CAIC Questions PDF [2026] Use Valid New dump to Clear Exam [Q17-Q40]

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CAIC Questions PDF [2026] Use Valid New dump to Clear Exam

Passing USAII CAIC Exam Using 2026 Practice Tests

USAII CAIC Exam Syllabus Topics:

Section	Weight	Objectives
AI Fundamentals & Concepts	15%	– AI vs Traditional Programming – Introduction to Artificial Intelligence 1. Types of AI: Narrow vs General vs Super AI 2. History and evolution of AI 3. Key concepts: Machine Learning, Deep Learning, Neural Networks – AI Lifecycle and Workflow
Machine Learning & Algorithms	20%	– Model Training, Evaluation & Optimization – Popular Algorithms 1. Decision Trees, Random Forest, SVM 2. Neural Networks and Deep Learning basics 3. Regression, Classification, Clustering – Types of Machine Learning 1. Unsupervised Learning 2. Supervised Learning 3. Reinforcement Learning
AI Technologies & Tools	15%	– AI Applications: NLP, Computer Vision, Predictive Analytics – Frameworks: TensorFlow, PyTorch, Scikit-learn – Cloud AI Platforms (AWS, Azure, Google Cloud) – Automation & RPA Integration
Ethics, Governance & Future Trends	10%	– AI Ethics, Bias & Fairness – Data Privacy, Security & Compliance – Explainable AI & Transparency – Emerging Trends & Future of AI
Data Preparation & Engineering	15%	– Feature Engineering & Selection – Data Collection & Sources – Data Quality & Governance – Data Cleaning, Preprocessing & Transformation
AI in Business & Consulting	25%	– Implementation Planning & Change Management – Identifying AI Use Cases & Opportunities – Cost-Benefit Analysis & ROI Calculation – AI Strategy & Roadmap Development – AI Project Management & Governance

Q17. Select the most CORRECT risk-scoring methodology function statement for prospective risk.

Prospective risk methods predict model risk after analyzing historical model performance.

Prospective risk methods predict model risk after analyzing upcoming model performance.

Prospective risk leverages the most current risk of the model to predict the overall model risk for future cycles.

a and b only

a, b and c only

Q18. A model is trained using historical customer records where each record already contains the correct outcome, such as “churn” or “not churn.” The model then predicts whether future customers are likely to churn. This is an example of ______.

supervised learning

unsupervised learning

reinforcement learning

generative learning

clustering

Q19. Which of the following is a regulatory requirement?

HIPAA

GDPR

CCPA

a and b only

a, b and c only

Q20. What is the main advantage of using deep learning over traditional machine learning?

Reduced need for data

Better performance with large datasets

Requires less computational power

Works only with structured data

None of the above

Q21. Which of the CORRECT cognitive modeling is used in AI applications?

Deep learning

Expert systems

Natural language processing

Robotics

All of the above

Q22. Select the most CORRECT statement.

Dimensionality reduction is the process of reducing the number of random variables considered.

Dimensionality reduction is the process of reducing the number of targetted variables considered.

To reduce the dimensionality of huge datasets, a technique known as PCA is used.

a and c only

b and c only

Q23. Which of the following is NOT CORRECT for the Elbow method?

The Elbow method is used to determine the number of clusters to be formed.

In K-means clustering, the ideal number of clusters is established using the elbow method.

The elbow method is a heuristic used in cluster analysis to estimate the number of clusters present in a dataset.

All of the above

None of the above

Q24. Artificial general intelligence (AGI) is also commonly expressed as ____.

Weak AI

Strong AI

General AI

SuperAI

ExpertAI

Q25. Which of the following is the CORRECT first step in the Machine Learning lifecycle?

Data understanding

Business understanding

Algorithm use understanding

a and b only

All of the above

Q26. Choose the BEST key components of workflow automation.

Pipeline design and management

Pipeline execution and monitoring

Model monitoring configuration

a and b only

a, b, and c only

Q27. Which of the following is MLOps?

Workflow automation

Continuous integration

Continuous deployment

a and b only

a, b and c only

Q28. Artificial narrow intelligence ANI is also commonly expressed as ____.

Weak AI

Strong AI

General AI

SuperAI

ExpertAI

Q29. What type of learning is used when a model is trained with labeled data?

Unsupervised Learning

Supervised Learning

Reinforcement Learning

Semi-supervised Learning

Support Vector

Q30. Choose the CORRECT statement for Naive Bayes classifier.

This algorithm naively considers every feature in the dataset as its own independent variable.

This algorithm naively considers unique features in the dataset as its own independent variable.

It’s commonly used for binary values such as trying to decipher whether or not something is spam.

a and c only

a, b and c only

Q31. XAI stands for ______.

Extensible Artificial Intelligence

Explainable Artificial Intelligence

Exceptional Artificial Intelligence

a and b only

a, b, and c only

Q32. Which of the following is a CORRECT statement for Few-shot learning?

Few-shot learning is a type of machine learning technique.

Few-shot learning enables models to learn new concepts or tasks with very limited labeled data.

Few-shot learning enables models to learn new concepts or tasks with very limited unlabeled data.

a and b only

a and c only

Q33. Which of the following is NOT a learning category for the ML model?

Supervised learning

Unsupervised learning

Reinforcement learning

Semi Reinforcement learning

Semi-supervised learning

Q34. Choose the CORRECT statement to use AI for product ideation.

AI-fueled product data can uncover what features and attributes your competitors are already providing to consumers.

AI can be used to generate new product ideas.

AI can generate many potential product ideas in a short time, to take the right decision.

a and b only

a, b and c only

Q35. Select the most INCORRECT risk-scoring methodology function statement for retrospective/concurrent.

Retrospective/concurrent risk methods predict model risk after analyzing historical model performance.

Retrospective/concurrent risk leverages the most current risk of the model to predict the overall model risk for future cycles.

Retrospective/concurrent is more suitable when there have been key changes to the model risk indicators, data model behavior, or recent attacks or loss of data, and the model is being investigated.

a and b only

a, b and c only

Q36. What type of AI system does not have self-awareness or consciousness?

General AI

Strong AI

Narrow AI

Human AI

None of the above

Q37. Which type of AI mimics the human brain by building networks of artificial neurons?

Fuzzy Logic

Genetic Algorithms

Neural Networks

Expert Systems

None of the above

Q38. Choose the CORRECT example of Supervised Learning.

Driverless car

House price prediction

ChatGPT

All of the above

None of the above

Q39. Choose the CORRECT example of a business goal?

Cost reduction for operational processes.

Mitigation of business or operational risks.

Product or service revenue improvements.

a and b only

All of the above

Q40. If humans are unlabeling the data and the machine is correctly labeling current or future data points, it’s
______.

supervised learning

unsupervised learning

reinforcement learning

semi-reinforcement learning

semi-supervised learning

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CAIC Questions PDF [2026] Use Valid New dump to Clear Exam [Q17-Q40]

USAII CAIC Exam Syllabus Topics:

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