PassTIP는 여러분의 요구를 만족시켜드리는 사이트입니다. 많은 분들이 우리사이트의 it인증덤프를 사용함으로 관련it시험을 안전하게 패스를 하였습니다. 이니 우리 PassTIP사이트의 단골이 되었죠. PassTIP에서는 최신의Microsoft AB-731자료를 제공하며 여러분의Microsoft AB-731인증시험에 많은 도움이 될 것입니다.

Microsoft AB-731 시험요강:

주제	소개
주제 1	Identify an Implementation and Adoption Strategy for Microsoft's AI Apps and Services: Covers responsible AI principles, governance, and organizational adoption planning, including AI councils, champion programs, and an understanding of Copilot and Azure AI licensing models.
주제 2	Identify Benefits, Capabilities, and Opportunities for Microsoft's AI Apps and Services: Focuses on mapping Microsoft's AI ecosystem — including Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry Tools — to real business use cases, while leveraging built-in scalability, security, and safety benefits.
주제 3	Identify the Business Value of Generative AI Solutions: Covers core generative AI concepts, cost drivers, and business challenges, along with techniques like prompt engineering and RAG that enhance AI value through better data quality, security, and machine learning practices.

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AB-731시험패스 인증공부 - AB-731최신시험

IT인증시험에 도전해보려는 분들은 회사에 다니는 분들이 대부분입니다. 승진을 위해서나 연봉협상을 위해서나 자격증 취득은 지금시대의 필수입니다. PassTIP의Microsoft인증 AB-731덤프는 회사다니느라 바쁜 나날을 보내고 있는 분들을 위해 준비한 시험준비공부자료입니다. PassTIP의Microsoft인증 AB-731덤프를 구매하여 pdf버전을 공부하고 소프트웨어버전으로 시험환경을 익혀 시험보는게 두렵지 않게 해드립니다. 문제가 적고 가격이 저렴해 누구나 부담없이 애용 가능합니다. PassTIP의Microsoft인증 AB-731덤프를 데려가 주시면 기적을 안겨드릴게요.

최신 Agentic AI Business Solutions Architect AB-731 무료샘플문제 (Q70-Q75):

질문 # 70
Your company has a Microsoft 365 subscription and uses Microsoft 365 Copilot Chat. Some users need to build and use declarative agents that can access work data. Which type of license should you recommend for the users?

A. a Microsoft 365 Copilot add-on license
B. Microsoft Copilot Studio user license
C. a Copilot Chat pay-as-you-go plan

정답：A

설명：
The requirement is specific: users must build and use declarative agents that can access work data (tenant data
/ organizational context). Microsoft's licensing guidance for Copilot extensibility ties use of declarative agents to having the appropriate Copilot entitlement that enables tenant grounding and organizational data access. In Microsoft's cost and licensing considerations for declarative agents, Microsoft states that to use a declarative agent, users must have a Microsoft 365 Copilot add-on license (or an equivalent Copilot Chat add- on path tied to eligible licensing). Therefore, among the provided options, the best recommendation is A.
Option B (Copilot Studio user license) is primarily about authoring/building agents in Copilot Studio, but it is not, by itself, the licensing prerequisite that grants end users the right to use those agents with full Microsoft
365 Copilot capabilities and work-data grounding inside the Microsoft 365 Copilot environment. Publishing
/building can be separate from the end-user entitlement to use the agent with organizational context.
Option C (Copilot Chat pay-as-you-go) can enable usage-based access to declarative agents in some configurations, but the question asks for the best license recommendation for users who need work-data access through declarative agents. The Microsoft 365 Copilot add-on is the straightforward, fully supported entitlement for that scenario.

질문 # 71
Which business requirement most closely relates to grounding a generative AI model?

A. supporting multiple languages
B. measuring the number of user interactions per day
C. ensuring that verified company data sources are used for response generation
D. enabling users to interact by using natural language queries

정답：C

설명：
Ensuring that verified company data sources are used for response generation relates to grounding a generative AI model by anchoring its outputs in trusted, domain-specific, or enterprise-specific information. This process bridges the gap between the general knowledge a model has from its training data and the specific, up-to-date facts required for accurate, trustworthy business applications.
Reference:
https://decagon.ai/glossary/what-is-ai-grounding

질문 # 72
- Select the answer that correctly completes the sentence.
Using high-quality grounding data in a generative AI solution __________.

