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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Exam AB-731: AI Transformation Leader |
| Exam Number: | AB-731 |
| Real Exam Qty: | 40โ60 |
| Passing Score: | 700 |
| Exam Price: | $99 USD |
| Exam Duration: | 45โ65 |
| Certificate Validity Period: | 12 months |
| Exam Format: | Case studies, Multiple response, Yes/No, Multiple choice, Drag and drop |
| Available Languages: | German, English, Chinese (Simplified), French, Japanese, Spanish |
| Recommended Training: | AB-731T00: AI Transformation Leader |
| Exam Registration: | Microsoft Certification Registration |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online proctored or onsite at authorized test centers |
| Pre Condition: | No mandatory prerequisites; recommended experience in business transformation, change management, and familiarity with Microsoft 365 and Azure AI services |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-731 |
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NEW QUESTION # 66
Your company has an AI solution that uses a prebuilt Azure OpenAI model to generate content. You need to reduce the cost of the solution while minimizing the impact on the quality of the generated output. Which two actions should you perform? (Select TWO.) NOTE: Each correct selection is worth one point.
Answer: D,E
Explanation:
To reduce Azure OpenAI costs with minimal quality loss, you target the biggest cost drivers: token usage and model price per token (or throughput unit). C (Optimize the prompts) is a best practice because shorter, clearer prompts reduce unnecessary input tokens and often reduce output length by tightening instructions and formatting. Prompt optimization can preserve or even improve quality by removing ambiguity, adding constraints, and using compact context (for example, only the most relevant grounding passages). Lower token consumption directly lowers cost while maintaining response usefulness.
D (Switch to an alternate model) is also effective because different models have different price/performance tradeoffs. Moving from a premium model to a more cost-efficient model (or a smaller variant) can significantly reduce spend. You can minimize quality impact by validating outputs on representative scenarios and using a tiered approach (cheap model by default, expensive model only for complex cases).
The other options are less aligned to the goal. A (Fine-tune) typically increases cost (training and ongoing evaluation) and is not the first-line cost reducer. B (Content moderation) is primarily a safety control; it can add overhead and doesn't directly reduce token costs. E (Decrease hosting hours) applies to capacity-based hosting scenarios, but the question states a prebuilt Azure OpenAI model for content generation-cost reduction is best achieved by prompt/token optimization and selecting the right model.
NEW QUESTION # 67
Hotspot Question
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 68
Your company uses Microsoft 365 Copilot.
You identify several business processes that require custom workflows and specialized automation.
You need to recommend a solution that extends Copilot capabilities while minimizing development effort and costs.
What should you recommend?
Answer: A
Explanation:
To extend Microsoft 365 Copilot while minimizing development effort and costs for business processes requiring specialized automation, you should build a declarative agent by using the
"lite" experience of Microsoft Copilot Studio (often referred to as the Agent Builder).
Declarative Agent (Lite Experience)
Best for: Minimizing effort and cost while staying within the Microsoft 365 ecosystem.
Effort: Low; utilizes a natural language interface where you describe tasks and workflows in plain language.
Capabilities: Adds custom instructions, knowledge (like SharePoint files), and specific actions (API plugins) to the existing Copilot orchestrator.
Cost: Often included with Microsoft 365 Copilot licenses, reducing additional procurement friction.
Incorrect:
[Not A]
Agent with Microsoft Foundry
Best for: Pro-code development, specialized model tuning, and high-scale, multi-agent orchestration.
Effort: High; requires professional developers, data scientists, and specialized skills in languages like Python or C#.
Cost: Higher due to specialized developer resources and Azure consumption-based pricing for models and infrastructure.
[Not C]
Custom Agent (Full Copilot Studio)
Best for: More complex, branched workflows and departmental-scale automation.
Effort: Moderate; involves a low-code, drag-and-drop interface and may require understanding
"Topics" and manual conversation logic.
Capabilities: Offers greater reach, bespoke integrations, and can be published as a standalone bot beyond Microsoft 365 apps.
Reference:
https://peafowlit.com/blog/microsoft-copilot-studio-vs-foundry-ai-agents
NEW QUESTION # 69
Your company sells hiking and camping gear online.
You need a generative AI solution that can interact with customers, ask questions about their needs, and escalate to a human agent if necessary.
What solution should you use?
Answer: B
Explanation:
Generative AI chatbots function as a primary point of contact in modern customer service, using natural language processing (NLP) and large language models (LLMs) to engage in human-like dialogue rather than following rigid, pre-programmed scripts.
Reference:
https://cobbai.com/blog/ai-chatbot-for-customer-service
NEW QUESTION # 70
- Select the answer that correctly completes the sentence.
When you use Microsoft 365 Copilot connectors to connect external content to __________, your users can find, summarize, and learn from line-of-business (LOB) data by using natural language prompts.
Answer:
Explanation:
Explanation:
Microsoft Graph
Microsoft 365 Copilot connectors (built on Microsoft Graph connectors) are used to bring external, line-of- business content into the Microsoft 365 ecosystem by ingesting it into Microsoft Graph . Once connected, the content can be indexed and made discoverable through Microsoft Search and available for Copilot experiences, enabling users to use natural language prompts to find and summarize relevant LOB information-subject to permissions and governance controls.
The other choices don't match how Copilot connectors are positioned. Azure AI Search is an Azure indexing
/retrieval service used in custom RAG solutions, but Microsoft 365 Copilot connectors are specifically designed to surface external content through Microsoft 365 experiences via Graph. Microsoft Purview focuses on data governance, compliance, and risk management rather than being the primary ingestion target for Copilot connector content. SharePoint can store content, but the connector model is about indexing external systems into Microsoft Graph so the content becomes searchable and usable across Microsoft 365, not merely placing it into SharePoint as the destination.
So the correct completion is Microsoft Graph because that is the foundational data and indexing fabric Copilot uses to reason over organizational content with appropriate permission trimming.
NEW QUESTION # 71
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