- A
0.800
Why wrong: 0.80 is recall, not F1.
- B
0.774
Calculated F1 = 2 * (0.75 * 0.80) / (0.75 + 0.80) = 0.774.
- C
0.750
Why wrong: 0.75 is precision, not F1.
- D
0.823
Why wrong: Incorrect calculation.
Question 395 of 1,000
AIF-C01 AI and ML Fundamentals Practice Question
This AIF-C01 practice question tests your understanding of ai and ml fundamentals. 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 scientist trains a binary classifier and obtains the following confusion matrix on the test set: TP=120, FN=30, FP=40, TN=210. What is the F1 score?
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
✓
0.774
The F1 score is the harmonic mean of precision and recall. Precision = TP/(TP+FP) = 120/160 = 0.75, and recall = TP/(TP+FN) = 120/150 = 0.80. F1 = 2 * (precision * recall) / (precision + recall) = 2 * (0.75 * 0.80) / (0.75 + 0.80) = 2 * 0.60 / 1.55 = 1.20 / 1.55 ≈ 0.774. Option B is correct.
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.
- ✗
0.800
Why it's wrong here
0.80 is recall, not F1.
- ✓
0.774
Why this is correct
Calculated F1 = 2 * (0.75 * 0.80) / (0.75 + 0.80) = 0.774.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
0.750
Why it's wrong here
0.75 is precision, not F1.
- ✗
0.823
Why it's wrong here
Incorrect calculation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
On the AWS AI Practitioner exam, the trap here is that candidates may mistakenly report precision or recall directly as the F1 score, or compute a simple arithmetic mean instead of the harmonic mean.
Detailed technical explanation
How to think about this question
The F1 score is particularly useful when class distribution is imbalanced, as it balances both false positives and false negatives. In this confusion matrix, the dataset has 150 positive instances and 250 negative instances, so accuracy would be (120+210)/400 = 0.825, which is misleadingly high. The harmonic mean penalizes extreme values more than the arithmetic mean, making F1 a stricter metric for model evaluation in scenarios like fraud detection or medical diagnosis.
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.
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FAQ
Questions learners often ask
What does this AIF-C01 question test?
AI and ML Fundamentals — This question tests AI and ML Fundamentals — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 0.774 — The F1 score is the harmonic mean of precision and recall. Precision = TP/(TP+FP) = 120/160 = 0.75, and recall = TP/(TP+FN) = 120/150 = 0.80. F1 = 2 * (precision * recall) / (precision + recall) = 2 * (0.75 * 0.80) / (0.75 + 0.80) = 2 * 0.60 / 1.55 = 1.20 / 1.55 ≈ 0.774. Option B is correct.
What should I do if I get this AIF-C01 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
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