AB-100學習筆記 - AB-100考試資訊

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AB-100學習筆記, AB-100考試資訊, AB-100考試證照綜述, 最新AB-100考題, AB-100最新考證

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Microsoft AB-100 考試大綱：

主題 簡介
主題 1
  • Design AI-powered business solutions: Covers designing AI agents, Copilot integrations, and intelligent workflows using platforms like Copilot Studio, Microsoft Foundry, and Dynamics 365. It includes planning prompts, connectors, agent behaviors, and solution extensibility.
主題 2
  • Deploy AI-powered business solutions: Focuses on deploying, testing, monitoring, and optimizing AI solutions in production. It also includes managing ALM processes, performance monitoring, and ensuring security, governance, and responsible AI compliance.
主題 3
  • Plan AI-powered business solutions: Focuses on analyzing business requirements and identifying where AI agents and generative AI can improve processes. It also includes defining AI strategy, evaluating ROI, and deciding whether to build, buy, or extend AI components.

>> AB-100學習筆記 <<

現實的AB-100學習筆記和資格考試的領導者與權威的AB-100：Agentic AI Business Solutions Architect

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最新的 Microsoft Certified AB-100 免費考試真題 (Q56-Q61):

問題 #56
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company uses Microsoft 365 and Dynamics 365.
You need to recommend a solution to automatically summarize email threads, generate suggested replies in Microsoft Outlook, and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend a classic Microsoft Dataverse workflow.
Does this meet the goal?

  • A. Yes
  • B. No

答案：B

解題說明：
Correct:
* You recommend Microsoft 365 Copilot for Sales.
Incorrect:
* You recommend a classic Microsoft Dataverse workflow.
* You recommend a Microsoft 365 Copilot agent template.
Note:
In the described scenario, Microsoft 365 Copilot for Sales acts as the primary bridge between your productivity tools and CRM data. It integrates directly into Microsoft Outlook and Teams to surface real-time insights from Dynamics 365 Sales or Salesforce.
Key capabilities for this specific workflow include:
Automated Email Summarization: Copilot scans long email threads in Outlook to extract key points, highlights, and BANT (Budget, Authority, Need, Timeline) data. If the sender is an external contact recognized in your CRM, the summary is automatically enriched with relevant account and opportunity data.
Suggested Email Replies: When replying to customer emails, Copilot generates drafts based on the context of the conversation and existing CRM data. You can use predefined response categories (e.g., "Reply to an inquiry," "Offer a proposal") or custom prompts to include specific opportunity details in the draft.
Meeting Preparation Summaries: Before a scheduled meeting, Copilot for Sales provides a
"preparation card" in Teams or Outlook. This summary includes:
- CRM Data: Matched opportunity and account attributes.
- Contextual History: Summaries of past email exchanges and the last three seller notes.
- Strategic Insights: Key risks, follow-up actions, and discussion points from previous interactions.
Reference:
https://msdynamicsworld.com/blog/microsoft-copilot-sales-close-deals-faster-ai


問題 #57
A company has an Al agent that automates the review of customer feedback stored in a cloud database.
You plan to generate monthly reports from the agent ' s output to provide insights into customer sentiment and guide product development and marketing.
You need to ensure that the data ingested by the agent is clean and suitable for the intended use.
What should you do to prepare the data?

  • A. Translate the data into a single language.
  • B. Identify and address biased data.
  • C. Ensure that the size of the database does not exceed 100 GB.
  • D. Sort the database by customer last name.

答案：B

解題說明：
The requirement is to make sure the data ingested by the agent is clean and suitable for the intended use, which is producing monthly sentiment insights to guide product development and marketing.
The best answer is C. Identify and address biased data.
Why C is correct:
For sentiment analysis and reporting, biased data can distort conclusions and produce misleading recommendations Data preparation should include checking for skew, unfair representation, missing segments, and other quality issues that affect downstream decisions This aligns with responsible AI and sound analytics practice Why the other options are not correct:
A). Ensure that the size of the database does not exceed 100 GB is unrelated to data quality or suitability B). Translate the data into a single language might help in some implementations, but it is not universally required and is not the primary data-quality action here D). Sort the database by customer last name has no relevance to model readiness or report quality


問題 #58
A company has a Microsoft Power Platform environment that contains Microsoft Dataverse data. You create a Microsoft Copilot Studio agent named Agent1 that processes the Dataverse data. You discover that Agent1 fails to return relevant or accurate results. You need to improve the quality and reliability of data grounding.
What should you do?

  • A. Add example user inputs to the training data of Agent1.
  • B. Use an adaptive card in Agent1.
  • C. Verify and cleanse the Dataverse data.
  • D. Retrain Agent1.

答案：C

解題說明：
If a Copilot Studio agent that uses Dataverse is returning poor or irrelevant results, the most likely issue is weak or inconsistent grounding data.
The best corrective action is C. Verify and cleanse the Dataverse data.
Why C is correct:
* Grounded AI quality depends heavily on source data quality
* Incomplete, inconsistent, duplicated, outdated, or badly structured Dataverse records will lead to poor answers
* Cleansing and validating the data improves both relevance and reliability without requiring unnecessary model changes Why the other options are not correct:
* A. Use an adaptive card in Agent1 Adaptive cards improve UI interaction, not grounding quality.
* B. Add example user inputs to the training data of Agent1 This may help intent handling, but the issue here is inaccurate grounding from Dataverse.
* D. Retrain Agent1 Copilot Studio grounding problems are usually solved by improving source data, not retraining the agent.


問題 #59
You use Microsoft Copilot Studio analytics to analyze the performance of a deployed Copilot Studio agent.
You need to identify which performance metrics to use to measure the following:
* The percentage of engaged sessions that are escalated to a live customer service representative
* The number of agent queries that cause a knowledge source error
What should you identify for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

Explanation:

In Microsoft Copilot Studio analytics , each metric is designed to measure a different aspect of agent performance.
For the first requirement, the metric that tracks the percentage of engaged sessions escalated to a live customer service representative is Escalation rate . This directly measures how often conversations are handed off from the agent to a human.
For the second requirement, the metric that helps identify queries causing a knowledge source error is Answer quality . This area evaluates how well the agent responds and includes issues related to grounded answers, failed responses, and knowledge-source-related problems.
Why the other options are not correct:
* Customer Satisfaction (CSAT) score measures user satisfaction, not escalation percentage or knowledge source errors.
* Engagement rate measures whether users actively interact with the agent, not whether sessions are escalated or whether a knowledge source failed.


問題 #60
A company uses Microsoft 365 and Dynamics 365
You need to recommend a solution lo automatically summarize email threads, generate suggested replies in Microsoft Outlook and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend a classic Microsoft Dataverse workflow.
Does this meet the goal?

  • A. Yes
  • B. No

答案：B


問題 #61
......

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