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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q28-Q33):
NEW QUESTION # 28
You are tasked with creating a prompt template for generating environment descriptions in a generative AI model, which will be used for creating immersive virtual spaces.
Which of the following prompt best serves as a flexible template to generate diverse environment descriptions?
- A. "Write about a dense jungle where wild animals roam freely, and the atmosphere is tense, full of suspense."
- B. "Describe a futuristic city with towering skyscrapers and flying cars."
- C. "Describe an environment where {mood} dominates, with {surroundings} contributing to the overall {atmosphere}. Include {time_of_day} and any other important details."
- D. "Create a detailed description of a quiet forest during sunrise, focusing on the natural beauty of the trees, birds, and atmosphere."
Answer: C
NEW QUESTION # 29
You are working with a healthcare provider to deploy a generative AI model that assists in diagnosing patient conditions based on medical history and symptoms. The healthcare provider is concerned about ethical use, bias, and compliance with health data regulations such as HIPAA.
Which governance approach is the most critical to ensure both compliance and ethical AI deployment?
- A. Implement a bias detection framework to identify and mitigate any biases present in the model's outputs.
- B. Ensure data encryption during model inference to protect patient information from unauthorized access.
- C. Apply a federated learning approach to train the model without directly accessing the healthcare provider's patient data.
- D. Use a cloud-based infrastructure with HIPAA certification to deploy the model, ensuring compliance with healthcare regulations.
Answer: A
NEW QUESTION # 30
You are tasked with fine-tuning a pre-trained generative AI model for customer support automation. The goal is to enhance the model's performance in generating concise, relevant answers to frequently asked questions (FAQs). To do this, you need to optimize the prompt-tuning process.
Which two of the following techniques would be most effective for creating a prompt-tuned model for this purpose? (Select two)
- A. Limit the training data to 100 samples of FAQs to prevent overfitting and keep the prompt-tuning process computationally efficient.
- B. Use a large set of domain-specific FAQs and fine-tune the model using those examples, ensuring that prompts are tailored to each type of question.
- C. Shorten the prompts to the minimum number of words needed to address the FAQ directly, focusing on the key terms that drive the correct output.
- D. Introduce randomness in prompts by using variations in the wording for similar FAQs to improve the model's adaptability to different styles.
- E. Utilize reinforcement learning to penalize long or irrelevant responses during the tuning phase, optimizing the model for concise output.
Answer: B,C
NEW QUESTION # 31
You are tasked with integrating a generative AI model on watsonx.ai into a custom business workflow. The workflow requires complex prompt chains and interaction with external APIs.
Which of the following best describes how you should approach the integration using watsonx.ai and LangChain?
- A. Write custom scripts to manage all prompt sequences manually, leveraging watsonx.ai's SDK to call the generative AI model at every step.
- B. Use only watsonx.ai's built-in APIs and SDKs for integration, as LangChain is not required for chaining multiple prompts.
- C. Directly integrate the external APIs with watsonx.ai without any intermediate framework, since LangChain would add unnecessary overhead.
- D. Implement LangChain to handle complex multi-step workflows, using watsonx.ai's APIs to generate responses at specific stages in the chain.
Answer: D
NEW QUESTION # 32
You are tasked with securing an endpoint for a generative AI model that interacts with external applications.
Which of the following practices is MOST effective in ensuring both security and stability of the model's endpoint in a production environment?
- A. Allow all external applications unrestricted access to the endpoint to facilitate wider model usage.
- B. Focus exclusively on endpoint authentication without enforcing any rate limits to prevent user frustration.
- C. Limit the number of API calls per minute, restrict prompt lengths, and apply input validation to prevent malicious queries.
- D. Implement strict IP whitelisting and authentication, but allow unfiltered prompts for flexibility.
Answer: C
NEW QUESTION # 33
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