Quick Answer
The answer is temperature and top-k. These two parameters directly control the creativity and randomness of text generation by influencing how the model selects the next token in a sequence. Temperature scales the probability distribution of token choices: a higher temperature (e.g., 1.0) flattens the distribution, making less likely words more probable and thus increasing creativity, while a lower temperature (e.g., 0.2) sharpens it, favoring the most likely tokens for more deterministic output. Top-k, on the other hand, limits the model’s selection pool to only the k most probable next tokens, cutting off the long tail of unlikely options to balance coherence with variety. On the Google Cloud Generative AI Leader exam, this question tests your understanding of core model configuration for the Gemini API, often appearing as a straightforward multiple-select item where distractors like “color space” or “image size” are clearly irrelevant for text tasks. A common trap is confusing top-k with top-p (nucleus sampling), so remember: top-k is a fixed cutoff, top-p is a cumulative probability threshold. Memory tip: think of temperature as the “risk dial” and top-k as the “candidate gate” for creative output.
This Generative AI Leader practice question tests your understanding of google cloud's generative ai offerings. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A developer wants to use the Gemini API to generate creative text. Which TWO parameters can they adjust to influence the output?
Color space
Why wrong: Color space is for images.
Audio sample rate
Why wrong: Audio sample rate is for audio processing.
Top-k
Top-k limits the vocabulary sampled.
Image size
Why wrong: Image size is for image generation.
Temperature
Temperature controls randomness.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Top-k
Temperature and top-k are standard parameters to control randomness and creativity. Color space, image size, and audio sample rate are not relevant for text generation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Color space
Why it's wrong here
Color space is for images.
Audio sample rate
Why it's wrong here
Audio sample rate is for audio processing.
Top-k
Why this is correct
Top-k limits the vocabulary sampled.
Related concept
Read the scenario before looking for a memorised answer.
Image size
Why it's wrong here
Image size is for image generation.
Temperature
Why this is correct
Temperature controls randomness.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which Generative AI Leader exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Google Cloud's Generative AI Offerings — This question tests Google Cloud's Generative AI Offerings — Read the scenario before looking for a memorised answer..
The correct answer is: Top-k — Temperature and top-k are standard parameters to control randomness and creativity. Color space, image size, and audio sample rate are not relevant for text generation.
Identify which Generative AI Leader exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 23, 2026
This Generative AI Leader practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the Generative AI Leader exam.
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