結果として、AB-731の質問トレントはユーザーレベルのニーズに合わせて調整され、文化レベルは不均一であり、大学生が学校に多く、労働者に多くの仕事があり、さらには教育レベルが低い人もいます。オフなので、ユーザーのさまざまなレベルの違いに適応するために、テキスト情報の表現に特に焦点を当てた教材を作成するときにAB-731試験の質問が行われるため、AB-731学習ガイドの内容を理解できますAB-731試験に簡単に合格します。
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あなたはIT業界の玄人になりたいですか？ここでMicrosoft AB-731認定試験の問題集をお勧めます。AB-731認定試験の問題集は大勢の人の注目を集め、とても人気がある商品です。AB-731認定試験の問題集はなぜそんなに人気がありますか？AB-731認定試験の問題集は最も全面的なIT知識を提供できるからです。では、躊躇しなくて、Microsoft AB-731認定試験の問題集を早く購入しましょう！
質問 # 103
Hotspot Question
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
Box: crafting clear instructions to guide generative AI solutions in generating context-appropriate content.
Prompt engineering is the process of ___________________.
Prompt engineering is the process of crafting, evaluating, and improving prompts to gain more accurate outputs from an AI model. Factors that improve prompts include the LLM's preferred format, specificity of language, appropriately identifying the audience's expectations, and making function calls for external data.
At its core, prompt engineering is about reducing ambiguity so the model doesn't have to "guess" what you want. It's the bridge between a vague idea and a high-quality output.
Beyond just clarity, modern prompting often involves specific frameworks like Chain-of-Thought (asking the AI to think step-by-step) or Few-Shot Prompting (providing examples) to significantly improve reasoning and accuracy.
Reference:
https://www.linkedin.com/pulse/using-prompt-engineering-optimize-genai-models-iabac-nfa9c
質問 # 104
What is a key feature of Microsoft 365 Copilot that aligns with the Microsoft responsible AI principles of transparency, reliability, and safety?
正解：A
解説：
By using Retrieval-Augmented Generation (RAG), Microsoft 365 Copilot ensures that its responses are not just creative guesses, but are anchored in your specific organizational context-
-such as your emails, documents, and chats.
This "grounding" process is fundamental because it:
Reduces Hallucinations: It prioritizes your data over general internet knowledge.
Ensures Permissioning: It only accesses data the specific user already has the right to see.
Maintains Transparency: It typically provides citations so you can verify the source of the information.
Reference:
https://medium.com/@praneetsy/rag-in-microsoft-365-copilot-how-retrieval-makes-ai-business-aware-e77f8ee77c7c
質問 # 105
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.
正解：
解説：
Explanation:
Box 1: Yes
Prompt engineering is the practice of designing, structuring, and refining text inputs given to a generative AI model. By providing explicit constraints, formatting parameters, and guidelines, it directly steers the model to yield highly accurate and relevant output.
Box 2: No
The part of the prompt that includes examples to demonstrate the desired output structure or style is called Examples (often referred to in context as few-shot examples or learning data). The Instruction is the specific task, command, or action you want the model to perform (e.g.,
"Summarize this document" or "Translate the text").
Box 3: Yes
The Context provides background data, domain-specific details, situational boundaries, or source documents (such as grounding data) that the model must reference or operate within to formulate a targeted and contextualized response.
質問 # 106
Hotspot Question
Select the answer that correctly completes the sentence.
正解：
解説：
Explanation:
Box: uses structured data and provides insights by using text, charts, tables, and other visuals.
The Analyst agent in Microsoft 365 Copilot _______________.
The Analyst agent in Microsoft 365 Copilot is a specialized, AI-powered "virtual data scientist" designed to transform raw, structured data into actionable insights, utilizing text, tables, charts, and graphs to present findings.
It is designed to work with structured data sources, including Excel files, CSVs, tables, and databases, to help users analyze data without needing advanced data science expertise.
Reference:
https://blog.storyals.com/sv/meet-your-new-ai-teammates-researcher-analyst
質問 # 107
- What should you use for each task? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
正解：
解説：
Explanation:
Answer Area
* Extracting structured data from forms and invoices: Answer: Azure Document Intelligence in Foundry Tools
* Summarizing written content from business reports: Answer: Azure Language in Foundry Tools
* Generating descriptive text for uploaded images: Answer: Azure Vision in Foundry Tools These three tasks align to three different Azure AI capability families: document processing, language understanding/generation, and computer vision.
* Forms and invoices are semi-structured documents where the business need is to extract specific fields (IDs, names, totals, dates) reliably into structured output. Azure Document Intelligence is designed for intelligent document processing and includes prebuilt models (such as invoices) as well as custom extraction options, making it the correct choice for structured data extraction from documents.
* Summarizing written business reports is an NLP task focused on compressing long text into key points, themes, and action items. Azure Language provides language processing capabilities (including summarization features within language service capabilities), so it is the best fit for summarization scenarios.
* Generating descriptive text for images (image captioning/description) is a computer vision task.
Azure Vision can analyze uploaded images and return descriptions/captions and other visual insights, which directly matches the requirement to produce descriptive text from images.
質問 # 108
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