CertNexus AIP-210 practice materials Questions Answers

Exam Code:
AIP-210
Exam Name:
Certified Artificial Intelligence Practitioner Exam (CAIP) Exam
Last Update:
Jun 01,2026

90 Questions Answers Verified by Experts!


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CertNexus AIP-210 Questions for CertNexus Certified AI Practitioner Certification Exam 2026

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Page: 1 / 18
Total Questions: 90

Questions & Answers PDF

• Question 1

  

  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 onlywhen a human gets close to their house.Which of the following algorithms is an appropriate option with a correct reason?

  • A decision tree algorithm, because the problem is a classification problem with a small number of features.
  • k-means, because this is a clustering problem with a small number of features.
  • Logistic regression, because this is a classification problem and our data is linearly separable.
  • Neural network model, because this is a classification problem with a large number of features.

  Reveal Answer Answer: D Next Question

• Question 2

  

  Which of the following describes a typical use case of video tracking?

  • Augmented dreaming
  • Medical diagnosis
  • Traffic monitoring
  • Video composition

  Reveal Answer Answer: C Next Question

• Question 3

  

  You are building a prediction model to develop a tool that can diagnose a particular disease so that individuals with the disease can receive treatment. The treatment is cheap and has no side effects. Patients with the disease who don't receive treatment have a high risk of mortality.It is of primary importance that your diagnostic tool has which of the following?

  • High negative predictive value
  • High positive predictive value
  • Low false negative rate
  • Low false positive rate

  Reveal Answer Answer: C Next Question

• Question 4

  

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

  • A form of a linear regression
  • A form of a quantile regression
  • An unsupervised learning technique
  • A radial basis function kernel

  Reveal Answer Answer: A Next Question

• Question 5

  

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

  • The number of features is much larger than the sample size.
  • There are many features with no association with the dependent variable.
  • There is high collinearity among some of the features associated with the dependent variable.
  • The sample size is much larger than the number of features.

  Reveal Answer Answer: B Next Question

• Question 6

  

  Which two of the following criteria are essential for machine learning models to achieve before deployment? (Select two.)

  • Complexity
  • Data size
  • Explainability
  • Portability
  • Scalability

  Reveal Answer Answer: C,E Next Question

• Question 7

  

  A company is developing a merchandise sales application The product team uses training data to teach the AI model predicting sales, and discovers emergent bias. What caused the biased results?

  • The AI model was trained in winter and applied in summer.
  • The application was migrated from on-premise to a public cloud.
  • The team set flawed expectations when training the model.
  • The training data used was inaccurate.

  Reveal Answer Answer: A Next Question

• Question 8

  

  An HR solutions firm is developing software for staffing agencies that uses machine learning.The team uses training data to teach the algorithm and discovers that it generates lower employability scores for women. Also, it predicts that women, especially with children, are less likelyto get a high-paying job.Which type of bias has been discovered?

  • Automation
  • Emergent
  • Preexisting
  • Technical

  Reveal Answer Answer: C Next Question

• Question 9

  

  Which of the following is NOT an activation function?

  • Additive
  • Hyperbolic tangent
  • ReLU
  • Sigmoid

  Reveal Answer Answer: A Next Question

• Question 10

  

  Which two encodes can be used to transform categories data into numerical features? (Select two.)

  • Count Encoder
  • Log Encoder
  • Mean Encoder
  • Median Encoder
  • One-Hot Encoder

  Reveal Answer Answer: C,E Next Question

Page: 1 / 18
Total Questions: 90

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