CertNexus Certified Artificial Intelligence Practitioner (CAIP) - AIP-210 FREE EXAM DUMPS QUESTIONS & ANSWERS]

Question 1

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

A. They are usually referred to as "black box" models. B. They usually compromise on model accuracy for the sake of interpretability. C. They are usually easier to explain to business stakeholders. D. They are usually very good at solving non-linear problems. E. They are usually binary classifiers.

Discussion 0

Correct Answer: B,C Vote an answer

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Question 2

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?

A. k-means clustering B. k-nearest neighbors C. Naive-Bayes D. Logistic regression

Discussion 0

Correct Answer: A Vote an answer

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Question 3

Which of the following is NOT an activation function?

A. Hyperbolic tangent B. Sigmoid C. Additive D. ReLU

Discussion 0

Correct Answer: C Vote an answer

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Question 4

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. Precision and accuracy B. Precision and recall C. Mean squared error D. Recall and explained variance

Discussion 0

Correct Answer: B Vote an answer

Question 5

Which of the following is the definition of accuracy?

A. (True Positives + True Negatives) / Total Predictions B. True Positives / (True Positives + False Negatives) C. (True Positives + False Positives) / Total Predictions D. True Positives / (True Positives + False Positives)

Discussion 0

Correct Answer: A Vote an answer

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Question 6

In general, models that perform their tasks:

A. More accurately are less robust against adversarial attacks. B. Less accurately are less robust against adversarial attacks. C. More accurately are neither more nor less robust against adversarial attacks. D. Less accurately are neither more nor less robust against adversarial attacks.

Discussion 0

Correct Answer: A Vote an answer

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Question 7

Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?

A. Code Repository B. Configuration Management C. Incident D. Asset

Discussion 0

Correct Answer: C Vote an answer

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Question 8

When working with textual data and trying to classify text into different languages, which approach to representing features makes the most sense?

A. Word2Vec algorithm B. Bag of bigrams (2 letter pairs) C. Clustering similar words and representing words by group membership D. Bag of words model with TF-IDF

Discussion 0

Correct Answer: B Vote an answer

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Question 9

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 I 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 II 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: C Vote an answer

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Question 10

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. Precision and accuracy B. Precision and recall C. Mean squared error D. Recall and explained variance

Discussion 0

Correct Answer: B Vote an answer

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