AB-100: Agentic AI Business Solutions Architect › Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect › Question #26636
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Q

A company is building a Microsoft Copilot Studio agent that answers questions from a Microsoft Fabric data warehouse and creates work orders when instructed. The agent must use only internal data.

You identify the following issues with the grounding data:

  • Data refresh occurs every 24 hours, but responses must reflect updates within 15 minutes.
  • The data contains duplicate asset IDs and missing maintenance status values.
  • There is intermittent connectivity to the data warehouse during shifts.

You need to remediate data readiness to ensure responses are accurate, clean, timely, and available.

Which remediation plan should you implement?

ID: #26636 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 4 views
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#26636Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic
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  • A Replace the data warehouse with document-based tracking in Microsoft SharePoint Online. ✔ ✖
  • B Keep the existing refresh schedule and add more Copilot Studio topics to explain the missing data. ✔ ✖
  • C Move the agent to Microsoft 365 Copilot and require users to manually validate data before creating work orders. ✔ ✖
  • D Enforce data quality rules in the data warehouse, implement incremental refresh to meet a 15-minute SLA, and cache a read-only snapshot of the required data for availability. ✔ ✖
Correct Answer

Explanation

Objective:

1.1 Analyze requirements for AI-powered business solutions

What This Item Tests:

Assess the use of agents in task automation, data analytics, and decision-making

Additional Reading:

Copilot Studio overview

Introduction

Key Microsoft technologies supporting Microsoft for Manufacturing

Copilot Studio reference architectures and solution ideas

Rationale:

Enforcing data quality rules addresses duplicate and missing values, incremental refresh ensures data timeliness within the required 15-minute window, and caching a read-only snapshot improves availability during connectivity interruptions, collectively ensuring accurate, clean, timely, and available responses; Keeping the existing refresh schedule does not meet timeliness requirements and does not resolve data quality issues; Requiring manual validation shifts responsibility to users and does not remediate underlying data readiness problems; Replacing the data warehouse with document-based tracking introduces additional complexity and does not address the core data quality, timeliness, or availability requirements.

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