Master the Microsoft Certified: Agentic AI Business Solutions Architect (beta) exam with our comprehensive Q&A collection. Review questions by topic, understand explanations, and build confidence for exam day.
Strategies to help you tackle Microsoft Certified: Agentic AI Business Solutions Architect (beta) exam questions effectively
Allocate roughly 1-2 minutes per question. Flag difficult questions and return to them later.
Pay attention to keywords like 'MOST', 'LEAST', 'NOT', and 'EXCEPT' in questions.
Use elimination to narrow down choices. Often 1-2 options can be quickly ruled out.
Focus on understanding why answers are correct, not just memorizing facts.
Practice with real exam-style questions for Microsoft Certified: Agentic AI Business Solutions Architect (beta)
A multi-agent system with specialized agents is correct because it allows for modularity, specialized expertise per task, and clear decision tracking through the orchestrator, which is essential for regulatory explainability. Each agent can handle specific tasks (document verification, credit checking, etc.) while the orchestrator maintains an audit trail. Option A lacks modularity and makes debugging difficult. Option C is too simplistic for autonomous processing. Option D doesn't leverage modern AI capabilities needed for complex decision-making.
Implementing a function-calling framework with tool definitions is correct because it provides structured, secure, and maintainable tool access. This approach includes proper parameter validation, type checking, error handling, and security boundaries. Option A is insecure and inflexible. Option C creates security vulnerabilities and unpredictable behavior. Option D introduces unnecessary complexity and coordination overhead for what should be tool invocations within a single agent's capabilities.
Azure OpenAI Service with Cosmos DB and Container Apps is correct because it provides: scalable LLM capabilities, globally distributed low-latency state storage with Cosmos DB, and auto-scaling containerized agent deployment. This combination handles high concurrency effectively. Option B lacks the scalability and modern LLM capabilities. Option C loses state during scaling events and isn't suitable for persistent conversations. Option D doesn't leverage cloud scalability and introduces latency and management overhead.
Human-in-the-loop approval with thresholds and rollback capabilities is correct because it balances automation benefits with risk management. This approach allows autonomous handling of routine orders while requiring human judgment for significant decisions, and provides recovery mechanisms. Option A creates unacceptable financial risk. Option C eliminates the value of autonomous agents. Option D fails to leverage AI's ability to identify complex patterns in sales trends and market conditions that rules-based systems would miss.
Semantic search with vector embeddings and hybrid retrieval is correct because it provides the most accurate and efficient retrieval. Vector embeddings capture semantic meaning, hybrid retrieval combines semantic and keyword approaches for best results, and filtering ensures only relevant content reaches the LLM, optimizing token usage and response quality. Option A exceeds token limits and is cost-prohibitive. Option C misses semantic relationships in queries. Option D is technically infeasible due to token limitations and would need constant updates.
Review Q&A organized by exam domains to focus your study
30% of exam • 3 questions
What is the primary purpose of Design Agentic AI Architecture in Cloud Computing?
Design Agentic AI Architecture serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Agentic AI Business Solutions Architect (beta) certification.
Which best practice should be followed when implementing Design Agentic AI Architecture?
When implementing Design Agentic AI Architecture, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Design Agentic AI Architecture integrate with other Microsoft Azure services?
Design Agentic AI Architecture integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
25% of exam • 3 questions
What is the primary purpose of Implement Business AI Agents in Cloud Computing?
Implement Business AI Agents serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Agentic AI Business Solutions Architect (beta) certification.
Which best practice should be followed when implementing Implement Business AI Agents?
When implementing Implement Business AI Agents, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Implement Business AI Agents integrate with other Microsoft Azure services?
Implement Business AI Agents integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
25% of exam • 3 questions
What is the primary purpose of Integrate AI Services and Orchestration in Cloud Computing?
Integrate AI Services and Orchestration serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Agentic AI Business Solutions Architect (beta) certification.
Which best practice should be followed when implementing Integrate AI Services and Orchestration?
When implementing Integrate AI Services and Orchestration, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Integrate AI Services and Orchestration integrate with other Microsoft Azure services?
Integrate AI Services and Orchestration integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
20% of exam • 3 questions
What is the primary purpose of Security, Compliance, and Optimization in Cloud Computing?
Security, Compliance, and Optimization serves as a fundamental component in Cloud Computing, providing essential capabilities for managing, configuring, and optimizing Microsoft Azure solutions. Understanding this domain is crucial for the Microsoft Certified: Agentic AI Business Solutions Architect (beta) certification.
Which best practice should be followed when implementing Security, Compliance, and Optimization?
When implementing Security, Compliance, and Optimization, follow the principle of least privilege, ensure proper documentation, implement monitoring and logging, and regularly review configurations. These practices help maintain security and operational excellence.
How does Security, Compliance, and Optimization integrate with other Microsoft Azure services?
Security, Compliance, and Optimization integrates seamlessly with other Microsoft Azure services through APIs, shared authentication, and native connectors. This integration enables comprehensive solutions that leverage multiple services for optimal results.
After reviewing these questions and answers, challenge yourself with our interactive practice exams. Track your progress and identify areas for improvement.
Common questions about the exam format and questions
The Microsoft Certified: Agentic AI Business Solutions Architect (beta) exam typically contains 50-65 questions. The exact number may vary, and not all questions may be scored as some are used for statistical purposes.
The exam includes multiple choice (single answer), multiple response (multiple correct answers), and scenario-based questions. Some questions may include diagrams or code snippets that you need to analyze.
Questions are weighted based on the exam domain weights. Topics with higher percentages have more questions. Focus your study time proportionally on domains with higher weights.
Yes, most certification exams allow you to flag questions for review and return to them before submitting. Use this feature strategically for difficult questions.
Practice questions are designed to match the style, difficulty, and topic coverage of the real exam. While exact questions won't appear, the concepts and question formats will be similar.
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