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 #1

The graph is an elbow plot showing the inertia or within-cluster sum of squares on the y-axis and number of clusters (also called K) on the x-axis, denoting the change in inertia as the clusters change using k-means algorithm.
What would be an optimal value of K to ensure a good number of clusters?

A. 2

B. 5

C. 3

D. 9

Discussion 0

Correct Answer: C Vote an answer

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Question #2

The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier?

A. 48/(48+37)

B. 37/(37+8)

C. (48+37)/100

D. 37/(37+7)

Discussion 0

Correct Answer: B Vote an answer

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Question #3

Which of the following approaches is best if a limited portion of your training data is labeled?

A. Probabilistic clustering

B. Dimensionality reduction

C. Reinforcement learning

D. Semi-supervised learning

Discussion 0

Correct Answer: D Vote an answer

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Question #4

Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?

A. Platform as a Service (PaaS) can provide some services within an application such as payment applications to create efficient results.

B. Data as a Service (DaaS) can host the databases providing backups, clustering, and high availability.

C. Infrastructure as a Service (IaaS) can provide CPU, memory, disk, network and GPU.

D. Software as a Service (SaaS) can provide AI practitioner data science services such as Jupyter notebooks.

Discussion 0

Correct Answer: D Vote an answer

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Question #5

In a self-driving car company, ML engineers want to develop a model for dynamic pathing. Which of following approaches would be optimal for this task?

A. Dijkstra Algorithm

B. Supervised Learning.

C. Reinforcement learning

D. Unsupervised Learning

Discussion 0

Correct Answer: C Vote an answer

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Question #6

What is the open framework designed to help detect, respond to, and remediate threats in ML systems?

A. MITRE ATTandCK Matrix

B. Adversarial ML Threat Matrix

C. OWASP Threat and Safeguard Matrix

D. Threat Susceptibility Matrix

Discussion 0

Correct Answer: B Vote an answer

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Question #7

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

A. A radial basis function kernel

B. A form of a linear regression

C. An unsupervised learning technique

D. A form of a quantile regression

Discussion 0

Correct Answer: B Vote an answer

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Question #8

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

A. They are usually binary classifiers.

B. They are usually easier to explain to business stakeholders.

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

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

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

Discussion 0

Correct Answer: B,C Vote an answer

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Question #9

Which three security measures could be applied in different ML workflow stages to defend them against malicious activities? (Select three.)

A. Monitor model degradation.

B. Disable logging for model access.

C. Use data encryption.

D. Use Secrets Manager to protect credentials.

E. Launch ML Instances In a virtual private cloud (VPC).

F. Use max privilege to control access to ML artifacts.

Discussion 0

Correct Answer: C,D,E Vote an answer

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Question #10

A change in the relationship between the target variable and input features is

A. covariate shift.

B. model decay.

C. concept drift.

D. data drift.

Discussion 0

Correct Answer: C Vote an answer

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