CertNexus Certified Artificial Intelligence Practitioner (CAIP) (AIP-210) Free Practice Test

Question 1

The graph is an elbow plot showing the inertia or within-cluster sum of squares on the y-axis and number of clusters (also called K) on the x-axis, denoting the change in inertia as the clusters change using k-means algorithm.
What would be an optimal value of K to ensure a good number of clusters?

A. 3

B. 5

C. 9

D. 2

Correct Answer: A

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Question 2

Which of the following is NOT an activation function?

A. Sigmoid

B. ReLU

C. Hyperbolic tangent

D. Additive

Correct Answer: D

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Question 3

Which of the following scenarios is an example of entanglement in ML pipelines?

A. Add a new pipeline for retraining the model in the model training step.

B. Change the way output is visualized in the monitoring step.

C. Change in normalization function in the feature engineering step.

D. Add a new method for drift detection in the model evaluation step.

Correct Answer: C

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Question 4

In a self-driving car company, ML engineers want to develop a model for dynamic pathing. Which of following approaches would be optimal for this task?

A. Unsupervised Learning

B. Supervised Learning.

C. Reinforcement learning

D. Dijkstra Algorithm

Correct Answer: C

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Question 5

You are implementing a support-vector machine on your data, and a colleague suggests you use a polynomial kernel. In what situation might this help improve the prediction of your model?

A. When the distribution of the dependent variable is Gaussian.

B. When it is necessary to save computational time.

C. When there is high correlation among the features.

D. When the categories of the dependent variable are not linearly separable.

Correct Answer: D

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Question 6

Which of the following algorithms is an example of unsupervised learning?

A. Random forest

B. Neural networks

C. Ridge regression

D. Principal components analysis

Correct Answer: D

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Question 7

A classifier has been implemented to predict whether or not someone has a specific type of disease.
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

A. Mean squared error

B. Recall and explained variance

C. Precision and recall

D. Precision and accuracy

Correct Answer: C

Question 8

A dataset can contain a range of values that depict a certain characteristic, such as grades on tests in a class during the semester. A specific student has so far received the following grades: 76,81, 78, 87, 75, and 72.
There is one final test in the semester. What minimum grade would the student need to achieve on the last test to get an 80% average?

A. 94

B. 89

C. 91

D. 82

Correct Answer: C

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Question 9

Which of the following is TRUE about SVM models?

A. They use the sigmoid function to classify the data points.

B. They can take the feature space into higher dimensions to solve the problem.

C. They can be used only for classification.

D. They can be used only for regression.

Correct Answer: B

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Question 10

In which of the following scenarios is lasso regression preferable over ridge regression?

A. The number of features is much larger than the sample size.

B. The sample size is much larger than the number of features.

C. There is high collinearity among some of the features associated with the dependent variable.

D. There are many features with no association with the dependent variable.

Correct Answer: D

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CertNexus Certified Artificial Intelligence Practitioner (CAIP) (AIP-210) Free Practice Test