementing a business AI agent that needs to access multiple Azure Cognitive Services, Azure SQL Database, and third-party APIs. What is the best practice for managing the agent's tool invocations?

Your organization is designing an agentic AI system for customer support. The system must handle thousands of concurrent conversations while maintaining context and personalization. Which Azure service combination provides the most scalable solution?

A retail company wants to implement an AI agent that can autonomously reorder inventory based on sales trends, supplier availability, and seasonal patterns. What is the most critical safety mechanism to implement?

You need to integrate Azure AI Search with an agentic AI system to enable retrieval-augmented generation (RAG) for enterprise knowledge. Which implementation approach is recommended?

What is the primary purpose of an orchestrator agent in a multi-agent system?

Your agentic AI solution uses Azure OpenAI Service and needs to ensure responses are grounded in company data while preventing hallucinations. The company has strict data residency requirements. Which Azure OpenAI feature should you prioritize?

A healthcare provider is implementing an AI agent to assist with patient appointment scheduling and medication reminders. Which compliance framework must be primarily addressed in the architecture?

You are designing an agentic AI system that must handle both structured data queries and unstructured document analysis. The system needs to autonomously decide which data source to query based on user intent. What architectural component is essential?

When implementing memory for an AI agent that handles long-running business processes, which memory architecture pattern is most appropriate?

Your company needs to monitor and optimize the performance of deployed AI agents. Token consumption is exceeding budget. What is the most effective optimization strategy?

An enterprise wants to implement agentic AI that can interact with SAP, Salesforce, and Microsoft Dynamics 365. Which integration approach provides the most maintainable solution?

What is the recommended approach for handling sensitive data when an AI agent needs to process personally identifiable information (PII)?

You are implementing an AI agent that needs to execute complex multi-step workflows that may take hours to complete. Which architectural pattern best supports this requirement?

A manufacturing company wants their AI agent to monitor IoT sensor data and autonomously trigger maintenance requests. The system must handle real-time data streams. Which Azure service combination is most appropriate?

When designing an agentic AI architecture for a global enterprise, what is the primary consideration for agent deployment topology?

Your AI agent occasionally generates incorrect tool calls with invalid parameters. What is the best approach to improve reliability?

An organization needs to implement observability for their multi-agent system to troubleshoot failures and optimize performance. Which approach provides comprehensive insights?

You need to implement content filtering and safety guardrails for a customer-facing AI agent. Which Azure capability should you leverage?

A company is designing an agentic AI system where multiple specialized agents must collaborate to complete complex tasks like contract analysis, risk assessment, and compliance checking. What coordination pattern is most suitable?