CertNexus AIP-210 Actual Free Exam Questions & Community Discussion

Exam Code/Number: AIP-210
Exam Name/Title: CertNexus Certified Artificial Intelligence Practitioner (CAIP)
Certification Provider: CertNexus
Corresponding Certification: Certified AI Practitioner

Exam Questions: 95
Updated On: Jul 13, 2026

Question #11

Which two of the following statements about the beta value in an A/B test are accurate? (Select two.)

A. The Beta value is the rate of type II errors for the test.

B. The Beta in an Alpha/Beta test represents one of the two variants of the A/B test.

C. The Beta value is the rate of type I errors for the test.

D. The statistical power of a test is the inverse of the Beta value, or 1 - Beta.

Discussion 0

Correct Answer: A Vote an answer

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Question #12

Which of the following is NOT a valid cross-validation method?

A. Leave-one-out

B. K-fold

C. Stratification

D. Bootstrapping

Discussion 0

Correct Answer: C Vote an answer

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Question #13

Which of the following text vectorization methods is appropriate and correctly defined for an English-to- Spanish translation machine?

A. Using TF-IDF because in translation machines, we need to consider the order of the words.

B. Using TF-IDF because in translation machines, we do not care about the order of the words.

C. Using Word2vec because in translation machines, we do not care about the order of the words.

D. Using Word2vec because in translation machines, we need to consider the order of the words.

Discussion 0

Correct Answer: D Vote an answer

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Question #14

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

A. Neural networks

B. Principal components analysis

C. Random forest

D. Ridge regression

Discussion 0

Correct Answer: B Vote an answer

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Question #15

Which of the following tools would you use to create a natural language processing application?

A. DeepDream

B. NLTK

C. AWS DeepRacer

D. Azure Search

Discussion 0

Correct Answer: B Vote an answer

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Question #16

R-squared is a statistical measure that:

A. Represents the extent to which two random variables vary together.

B. Expresses the extent to which two variables are linearly related.

C. Is the proportion of the variance for a dependent variable thaf' s explained by independent variables.

D. Combines precision and recall of a classifier into a single metric by taking their harmonic mean.

Discussion 0

Correct Answer: C Vote an answer

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Question #17

Which of the following regressions will help when there is the existence of near-linear relationships among the independent variables (collinearity)?

A. Polynomial regression

B. Clustering

C. Ridge regression

D. Linear regression

Discussion 0

Correct Answer: C Vote an answer

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Question #18

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

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

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

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

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

Discussion 0

Correct Answer: B Vote an answer

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Question #19

Which of the following pieces of AI technology provides the ability to create fake videos?

A. Recurrent neural networks (RNN)

B. Long short-term memory (LSTM) networks

C. Support-vector machines (SVM)

D. Generative adversarial networks (GAN)

Discussion 0

Correct Answer: D Vote an answer

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Question #20

Which of the following is the definition of accuracy?

A. True Positives / (True Positives + False Negatives)

B. True Positives / (True Positives + False Positives)

C. (True Positives + False Positives) / Total Predictions

D. (True Positives + True Negatives) / Total Predictions

Discussion 0

Correct Answer: D Vote an answer

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