PASS GUARANTEED QUIZ C1000-185 - IBM WATSONX GENERATIVE AI ENGINEER - ASSOCIATE MARVELOUS TORRENT

Pass Guaranteed Quiz C1000-185 - IBM watsonx Generative AI Engineer - Associate Marvelous Torrent

Pass Guaranteed Quiz C1000-185 - IBM watsonx Generative AI Engineer - Associate Marvelous Torrent

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IBM watsonx Generative AI Engineer - Associate Sample Questions (Q363-Q368):

NEW QUESTION # 363
You are working with IBM Watsonx to generate automated customer support responses. To ensure consistency and flexibility in responses across multiple product categories, you decide to use prompt variables.
Which of the following best describes the benefits of using prompt variables in this scenario?

  • A. They allow for dynamic input fields in prompts, making it easier to tailor responses for different product categories without rewriting the entire prompt.
  • B. They ensure that the AI generates responses with consistent tone and personality across all prompts, regardless of product category.
  • C. They enable the AI to better predict the intent of the customer query, reducing the need for explicit customer input.
  • D. They automatically improve the accuracy of the AI's responses by allowing the system to learn from each generated prompt.

Answer: A


NEW QUESTION # 364
You are working on generating creative text responses using IBM watsonx's generative AI model. You need to adjust the output so that it is more diverse and creative without losing coherence.
Which of the following model parameter settings would best achieve this objective?

  • A. Set temperature to 1.5
  • B. Set temperature to 2
  • C. Set temperature to 0.2
  • D. Set temperature to 0

Answer: A


NEW QUESTION # 365
A team is implementing a Retrieval-Augmented Generation (RAG) system for document search and retrieval. Their goal is to enable users to retrieve contextually relevant documents from a large, unstructured text corpus. They are considering using a vector database to handle this task.
In which scenario is a vector database the most appropriate choice for storing and retrieving documents?

  • A. When exact match search is required, such as finding documents containing specific keywords or phrases.
  • B. When the system must support real-time updates and frequent data modifications, ensuring that query results always reflect the latest state of the data.
  • C. When all documents are structured and can be queried using traditional SQL queries, focusing on specific fields and categories.
  • D. When documents need to be retrieved based on semantic similarity to the user's query, even if the exact terms are not matched.

Answer: D


NEW QUESTION # 366
In the context of sampling decoding for IBM Watsonx Generative AI, which of the following statements best describes how top-k sampling works?

  • A. Top-k sampling ensures that the next token is chosen only if it matches one of the predefined input variables.
  • B. Top-k sampling selects the next token only from the top k most probable tokens based on their probabilities.
  • C. Top-k sampling selects the token with the highest probability, ignoring all other token options.
  • D. Top-k sampling automatically filters out low-probability tokens that were not part of the model's training set.

Answer: B


NEW QUESTION # 367
In the context of the decoding process for generative AI models in IBM Watsonx, what is the main characteristic of greedy decoding?

  • A. Greedy decoding always selects the token with the lowest probability to encourage diversity in the generated response.
  • B. Greedy decoding generates multiple possible sequences and selects the most grammatically correct one based on predefined rules.
  • C. Greedy decoding selects the highest probability token at each step, leading to deterministic and often coherent outputs.
  • D. Greedy decoding alternates between high and low probability tokens, ensuring a balance between creativity and correctness.

Answer: C


NEW QUESTION # 368
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