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| Section | Weight | Objectives |
|---|---|---|
| Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Understand agent use cases and types |
| Implement generative AI solutions | 15-20% | - Integrate Azure OpenAI and other generative models - Deploy and manage generative models - Apply prompt engineering and fine-tuning - Orchestrate multiple models and containers - Implement model monitoring and feedback |
| Implement computer vision solutions | 10-15% | - Analyze images and detect objects/features - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images - Process and index video content |
| Plan and manage an Azure AI solution | 20-25% | - Select appropriate Microsoft Foundry Services - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Select suitable AI models - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Create and configure Azure AI resources |
| Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Ingest and process structured/unstructured data - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases |
| Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Implement translation and summarization - Build conversational AI and chatbots |
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NEW QUESTION # 82
You are developing a new sales system that will process the video and text from a public-facing website.
You plan to monitor the sales system to ensure that it provides equitable results regardless of the user ' s location or background.
Which two responsible AI principles provide guidance to meet the monitoring requirements? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
Comprehensive Detailed Explanation
The question focuses on monitoring a public-facing sales system that processes video and text, ensuring that the system provides equitable results regardless of user location or background.
Two Microsoft Responsible AI principles apply directly here:
Fairness
AI systems should treat all people fairly and avoid bias.
Monitoring ensures that outcomes do not disadvantage people based on location, background, or demographics.
This directly addresses the requirement for equitable results.
Inclusiveness
AI systems should empower everyone and engage people of all backgrounds.
Monitoring for inclusiveness ensures that the system works well across different regions, languages, and cultures, making the system accessible and beneficial for all users.
Why not the other options?
A). Transparency
Important for explaining how AI systems work, but does not directly address equitable results across demographics.
D). Reliability and safety
Focuses on consistent and safe system operation, not equity across users.
E). Privacy and security
Critical for data protection, but not related to equitable treatment of users.
The Answer:
B). fairness
C). inclusiveness
Microsoft References
Microsoft Responsible AI Principles
Fairness in AI systems
Inclusiveness in AI systems
NEW QUESTION # 83
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation
NEW QUESTION # 84
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 85
You develop a Conversational Language Undemanding model by using Language Studio During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model.
You need to ensure that the model identifies spurious requests.
What should you do?
Answer: B
Explanation:
* The None intent is a built-in intent in CLU/Language Understanding models.
* It is used to capture queries that don't match any of the defined intents.
* By adding representative irrelevant utterances to the None intent, the model learns how to reject spurious queries.
The answer: C
Reference: None intent in CLU
NEW QUESTION # 86
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named get_text_to_be_translated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 87
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