OCI GenAI Pro Practice Questions - Oracle Cloud Infrastructure 2025 Generative AI Professional Exam - OCI GenAI Pro Practice Questions - Oracle Cloud Infrastructure 2025 Generative AI Professional Exam

Question 1

Which neural-network architecture forms the foundation of every modern large language model offered through OCI Generative AI?

Convolutional neural network Transformer Long short-term memory recurrent network Gradient-boosted decision tree

Correct Answer:

Transformer

Question 2

What is the role of the self-attention mechanism inside a Transformer decoder?

Replace the need for positional information in the sequence Compress the input into a fixed-length vector before any computation Let each token weight every other token in the context to build a contextual representation Apply convolutional filters across the embedding space

Correct Answer:

Let each token weight every other token in the context to build a contextual representation

Question 3

Which statement best describes the difference between encoder-only and decoder-only Transformer architectures?

Decoder-only models cannot be used for retrieval, only encoder-decoder models can Encoder-only models are always larger than decoder-only models Encoder-only models like BERT produce bidirectional embeddings; decoder-only models like Llama generate text autoregressively Encoder-only and decoder-only models share identical training objectives

Correct Answer:

Encoder-only models like BERT produce bidirectional embeddings; decoder-only models like Llama generate text autoregressively

Question 4

An LLM has a 128k token context window. Which statement is true?

Context window refers to the model's training corpus size Only the user prompt is limited to 128k tokens; the response can be unlimited The combined prompt plus generated response cannot exceed 128k tokens Tokens are equivalent to characters in this calculation

Correct Answer:

The combined prompt plus generated response cannot exceed 128k tokens

Question 5

Which tokenization scheme is most commonly used by modern LLMs such as the Cohere Command and Meta Llama families on OCI?

One-hot character encoding Whole-word tokenization Byte Pair Encoding (BPE) or a BPE-based variant Phoneme-level segmentation

Correct Answer:

Byte Pair Encoding (BPE) or a BPE-based variant

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Prepare with the OCI GenAI Pro Practice Questions - Oracle Cloud Infrastructure 2025 Generative AI Professional Exam practice quiz. This question bank includes 100 questions covering generative, model, chat, fine-tuning, and prompt. Use it to review important concepts, identify knowledge gaps, and build confidence for the related exam, course, or assessment.

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OCI GenAI Pro Practice Questions - Oracle Cloud Infrastructure 2025 Generative AI Professional Exam

This practice set contains 100 questions from the matching question bank and focuses on generative, model, chat, fine-tuning, and prompt. Work through each question carefully, review the provided solutions, and revisit topics that need more study before your next attempt.

This is an independent study resource intended for practice and review; it is not an official examination or an endorsement by any organization named in the title.

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OCI GenAI Pro Practice Questions - Oracle Cloud Infrastructure 2025 Generative AI Professional Exam

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