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IBM C1000-185 Exam Syllabus Topics:

IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. You are tasked with integrating watsonx.ai into a legacy system that operates over HTTP and requires strict security and monitoring of the API calls. The legacy system lacks modern authentication mechanisms like OAuth.
Which integration method would best suit the needs of this environment while ensuring security and efficient API management?

A) Use a REST API with OAuth authentication and token management to secure the communication.
B) Directly embed the watsonx.ai SDK into the legacy system to handle API management and security, eliminating the need for external API calls.
C) Implement a GraphQL API to allow the legacy system to query specific fields and reduce payload size, thereby improving efficiency.
D) Use REST API with API key-based authentication, leveraging HTTPS for encrypted communication between the legacy system and watsonx.ai.

2. You are tasked with fine-tuning a language model using a prompt-tuning approach on a dataset consisting of customer service chat logs. The goal is to optimize the model's ability to generate polite and contextually appropriate responses.
Which of the following steps are essential when preparing the dataset for prompt-tuning in this context? (Select two)

A) Ensure each conversation includes both customer input and agent response as context for the model.
B) Convert all user queries into lowercase to reduce noise in the dataset.
C) Ensure all examples in the dataset follow the exact same input-output format.
D) Separate the dataset into training, validation, and test subsets.
E) Remove any conversations that contain excessive user slang or misspellings.

3. You are using IBM Watsonx to generate answers for a customer service chatbot. However, the responses generated sometimes include fabricated details that are inaccurate (hallucinations).
Which of the following strategies will best mitigate the risk of hallucination when designing your prompt?

A) Use subjective language in your prompts: ":Can you describe why our product is the best on the market?"
B) Ask open-ended questions without providing reference information: "What are the latest features of our product?"
C) Rely on the AI model to fact-check and correct hallucinations in its responses automatically: "What can you tell me about our product?"
D) Supply explicit product details and constraints in the prompt: "List the latest features of the XYZ smartphone released in 2024, including its AI-powered camera and battery-saving mode."

4. In the context of IBM Watsonx and generative AI models, you are tasked with designing a model that needs to classify customer support tickets into different categories. You decide to experiment with both zero-shot and few-shot prompting techniques.
Which of the following best explains the key difference between zero-shot and few-shot prompting?

A) Zero-shot prompting provides the model with a few example tasks to help it understand the problem, while few-shot prompting provides no examples at all.
B) Zero-shot prompting does not use any examples in the input prompt, while few-shot prompting includes a few examples to guide the model.
C) Few-shot prompting is used only for training the model, while zero-shot prompting is used only for inference tasks.
D) In zero-shot prompting, the model learns from a large number of examples during the inference stage, while in few-shot prompting, only a single example is used.

5. You are tasked with designing a prompt using a few-shot strategy for Watsonx AI to generate a legal contract summary. You provide two examples of contract summaries before asking the model to summarize a new contract.
Which of the following options best demonstrates an effective few-shot prompt for this task?

A) "Example 1: [First Contract] Summary: [First Contract Summary]
Example 2: [Second Contract] Summary: [Second Contract Summary]
Generate a summary of the following contract: [New Contract]."
B) "Provide a summary of the following contract: [New Contract].
Example 1: [First Contract]
Summary: [First Contract Summary]
Example 2: [Second Contract]
Summary: [Second Contract Summary]."
C) "Example 1: [First Contract]
D) "Generate a summary for [New Contract]."

Solutions: