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AIP-210 Exam Dumps - CertNexus Certification Questions and Answers

Question # 24

Which of the following describes a neural network without an activation function?

Options:

A.

A form of a linear regression

B.

A form of a quantile regression

C.

An unsupervised learning technique

D.

A radial basis function kernel

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Question # 25

A big data architect needs to be cautious about personally identifiable information (PII) that may be captured with their new IoT system. What is the final stage of the Data Management Life Cycle, which the architect must complete in order to implement data privacy and security appropriately?

Options:

A.

De-Duplicate

B.

Destroy

C.

Detain

D.

Duplicate

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Question # 26

An organization sells house security cameras and has asked their data scientists to implement a model to detect human feces, as distinguished from animals, so they can alert th customers only when a human gets close to their house.

Which of the following algorithms is an appropriate option with a correct reason?

Options:

A.

A decision tree algorithm, because the problem is a classification problem with a small number of features.

B.

k-means, because this is a clustering problem with a small number of features.

C.

Logistic regression, because this is a classification problem and our data is linearly separable.

D.

Neural network model, because this is a classification problem with a large number of features.

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Question # 27

Which two of the following decrease technical debt in ML systems? (Select two.)

Options:

A.

Boundary erosion

B.

Design anti-patterns

C.

Documentation readability

D.

Model complexity

E.

Refactoring

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Question # 28

Which of the following is the definition of accuracy?

Options:

A.

(True Positives + False Positives) / Total Predictions

B.

(True Positives + True Negatives) / Total Predictions

C.

True Positives / (True Positives + False Negatives)

D.

True Positives / (True Positives + False Positives)

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Question # 29

You have a dataset with many features that you are using to classify a dependent variable. Because the sample size is small, you are worried about overfitting. Which algorithm is ideal to prevent overfitting?

Options:

A.

Decision tree

B.

Logistic regression

C.

Random forest

D.

XGBoost

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Question # 30

Which of the following items should be included in a handover to the end user to enable them to use and run a trained model on their own system? (Select three.)

Options:

A.

Information on the folder structure in your local machine

B.

Intermediate data files

C.

Link to a GitHub repository of the codebase

D.

README document

E.

Sample input and output data files

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Exam Code: AIP-210
Exam Name: CertNexus Certified Artificial Intelligence Practitioner (CAIP)
Last Update: Feb 23, 2025
Questions: 90
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