AIF-C01 Practice Question: A data science team is evaluating the output…
This AIF-C01 practice question tests your understanding of aif-c01 exam topics. 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 data science team is evaluating the output quality of a text generation model. They want to use both automated metrics and human judgment. Which THREE approaches should they include in their evaluation strategy? (Select THREE.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Conduct human evaluation with a rating rubric
ROUGE/BLEU are automated metrics; human evaluation with rubric provides qualitative assessment; task‑specific benchmarks measure performance on curated test sets. Perplexity is a training metric, not for evaluating output quality. Latency is a performance metric, not quality.
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.
✓
Conduct human evaluation with a rating rubric
Why this is correct
Human evaluators score outputs on criteria like fluency, relevance, and accuracy using a standardized rubric.
Related concept
Read the scenario before looking for a memorised answer.
✗
Measure inference latency under load
Why it's wrong here
Latency measures speed, not output quality.
✗
Compute perplexity on the generated text
Why it's wrong here
Perplexity measures how well the model predicts a sample, not the quality of the generated output for a given task.
✓
Use ROUGE or BLEU scores against reference texts
Why this is correct
ROUGE and BLEU are automated metrics that compare generated text to reference summaries/translations.
Related concept
Read the scenario before looking for a memorised answer.
✓
Run the model on a task‑specific benchmark dataset
Why this is correct
Benchmark datasets provide ground‑truth labels for automated evaluation of task performance (e.g., accuracy, F1).
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Trap categories for this question
Command / output trap
Latency measures speed, not output quality.
Detailed technical explanation
How to think about this question
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.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which AIF-C01 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.
What is the correct answer to this question?
The correct answer is: Conduct human evaluation with a rating rubric — ROUGE/BLEU are automated metrics; human evaluation with rubric provides qualitative assessment; task‑specific benchmarks measure performance on curated test sets. Perplexity is a training metric, not for evaluating output quality. Latency is a performance metric, not quality.
What should I do if I get this AIF-C01 question wrong?
Identify which AIF-C01 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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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