- A
Set temperature to 0 and top-k to 1
Why wrong: This makes the output deterministic and repetitive, the opposite of creative.
- B
Decrease temperature and increase top-k
Why wrong: Decreasing temperature reduces creativity, making outputs less varied.
- C
Increase temperature and adjust top-p to a higher value
Higher temperature increases randomness; higher top-p allows a wider pool of tokens, boosting creativity.
- D
Increase the context window length
Why wrong: Context window affects how much preceding text the model considers, not the randomness of token selection.
Question 815 of 997
Generative AI Leader Generative AI Concepts and Technologies Practice Question
This Generative AI Leader practice question tests your understanding of generative ai concepts and technologies. 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 company is using Gemini to generate marketing copy. They want the outputs to be more creative and varied. Which generation parameters should they adjust?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Increase temperature and adjust top-p to a higher value
Option C is correct because increasing temperature raises the randomness of token selection, making outputs more creative and varied, while adjusting top-p to a higher value (e.g., 0.9) allows the model to sample from a larger cumulative probability mass of likely tokens, further increasing diversity. Together, these parameters directly control the stochasticity of generation, which is essential for creative marketing copy.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Set temperature to 0 and top-k to 1
Why it's wrong here
This makes the output deterministic and repetitive, the opposite of creative.
- ✗
Decrease temperature and increase top-k
Why it's wrong here
Decreasing temperature reduces creativity, making outputs less varied.
- ✓
Increase temperature and adjust top-p to a higher value
Why this is correct
Higher temperature increases randomness; higher top-p allows a wider pool of tokens, boosting creativity.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the context window length
Why it's wrong here
Context window affects how much preceding text the model considers, not the randomness of token selection.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that increasing context length or adjusting a single parameter (like top-k) is sufficient for creativity, when in fact temperature and top-p must be increased together to achieve controlled randomness without generating gibberish.
Trap categories for this question
Command / output trap
This makes the output deterministic and repetitive, the opposite of creative.
Detailed technical explanation
How to think about this question
Temperature scales the logits before applying softmax: higher values (e.g., 1.5) flatten the probability distribution, making low-probability tokens more likely, while lower values (e.g., 0.2) sharpen it toward high-probability tokens. Top-p (nucleus sampling) dynamically selects the smallest set of tokens whose cumulative probability exceeds the threshold p (e.g., 0.9), ignoring the long tail of improbable tokens, which balances creativity with coherence. In practice, for marketing copy, a temperature of 0.7–1.0 combined with top-p of 0.9–1.0 is common to produce varied yet plausible outputs.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this Generative AI Leader question test?
Generative AI Concepts and Technologies — This question tests Generative AI Concepts and Technologies — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase temperature and adjust top-p to a higher value — Option C is correct because increasing temperature raises the randomness of token selection, making outputs more creative and varied, while adjusting top-p to a higher value (e.g., 0.9) allows the model to sample from a larger cumulative probability mass of likely tokens, further increasing diversity. Together, these parameters directly control the stochasticity of generation, which is essential for creative marketing copy.
What should I do if I get this Generative AI Leader question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 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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