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Free CertNexus Certified Artificial Intelligence Practitioner (CAIP) Practice Questions

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Exam style questions across every AIP-210 domain

Last Update 3 days ago
Total Questions : 92

Start with our free AIP-210 practice questions, carefully crafted to mirror the domains, phrasing, and difficulty of the real Certified AI Practitioner exam. Each AIP-210 exam question comes with a detailed rationale that explains not just which answer is correct but why the others fall short. That's how concepts stick. Use the free set to benchmark yourself: identify your CertNexus weak domains, see where you're losing marks, and build a focused study plan in minutes.

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Question # 21

A market research team has ratings from patients who have a chronic disease, on several functional, physical, emotional, and professional needs that stay unmet with the current therapy. The dataset also captures ratings on how the disease affects their day-to-day activities.

A pharmaceutical company is introducing a new therapy to cure the disease and would like to design their marketing campaign such that different groups of patients are targeted with different ads. These groups should ideally consist of patients with similar unmet needs.

Which of the following algorithms should the market research team use to obtain these groups of patients?

Options:

A.  

k-means clustering

B.  

k-nearest neighbors

C.  

Logistic regression

D.  

Naive-Bayes

Discussion 0
Question # 22

Which of the following statements are true regarding highly interpretable models? (Select two.)

Options:

A.  

They are usually binary classifiers.

B.  

They are usually easier to explain to business stakeholders.

C.  

They are usually referred to as "black box" models.

D.  

They are usually very good at solving non-linear problems.

E.  

They usually compromise on model accuracy for the sake of interpretability.

Discussion 0
Question # 23

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

Options:

A.  

Bootstrapping

B.  

K-fold

C.  

Leave-one-out

D.  

Stratification

Discussion 0
Question # 24

Which of the following is NOT an activation function?

Options:

A.  

Additive

B.  

Hyperbolic tangent

C.  

ReLU

D.  

Sigmoid

Discussion 0
Question # 25

Why do data skews happen in the ML pipeline?

Options:

A.  

Test and evaluation data are designed incorrectly.

B.  

There Is a mismatch between live input data and offline data.

C.  

There is a mismatch between live output data and offline data.

D.  

There is insufficient training data for evaluation.

Discussion 0
Question # 26

Which type of regression represents the following formula: y = c + b*x, where y = estimated dependent variable score, c = constant, b = regression coefficient, and x = score on the independent variable?

Options:

A.  

Lasso regression

B.  

Linear regression

C.  

Polynomial regression

D.  

Ridge regression

Discussion 0
Question # 27

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

Options:

A.  

AWS DeepRacer

B.  

Azure Search

C.  

DeepDream

D.  

NLTK

Discussion 0

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