Free Microsoft AB-730日本語 Practice Test & Real Exam Questions

Explanation:

Microsoft 365 Copilot in Teams relies heavily on meeting transcripts to provide post-meeting intelligence such as summaries, key points, decisions, and action items. The transcript serves as the structured textual data that Copilot analyzes to understand what was discussed during the meeting.
The feature commonly referred to as recap or intelligent recap is generated based on this transcript. Without transcription enabled, Copilot lacks the necessary detailed conversation data to accurately reconstruct the meeting content. As a result, generating a recap of what was discussed is only possible when a transcript is available.
Other options such as scheduling a follow-up meeting or identifying attached content do not depend on transcription, as they rely on calendar data or meeting metadata rather than conversational analysis. However, summarization and recap capabilities are directly tied to the transcript.
Therefore, the correct completion is generate a recap of what was discussed during the meeting , as this action specifically requires the meeting to be transcribed.

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Explanation:

The correct completion is "cannot modify the settings of" because built-in agents such as the Researcher agent in Microsoft 365 Copilot are system-defined experiences. These agents are designed and managed by Microsoft to ensure consistent functionality, security, compliance, and alignment with responsible AI standards.
While users can interact with Researcher, provide prompts, and refine outputs during conversations, they cannot directly modify the core system settings or configuration of the built-in agent from Microsoft 365.
Administrative configuration and deeper customization are available when creating custom Copilot agents through approved development tools, but default Microsoft-provided agents have controlled configurations.
Options such as modifying agent instructions, adding prompts, or deleting suggested prompts imply direct structural customization of the built-in agent interface, which is not supported in the standard Microsoft 365 Copilot experience.
This reflects a key generative AI governance principle in enterprise environments: system-level controls remain centrally managed to maintain data protection, compliance, and responsible AI implementation across the organization.

Explanation:

When creating an agent in the Microsoft 365 Copilot app using a template, administrators or authorized users can configure specific behaviors and knowledge sources for the agent. Therefore, it is correct that you can choose which knowledge sources the agent can use. This ensures proper grounding in approved Microsoft 365 data such as SharePoint sites, OneDrive folders, or other organizational repositories. Controlling knowledge sources supports responsible AI principles, including data security, relevance, and compliance.
Agents created within Microsoft 365 are designed primarily for internal organizational use. As a result, sharing the agent with users inside the organization is supported, enabling collaboration and productivity improvements across teams.
However, sharing the agent with external users is not supported by default. External sharing would introduce security and compliance risks, so Microsoft enforces tenant-level boundaries to protect enterprise data.
These capabilities reflect best practices in managing AI prompts and agents securely within enterprise environments.

Explanation:

Use the Analyst agent for Prompt 1 because it is optimized for structured data work: consolidating worksheets, performing calculations, sentiment breakdowns by category (product line), and producing visualizations. These tasks align with analysis-style workflows where quantitative processing and charting are required.
Use the Researcher agent for Prompt 2 because it is designed to synthesize information from multiple sources, including SharePoint content plus web grounding , and to produce a well-structured brief with citations . Researcher is best when you need evidence-backed insights, reputable sourcing, and an organized narrative with risks and gaps.
Use Chat for Prompt 3 because the goal is drafting a refined executive email based on an attached document with tone control and communication standards. Chat excels at business writing, rewriting, tone adjustment, and producing polished communications without needing the deeper research workflow or heavy data analytics specialization.

Explanation:

Prompt injection is a generative AI security risk where an attacker inserts instructions (often hidden in text, documents, webpages, or user inputs) to override or manipulate the assistant's intended behavior. This can lead to unintended actions such as ignoring policy controls, producing unsafe outputs, or attempting to reveal sensitive information. Because generative AI systems follow natural-language instructions, they can be socially engineered to prioritize malicious content unless safeguards are in place. This is why prompt injection can cause data exposure (for example, attempting to extract confidential content from grounded sources) and can also embed harmful instructions that redirect the model's behavior. In enterprise settings like Microsoft
365 Copilot, mitigations include grounding boundaries, permission trimming, content filtering, and instruction hierarchy (system policies over user instructions). From a business governance perspective, users should treat untrusted inputs (emails, documents, web text) as potentially hostile and apply least-privilege access and validation when using AI outputs in decision-making.

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