Agentic AI Business Solutions Architect Free Sample Questions

Alpine Ski House is planning a comprehensive AI adoption strategy using the Cloud Adoption Framework (CAF) for AI. The organization has identified several potential use cases for Copilot Studio agents and wants to prioritize them based on technical feasibility and business value. During which phase of the CAF AI adoption process should the team build a proof of value (PoV) for the highest-priority agent?

Woodgrove Bank is designing an AI-powered document processing solution. They need to analyze thousands of documents daily. Some requests require complex reasoning and synthesis, while others only require basic summarization and entity extraction. The Chief Architect wants to optimize the total cost of ownership (TCO) without sacrificing accuracy on complex tasks.

Which TWO architectural components should you recommend implementing to achieve this cost optimization? (Select TWO)

You are assessing Dataverse tables that will be used to ground a new Dynamics 365 Customer Service agent. During your review, you discover that the 'KnowledgeArticle' table contains thousands of duplicate entries, HTML formatting errors, and conflicting resolution steps for the same error codes.

Which data quality dimension for grounding is primarily failing in this scenario?

CASE STUDY

Company Background:
Fabrikam is a global manufacturing enterprise that heavily utilizes Dynamics 365 Sales and Microsoft 365. They have a proprietary, highly complex pricing engine hosted on-premises that calculates custom discounts based on real-time supply chain metrics, historical customer purchases, and current commodity prices.

Current Situation:
Sales representatives currently switch between Microsoft Teams, Dynamics 365 Sales, and a legacy desktop application to calculate prices during customer calls. This context switching increases call times and leads to calculation errors.

Requirements:

• Sales reps must be able to ask natural language questions in Microsoft Teams (e.g., "What is the maximum discount I can offer Northwind for 500 units of Product X today?").
• The solution must securely query the on-premises pricing engine.
• The solution must understand complex manufacturing terminology and Fabrikam's unique discount tiering logic.
• The solution should leverage existing Microsoft 365 Copilot investments where possible to minimize licensing costs.

Based on Fabrikam's requirements, which architectural approach represents the optimal build vs. buy vs. extend decision?

Lucerne Publishing is establishing a Microsoft AI Center of Excellence (CoE) to govern their rollout of agentic solutions across Dynamics 365 and Power Platform. The Chief Information Officer wants to ensure the CoE focuses on the correct foundational pillars.

Which of the following is a primary element of the Microsoft AI Center of Excellence strategy that the team must implement?

You are designing an AI architecture for a logistics company. They need an agent deployed on edge devices in delivery trucks that experience frequent network disconnections. The agent must process basic natural language commands to update delivery statuses locally.

To meet these constraints, you should recommend deploying a ___________ model to the edge devices.

You are creating a Total Cost of Ownership (TCO) and Return on Investment (ROI) analysis for a proposed Copilot Studio agent intended to deflect IT helpdesk tickets.

Which combination of metrics represents the most comprehensive set of criteria for evaluating the ROI of this specific AI solution?

True or False: When deciding between building a custom agent in Copilot Studio and extending Microsoft 365 Copilot, you must build a custom standalone agent if your solution requires grounding on data stored entirely in external, non-Microsoft systems.

Trey Research is designing a complex solution that requires multiple specialized agents to collaborate. Agent A handles data retrieval from Dataverse, Agent B performs complex mathematical analysis using a custom Python script, and Agent C formats the final response for the user.

Which platform provides the native framework required to design and orchestrate this specific multi-agent collaboration pattern?

You are organizing enterprise data within Dataverse so that it can be optimally consumed by various AI systems across your organization, including Copilot Studio agents and custom Foundry models.

To ensure the AI systems can automatically understand the relationships and semantic meaning of the data without extensive hardcoding, which Dataverse feature should you heavily utilize during data organization?