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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q245-Q250):

NEW QUESTION # 245
You are tasked with integrating third-party embedding models into a Retrieval-Augmented Generation (RAG) system for document retrieval. Several models offer pre-trained embeddings that can be leveraged for a variety of downstream tasks.
Which of the following third-party models is designed for generating embeddings that capture semantic meaning and context, making it ideal for a RAG-based GenAI system?

A. Naive Bayes Classifier
B. GPT-3 Embeddings
C. WordNet
D. BERT

Answer: D

NEW QUESTION # 246
When optimizing a prompt-tuned model, which parameter adjustment would most likely help prevent overfitting without negatively impacting the model's ability to generalize to unseen prompts?

A. Reducing the model's learning rate
B. Increasing the model's dropout rate
C. Removing weight decay entirely
D. Increasing the model's learning rate

Answer: B

NEW QUESTION # 247
What is a key advantage of using prompt variables in IBM Watsonx for a chatbot application that needs to handle multiple user intents?

A. Prompt variables allow the model to automatically detect the user's intent, ensuring accurate responses.
B. Prompt variables enable developers to predefine multiple static responses for each possible user input.
C. Prompt variables allow for the dynamic injection of user-specific details into the response, improving personalization.
D. Using prompt variables ensures that the model will always select the most relevant response based on past conversations.

Answer: C

NEW QUESTION # 248
While working with IBM Watsonx to generate synthetic data, you import a sensitive dataset containing personally identifiable information (PII). You are tasked with anonymizing the imported data before proceeding with any fine-tuning or data augmentation.
Which of the following steps is the most appropriate to ensure proper anonymization?

A. Apply a differential privacy algorithm that ensures no individual data point can be traced back to a specific user.
B. Use a hashing algorithm to replace PII fields while retaining the ability to reverse the process if needed.
C. Randomly shuffle the sensitive data fields to prevent direct re-identification.
D. Generate a synthetic version of the dataset that removes all PII automatically.

Answer: A

NEW QUESTION # 249
A generative AI model is given the following prompt: "Translate the following sentence into French: 'The sun is shining brightly today.'" No additional context or examples are provided.
This is an example of which type of prompting and why is it likely to succeed?

A. Zero-shot prompting, but it will likely fail since translation tasks always need examples for accuracy.
B. Few-shot prompting, because the task requires translation examples to guide the model.
C. Zero-shot prompting, but it will only succeed if the prompt includes a few additional translation examples.
D. Zero-shot prompting, because the model is expected to perform the task without any example.

Answer: D

NEW QUESTION # 250
......

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