CAIC Data Analytics 3

Question 1

Which data analytics concept describes the idea that correlations in data do not establish that one variable causes changes in another?

Accepted Answer

Causality vs. correlation

Answer

The causality vs. correlation principle reminds analysts that a statistical relationship does not prove a directional causal mechanism.

Question 2

An AI project team wants to reduce the number of input features before model training. Which technique preserves the most variance while compressing dimensions?

Accepted Answer

Principal Component Analysis (PCA)

Answer

PCA projects data onto orthogonal components ranked by explained variance, compressing dimensions while retaining the most information.

Question 3

What is the primary purpose of a confusion matrix in evaluating a classification model?

Accepted Answer

To break down correct and incorrect predictions by class

Answer

A confusion matrix tabulates true positives, false positives, true negatives, and false negatives, revealing where and how a classifier makes errors.

Question 4

A client's analytics dashboard shows a sudden spike in daily active users. Before concluding this is real growth, what should an AI consultant check first?

Accepted Answer

Data pipeline logs for tracking anomalies or bugs

Answer

Unusual spikes in metrics often result from tracking code bugs, duplicate event firing, or bot traffic rather than genuine user growth.

Question 5

Which sampling strategy should be used when the target class makes up only 1% of the dataset in a binary classification problem?

Accepted Answer

Stratified sampling with oversampling of the minority class

Answer

Stratified sampling combined with oversampling (e.g., SMOTE) ensures the minority class is adequately represented, preventing models from ignoring it.

(CAIC) Certified AI Consultant Practice Test

(CAIC) Certified AI Consultant Practice Test

CAIC Data Analytics 3