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Generative AI Leader Practice Question: A team is evaluating whether to build a custom…
A team is evaluating whether to build a custom fine-tuned model or use a pre-built API for a document summarization task. Which TWO factors most strongly support using a pre-built API?
⚠ Common exam trap
Candidates often overlook that high usage volume can make a custom model more economical at scale, but this question emphasizes that lack of ML expertise and time-to-market strongly favor using a pre-built API.
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
✓
The team lacks machine learning expertise to fine-tune a model
A pre-built API eliminates the need for in-house machine learning expertise, as the team can simply call the API endpoint without managing model training, hyperparameter tuning, or infrastructure. This is especially critical when the team lacks the specialized skills required for fine-tuning, such as data preparation, gradient computation, and evaluation on domain-specific metrics like ROUGE.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The summarization domain is very specialized and requires unique terminology
Why it's wrong here
Specialized domains often require fine-tuning for accuracy.
- ✓
The team lacks machine learning expertise to fine-tune a model
Why this is correct
Pre-built APIs require no ML expertise, reducing time and risk.
- ✗
The expected usage volume is millions of API calls per day
Why it's wrong here
High volume may favor fine-tuning to reduce per-call cost.
- ✗
The company has strict data residency requirements that prevent sending data to an API
Why it's wrong here
Data residency may require on-premises or custom deployment.
- ✓
The company needs to launch the feature in two weeks
Why this is correct
Pre-built APIs enable rapid integration, meeting tight deadlines.
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About these practice questions
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.