DA0-002 Data Analysis Practice Question
An analyst uses K-means clustering on customer purchase data. After plotting the within-cluster sum of squares for different values of k, they observe an elbow at k=4. What is the most appropriate number of clusters?
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
✓
4
The elbow method suggests choosing k where the WSS starts to diminish slowly; that point is the elbow.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
4
Why this is correct
The elbow indicates the optimal k.
- ✗
6
Why it's wrong here
Too many clusters beyond elbow.
- ✗
5
Why it's wrong here
Beyond the elbow, improvement is marginal.
- ✗
3
Why it's wrong here
Elbow is at 4, not 3.
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