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When you take Microsoft AB-100 practice exams again and again you get familiar with the Agentic AI Business Solutions Architect (AB-100) real test pressure and learn to handle it for better outcomes. Features of the web-based and desktop AB-100 Practice Exams are similar. The only difference is that the Agentic AI Business Solutions Architect (AB-100) web-based version works online.
NEW QUESTION # 17
A financial services company uses Microsoft Dynamics 365 Finance.
Currently, the company's support staff manually reviews customer transaction histories to detect potential fraud cases before escalating the cases.
You need to recommend an automation solution for the review process. The solution must ensure that escalations reach a human analyst for final decision making. What should you recommend?
Answer: A
Explanation:
To automate the fraud review process in Microsoft Dynamics 365 Finance while ensuring a human analyst makes the final decision, you should configure the Dynamics 365 Fraud Protection (or integrated Copilot AI agents) to generate risk scores and route high-risk transactions to a manual review queue.
Here is the configuration approach to achieve this:
1. Implement AI-Driven Risk Scoring: Utilize Dynamics 365 Fraud Protection, which uses AI to analyze customer transaction history and assign a risk score (0-999) to each transaction.
2. Define Rules for Escalation: Set up fraud rules in the system to determine which transactions require human intervention. For instance, define a threshold (e.g., a "Minimum score value") where transactions with high fraud probability are automatically flagged.
3. Establish Manual Review Queues: Configure the Manual Review tool to create queues for suspected fraudulent transactions, allowing human analysts to review the AI-generated risk score and transaction history, such as customer behavior, for final, informed decision-making.
4. Use Copilot/AI Agents for Monitoring: Enable AI agents to continuously monitor financial data, such as invoice, payment, and vendor data, and generate alerts for unusual patterns before escalating.
This setup, particularly through the Manual Review workspace, allows for an automated, intelligent, and scalable approach to fraud management.
Reference:
https://www.microsoft.com/en-us/dynamics-365/blog/it-professional/2021/03/25/enhance-your- fraud-workflow-efficiency-with-manual-review/
NEW QUESTION # 18
A company uses Microsoft Dynamics 365 finance and operations apps.
The company plans to use Microsoft Copilot in-app help and guidance to generate responses for internal business processes.
You need to add an additional knowledge source for the business processes. The solution must NOT add new topics to the Copilot agent for the finance and operations apps.
Which knowledge source should you add?
Answer: C
Explanation:
To add an additional knowledge source for internal business processes to the Microsoft Copilot in-app experience for Dynamics 365 finance and operations apps-without creating new topics- you should add File Uploads (such as PDF, Word, or text documents) to the "Copilot for finance and operations apps" agent in Copilot Studio.
Reference:
https://learn.microsoft.com/en-us/dynamics365/fin-ops-core/dev-itpro/copilot/extend-copilot- generative-help
NEW QUESTION # 19
A company uses Microsoft Dynamics 365 Finance to manage accounts payable.
You are designing an AI invoice processing solution.
You need to recommend the prerequisites to configure a prebuilt copilot for accounts payable.
What should you recommend?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answer is D. From the Power Platform admin center, assign the Finance and Operations AI security role to users.
This question is asking for the prerequisite to configure a prebuilt copilot for accounts payable in Microsoft Dynamics 365 Finance. Since the copilot is already prebuilt, the requirement is not to create a new agent or build a custom AI tool. Instead, the needed prerequisite is proper access and security enablement for users.
Why D is correct
Prebuilt copilots in Dynamics 365 Finance and Operations apps rely on the platform's built-in configuration and security model. Before users can configure or use these AI capabilities, they must have the correct permissions. Assigning the Finance and Operations AI security role is the prerequisite that enables access to those AI experiences.
From a business solutions perspective, this makes sense because enterprise AI in finance functions must be governed carefully. Accounts payable touches:
invoices
vendors
payment workflows
financial controls
audit-sensitive business data
Because of that, Microsoft requires the appropriate security role before users can configure or interact with the prebuilt copilot capabilities.
This is also aligned with responsible deployment practice: enable access through role-based controls first, then configure and use the copilot.
Why the other options are incorrect
A). From Microsoft Copilot Studio, create an accounts payable agent
This is incorrect because the question specifically says prebuilt copilot. A prebuilt copilot does not require building a new custom agent in Copilot Studio as a prerequisite.
B). Extend Microsoft 365 Copilot for Sales to an accounts payable agent This is unrelated. Microsoft 365 Copilot for Sales is focused on sales workflows, not accounts payable in Dynamics 365 Finance.
C). Build an AI tool in Microsoft Foundry
This is also unnecessary for a prebuilt copilot scenario. Foundry is for custom AI solution development, not the prerequisite step for enabling an out-of-the-box accounts payable copilot.
Expert reasoning
Use this exam pattern:
If the question says prebuilt copilot, think enable/configure access, not build custom AI If the scenario is Dynamics 365 Finance / Finance and Operations, role-based setup is often the key prerequisite When the options include a specific AI security role, that is usually the required setup step So the correct choice is:
NEW QUESTION # 20
A company has an AI solution built by using Microsoft Copilot Studio and Power Platform. The solution is used by the company's sales, marketing, and customer service teams.
You are performing a return on AI investment (ROAI) analysis to evaluate the impact of the solution.
You need to identify which measurable business drivers to include in the analysis.
Which two business drivers should you identify? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
Reducing the average case resolution time is a high-impact, measurable business driver for an AI investment (ROAI) analysis, particularly when implementing Microsoft Copilot Studio and Power Platform for local sales, marketing, and customer service teams.
According to Microsoft and industry research, this metric directly translates to reduced operational costs, increased agent productivity, and higher customer satisfaction.
Increased employee productivity is a primary and highly measurable business driver for an AI investment (ROAI) analysis involving Microsoft Copilot Studio and Power Platform, particularly for sales, marketing, and customer service teams. These tools allow organizations to automate manual tasks, streamline workflows, and enhance content generation, directly resulting in time savings and efficiency gains.
Reference:
https://www.stratospherenetworks.com/blog/tech-talks-reduce-resolution-times-by-40-with-ai-for- customer-service-agents
https://www.microsoft.com/en-in/microsoft-copilot/copilot-101/ai-for-business
NEW QUESTION # 21
A company has a Microsoft Foundry generative Al model.
You need to evaluate the model ' s output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?
Answer: A
Explanation:
The requirement says the evaluation must:
* measure overall quality and coherence of generated responses
* use GPT-4o as a judge
* return a numeric score for each output
That maps directly to AI quality (AI assisted) .
Why D is correct:
AI-assisted quality metrics use a strong model such as GPT-4o to evaluate generated outputs against qualitative dimensions like coherence, relevance, completeness, and overall response quality, and then assign scores.
Why the other options are not correct:
* A. Groundedness checks whether the answer is supported by the source/context, not overall quality and coherence.
* B. AI quality (NLP) usually refers to traditional NLP-style metrics rather than judge-model scoring with GPT-4o.
* C. risk and safety evaluates harmfulness, toxicity, jailbreak risk, or policy concerns, not overall response quality.
NEW QUESTION # 22
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