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IBM C1000-185 Exam Syllabus Topics:

IBM watsonx Generative AI Engineer - Associate Sample Questions:

1. A machine learning engineer is optimizing a generative AI model for creative writing. They are debating the use of soft prompts over hard prompts.
What is the primary advantage of using soft prompts in this context, despite their complexity?

A) Soft prompts enforce stricter generation outputs due to the deterministic nature of the learned embeddings, leading to higher consistency in results.
B) Soft prompts provide more direct control over the model's behavior by offering explicit, human-readable instructions.
C) Soft prompts allow for more nuanced control of the model's behavior through learned embeddings, which can adapt to a variety of tasks without requiring explicit human intervention.
D) Soft prompts improve the simplicity of the model's overall structure, making it easier to debug and interpret the generation process.

2. In the context of Generative AI (GenAI), various embedding models are used to represent textual data.
Which of the following best describes the difference between Word2Vec, BERT, and Sentence-BERT embedding models?

A) Word2Vec captures both word and sentence meanings in a single vector space, BERT generates only word embeddings, and Sentence-BERT generates embeddings for entire documents.
B) Word2Vec uses a transformer architecture for embedding generation, whereas BERT and Sentence-BERT use neural networks to model context.
C) Word2Vec creates static word embeddings, BERT generates dynamic embeddings based on context, and Sentence-BERT produces embeddings specifically optimized for sentence-level tasks like semantic similarity.
D) Word2Vec captures contextual relationships between words, while BERT and Sentence-BERT generate sentence-level embeddings based on the overall document length.

3. 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 does not use any examples in the input prompt, while few-shot prompting includes a few examples to guide the model.
B) Few-shot prompting is used only for training the model, while zero-shot prompting is used only for inference tasks.
C) 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.
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.

4. In a RAG system, you need to select an appropriate retriever to fetch relevant documents from a large corpus before generating an answer. You are considering different types of retrievers, including embedding-based and keyword-based retrievers.
Which of the following describes a scenario where an embedding-based retriever using a vector database is the best choice?

A) When documents are labeled with metadata, and only metadata needs to be searched
B) When most of the queries consist of structured queries with precise Boolean operators and relational database-style searches
C) When retrieval must rely on semantic similarity between a query and documents, even if the exact words in the query don't appear in the document
D) When exact keyword matching is required, and synonyms or contextual understanding are irrelevant

5. 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) "Create a detailed description of a quiet forest during sunrise, focusing on the natural beauty of the trees, birds, and atmosphere."
B) "Write about a dense jungle where wild animals roam freely, and the atmosphere is tense, full of suspense."
C) "Describe a futuristic city with towering skyscrapers and flying cars."
D) "Describe an environment where {mood} dominates, with {surroundings} contributing to the overall {atmosphere}. Include {time_of_day} and any other important details."

Solutions: