P.S.CertShikenがGoogle Driveで共有している無料の2026 Microsoft AB-731ダンプ：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT
我々CertShikenはご客様のすべての需要を満たさせるために、より良いサービスを提供します。あなたに相応しいAB-731問題集を購入できさせるには、Microsoftは問題集の見本を無料に提供し、あなたはダウンロードしてやることができます。あなたAB-731問題集を購入してから、一年間の無料更新サービスをていきょうします。購入意向があれば、CertShikenのホームページをご覧になってください。
| Section | Weight | Objectives |
|---|---|---|
| Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35–40% | - Microsoft AI ecosystem
|
| Identify the business value of generative AI solutions | 35–40% | - AI value identification
|
| Identify an implementation and adoption strategy for Microsoft AI apps and services | 20–25% | - AI adoption strategy
|
我々CertShikenは一番行き届いたアフタサービスを提供します。Microsoft AB-731試験問題集を購買してから、一年間の無料更新を楽しみにしています。あなたにMicrosoft AB-731試験に関する最新かつ最完備の資料を勉強させ、試験に合格させることだと信じます。もしあなたはAB-731試験に合格しなかったら、全額返金のことを承諾します。
質問 # 95
Select the answer that correctly completes the sentence.
Prompt engineering is the process of __________.
正解：
解説：
Explanation:
crafting clear instructions to guide generative AI solutions in generating context-appropriate content.
Prompt engineering is fundamentally about how you communicate intent to a generative AI model so it produces outputs that meet business expectations. The best completion is "crafting clear instructions to guide generative AI solutions in generating context-appropriate content" because it captures the practical, day-to- day discipline: shaping the input (prompt) with the right task framing, constraints, context, and output format.
In real deployments, prompt engineering includes specifying the role and objective (for example, "act as a customer support agent"), providing the necessary context (product details, policy excerpts, audience), adding explicit requirements (tone, length, must/must-not statements), and defining structured output (JSON fields, bullet sections, headings). It can also include adding examples (few-shot prompting), clarifying what to do when information is missing, and instructing the model to cite only provided sources or to ask follow-up questions. These techniques reduce ambiguity, improve consistency, and lower the risk of hallucinations or off-brand responses.
The other options are not accurate definitions. "Integrating AI-powered tools into business workflows" describes solution adoption/integration, not prompt engineering. "Identifying and fixing errors in AI- generated content" is review/editing or quality assurance. "Designing, developing, and training generative AI models" is model development/ML engineering. Prompt engineering operates without changing model weights ; it's about steering model behavior through well-constructed instructions and context.
質問 # 96
HOTSPOT - For each of the following statements, select Yes if the statement is true. Otherwise, select No .
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
The answer Area
* You can use Azure Language in Foundry Tools to analyze the sentiment of customer reviews. Answer:
Yes
* You can use Azure Language in Foundry Tools to translate internal reports into multiple languages.
The answer: No
* You can use Azure Language in Foundry Tools to extract text from scanned documents. Answer: No Azure Language is designed for natural language processing (NLP) over text that is already machine- readable. That includes capabilities like sentiment analysis , key phrase extraction, entity recognition, summarization, and classification. Therefore, statement 1 is Yes : sentiment analysis of customer reviews is a standard NLP workload where the service scores text as positive/negative/neutral (and often provides confidence scores), helping organizations quantify customer satisfaction and detect recurring issues.
Statement 2 is No because translation is typically handled by a dedicated translation capability (commonly delivered as a separate translator service) rather than the core "Language" NLP features. While translation is an AI language workload, it's not what the Azure Language service is primarily used for in this context; the expected Microsoft service choice for multi-language translation is the translator capability, not Azure Language.
Statement 3 is No because extracting text from scanned documents is OCR (optical character recognition), which is a computer vision/document processing function. OCR is delivered through Azure Vision and/or Azure Document Intelligence , which can read printed/handwritten text from images and PDFs and return structured output. Azure Language can analyze extracted text after OCR, but it does not perform the image-to- text extraction step itself.
質問 # 97
Your company is evaluating the use of Microsoft Copilot Studio to support business process automation and employee self-service.
Which two capabilities are directly supported in Copilot Studio? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
正解：D、E
解説：
Customizing agent behavior and responses - A core function of Copilot Studio. You define topics, instructions, conversational flows, tone, and responses to shape exactly how the agent behaves.
Building agents that connect to business data and automate user interactions - The central purpose of Copilot Studio: a low-code platform for building custom agents that connect to data sources (via connectors), trigger Power Automate flows, and automate self-service interactions for employees.
質問 # 98
- For each of the following statements, select Yes if the statement is true. Otherwise, select No . NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Answer Area
* Microsoft 365 Copilot enables users to search across emails, files, chats, meetings, and connected apps, by using natural language queries. Answer: Yes
* Microsoft 365 Copilot provides data protection, and helps ensure that user prompts and chat data are secure. Answer: Yes
* Microsoft 365 Copilot is included in all Microsoft 365 subscriptions. Answer: No
* Yes - Microsoft 365 Copilot is grounded in Microsoft 365 content through Microsoft Graph and is designed to help users find and summarize information across their work context (emails, files, chats, meetings). With extensions/connectors, Copilot can also incorporate information from connected apps, allowing users to query using natural language and get summarized, actionable outputs.
* Yes - A key enterprise benefit of Microsoft 365 Copilot is that it operates within the Microsoft 365 security, identity, and compliance boundary. It respects existing permissions (users only get content they are authorized to access) and supports organizational controls intended to protect prompts and generated content. This is part of the business value compared to consumer tools: IT can apply policies, auditing, and compliance controls to reduce data risk.
* No - Microsoft 365 Copilot is not automatically included in every Microsoft 365 subscription. In most business scenarios it is licensed as an add-on (or separate Copilot entitlement) for eligible Microsoft
365 plans, meaning it requires explicit licensing rather than being universally bundled with all subscriptions.
質問 # 99
- 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.
正解：
解説：
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.
質問 # 100
......
そんなに多くの人はMicrosoft AB-731試験に合格できるのに興味がわきますか。人に引けをとりたくないあなたはMicrosoft AB-731資格認定を取得したいですか。ここで、彼らはAB-731試験にうまく合格できる秘訣は我々社の提供する質高いMicrosoft AB-731問題集を利用したことだと教えます。弊社のMicrosoft AB-731問題集を通して復習してから、真実的に自分の能力の向上を感じ、AB-731資格認定を受け取ります。
AB-731一発合格: https://www.certshiken.com/AB-731-shiken.html
無料でクラウドストレージから最新のCertShiken AB-731 PDFダンプをダウンロードする：https://drive.google.com/open?id=1yeqViL9kQOq8RR-D3DCG7wY8OvyuTLXT