정답：

설명：

Explanation:
improves the accuracy and reliability of the predictions and outputs of AI.
High-quality grounding data improves a generative AI solution by anchoring responses to trusted, relevant, and up-to-date information , which increases the likelihood that outputs are accurate, consistent, and aligned with the organization's expectations. This is why the best completion is " improves the accuracy and reliability of the predictions and outputs of AI ." When the model is given authoritative context (for example, approved policy text, product specifications, knowledge base articles, or controlled enterprise content), it has less need to "guess" based on general patterns in its training data. That reduces hallucinations and improves response relevance to the user's question and the business domain.
It does not "ensure that all responses are factually accurate" because grounding reduces errors but cannot eliminate them completely-retrieval can return incomplete or irrelevant passages, user prompts can be ambiguous, and the model can still misinterpret context. It also does not inherently "increase performance of an AI model" in the sense of speed/throughput or model capability; grounding is an architecture and data strategy that improves output quality, not compute efficiency. Finally, grounding is not about "increasing storage required to host an AI model." While you may store documents in an index or repository, the core benefit is improved response quality through better context, not larger model hosting requirements.

질문 # 73
- For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

정답：

설명：

Explanation:
Answer Area
* Content filtering controls can prevent AI-generated responses from exposing confidential and sensitive information. Answer: Yes
* AI-generated content can unintentionally reveal sensitive information if the generative AI model has access to unsecured data sources. Answer: Yes
* To prevent data exposure, only the prompts used by users must be protected by using policies. Answer:
No
* Yes - Content filtering (and related safety controls) can help reduce the chance that responses contain policy-violating or sensitive outputs by detecting and blocking certain categories of content. While filtering is not a perfect guarantee, it is a recognized control to prevent or reduce exposure risk in outputs (for example, blocking regulated data patterns, disallowed content categories, or unsafe disclosures).
* Yes - If a model (or the solution's retrieval layer) can access poorly governed repositories-such as broadly shared folders, misconfigured SharePoint sites, or unsecured databases-then the system can surface sensitive information in responses even without malicious intent. This is why access control, data classification, and permission hygiene are critical prerequisites for deploying AI assistants grounded in organizational content.
* No - Protecting only user prompts is insufficient. Data exposure can occur through multiple paths:
retrieved documents, generated outputs, logs/telemetry, training/fine-tuning data, and connector/index configuration. Preventing exposure requires layered controls: data governance (labels, DLP, least privilege), secure connectors, output filtering, auditing, and user training-not prompt policy alone.

질문 # 74
An organization is exploring artificial intelligence solutions to automate content creation tasks such as drafting emails, generating marketing visuals, and producing software code suggestions.
Leadership wants to understand the core technology capability that enables these use cases.
Which of the following best describes generative AI?

A. A system that only classifies existing data into predefined categories
B. A technology that creates new content such as text, images, or code based on learned patterns
C. A database system designed to store unstructured data
D. A rules-based automation tool that follows fixed instructions

정답：B

설명：
A technology that creates new content such as text, images, or code based on learned patterns is correct because generative AI systems learn from large datasets and produce original outputs such as written content, visuals, audio, video, or code using models like large language models and diffusion models.
Reference:
https://learn.microsoft.com/en-us/training/modules/understand-foundations-generative-ai- business-leaders/1-introduction

질문 # 75
......

취직을 원하시나요? 승진을 원하시나요? 연봉인상을 원하시나요? 무엇을 원하시든 국제적으로 인정받은 IT인증자격증을 취득하는것이 길입니다. Microsoft인증 AB-731시험은 널리 인정받는 인기자격증의 시험과목입니다. Microsoft인증 AB-731시험을 패스하여 자격증을 취득하면 소원이 이루어집니다. PassTIP의Microsoft인증 AB-731덤프는 시험패스율이 높아Microsoft인증 AB-731시험준비에 딱 좋은 공부자료입니다. PassTIP에서 덤프를 마련하여 자격증취득에 도전하여 인생을 바꿔보세요.

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