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NEW QUESTION # 94
Select the answer that correctly completes the sentence.
When a generative AI model produces output that seems realistic but contains incorrect information, the behavior is known as __________.
Answer:
Explanation:
Explanation:
model inaccuracy
The scenario describes a model producing plausible-sounding content that is factually wrong -a common generative AI failure mode often referred to as a "hallucination." Since "hallucination" is not offered in the dropdown, the best matching choice is model inaccuracy because the core problem is that the model's output is incorrect even though it appears confident and coherent.
The other options do not fit the definition of the behavior: data leakage is about sensitive information being exposed (for example, proprietary prompts, secrets, or personal data). Prompt injection is an attack technique where a user tries to override system instructions or cause unsafe actions. Overreliance describes a human
/organizational risk -trusting the model too much-rather than the model's intrinsic behavior of generating incorrect facts. Overreliance can be a consequence of this behavior, but it is not what the behavior itself is called.
In practice, you mitigate this kind of inaccuracy by grounding responses in trusted sources (for example, RAG), constraining prompts with explicit requirements, using verification steps (citations, cross-checking, tool-based validation), and adding human review for high-impact use cases.
NEW QUESTION # 95
Your company sells hiking and camping gear online.
You need a generative AI solution that can interact with customers and ask questions about their needs.
What should you include in the solution?
Answer: A
Explanation:
In the evolving landscape of online retail, a generative AI solution typically takes the form of an AI Shopping Assistant or Conversational Agent. Unlike traditional, rule-based chatbots that follow rigid "yes/no" decision trees, these advanced solutions use Natural Language Processing (NLP) and Large Language Models (LLMs) to hold human-like, two-way dialogues.
Core Capabilities for Customer Interaction
To effectively assess customer needs, a generative AI solution should include:
Proactive Discovery Questions: Instead of waiting for a search query, the assistant can initiate the conversation with open-ended questions like, "What are you looking for today?" or "Is this gift for you or someone else?" to narrow down options.
Contextual Probing: If a customer's response is vague (e.g., "comfortable shoes"), the AI can ask clarifying follow-up questions to understand specific requirements for fit, material, or use case.
Personalized Recommendations: By analyzing real-time behavior, past purchases, and current session data, the AI generates tailored suggestions that act as a digital sales associate.
24/7 Multi-Channel Support: These agents provide instant assistance across websites, mobile apps, and social platforms like WhatsApp or Facebook Messenger, regardless of business hours.
Reference:
https://www.cognigy.com/blog/ai-chatbots-for-e-commerce
NEW QUESTION # 96
You are exploring how Microsoft 365 Copilot uses Microsoft Graph to deliver AI-powered experiences.
Which information in Microsoft Graph can Copilot use by default?
Answer: C
Explanation:
Microsoft 365 Copilot is designed to work within the Microsoft 365 ecosystem and use organizational context that is already governed by Microsoft Entra ID, Microsoft 365 permissions, and compliance controls. By default, Copilot can use Microsoft Graph signals and content that exist in Microsoft 365 workloads the user already has access to-most commonly emails, files, meetings, and chats . That corresponds to A .
The key concept is permission-trimming: Copilot doesn't magically gain access to everything; it can only surface or use data that the signed-in user is permitted to access in Microsoft 365. This is what makes Copilot valuable for productivity scenarios-summarizing email threads, drafting replies, generating meeting recaps, creating documents from your files, or pulling context from Teams chats-because those artifacts are already part of daily work and already subject to tenant policies.
The other options are not "by default" Microsoft Graph content for Copilot: B (file shares) typically requires additional integration or migration into Microsoft 365 repositories or indexing via connectors; it's not inherently available. C is unrelated to Microsoft 365 tenant work data. D (public web) is not "information in Microsoft Graph"; web grounding is a separate capability and not the default Graph workload data source referenced here.
NEW QUESTION # 97
Your company manages a website that publishes daily news articles.
You need to recommend an AI solution that can analyze text and identify the main people, locations, and companies mentioned in the articles.
What should you include in the recommendation?
Answer: C
Explanation:
Azure Language in Foundry Tools can analyze text and identify main entities, including people, locations, and companies. This capability is officially known as Named Entity Recognition (NER).
Reference:
https://azure.microsoft.com/en-us/products/ai-foundry/tools/language
NEW QUESTION # 98
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 99
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