AWS Certified AI Practitioner (AIF-C01) Certification
AWS CERTIFIED AI PRACTITIONER (AIF-C01) CERTIFICATION
EXAM PREP LATEST 2025/2026 ACTUAL EXAM COMPLETE 100
QUESTIONS AND CORRECT ANSWERS GRADED A+ GUARANTEED
PASS- ACE YOUR EXAM
1.
Arrange the following steps in the correct order for a typical ML pipeline:
A) Model evaluation
B) Data collection
C) Deployment
D) Feature engineering
E) Model training
Correct Order: B, D, E, A, C**
Explanation: The sequence starts with data collection, followed by feature
engineering, training, evaluation, and deployment.
2.
Which ML technique is best suited for grouping similar items without labels?
A) Regression
B) Classification
C) Clustering
D) Reinforcement learning
Correct Answer: C**
Explanation: Clustering is an unsupervised technique for grouping based on
similarity.
3. *(Select three)
Which metrics are commonly used to evaluate model performance?
A) Accuracy
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, AWS Certified AI Practitioner (AIF-C01) Certification
B) F1 score
C) Return on investment (ROI)
D) Area Under the Curve (AUC)
E) Customer feedback
F) Development costs
Correct Answers: A, B, D**
Explanation: Accuracy, F1 score, and AUC are technical model performance
metrics.
4.
What is an example of a real-world use case for computer vision?
A) Fraud detection
B) Image recognition
C) Speech synthesis
D) Text translation
Correct Answer: B**
Explanation: Computer vision involves analyzing visual data, such as images.
5.
Which AWS service helps with data preparation for ML?
A) Amazon SageMaker Data Wrangler
B) Amazon Lex
C) Amazon Translate
D) Amazon Fraud Detector
Correct Answer: A**
Explanation: SageMaker Data Wrangler is for exploratory data analysis and pre-
processing.
6.
What is the primary difference between supervised learning and unsupervised
learning in machine learning?
A) Supervised learning uses labeled data, while unsupervised learning uses
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, AWS Certified AI Practitioner (AIF-C01) Certification
unlabeled data.
B) Supervised learning focuses on clustering, while unsupervised learning focuses
on classification.
C) Supervised learning requires deep neural networks, while unsupervised
learning does not.
D) Supervised learning is used only for regression, while unsupervised learning is
for forecasting.
Correct Answer: A**
Explanation: Supervised learning relies on labeled data for training, whereas
unsupervised learning works with unlabeled data to find patterns.
7.
Which AWS service is primarily used for extracting insights from text data using
natural language processing?
A) Amazon SageMaker
B) Amazon Comprehend
C) Amazon Rekognition
D) Amazon Polly
Correct Answer: B**
Explanation: Amazon Comprehend is an NLP service for text analysis, entity
recognition, and sentiment detection.
8. *(Select two)
Which of the following are types of data commonly used in AI models?
A) Labeled data
B) Tabular data
C) Encrypted data
D) Time-series data
E) Compressed data
F) Virtual data
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, AWS Certified AI Practitioner (AIF-C01) Certification
Correct Answers: A, D**
Explanation: Labeled data (for supervised learning) and time-series data are
standard data types in AI models.
9.
In which scenario is AI/ML not appropriate?
A) Automating repetitive tasks
B) Scaling solutions for large datasets
C) When a deterministic outcome is required instead of a prediction
D) Assisting in human decision-making
Correct Answer: C**
Explanation: AI/ML provides probabilistic predictions, not guaranteed outcomes,
making it unsuitable for deterministic needs.
10.
What component of the ML development lifecycle involves cleaning and
transforming raw data?
A) Model training
B) Data pre-processing
C) Hyperparameter tuning
D) Model monitoring
Correct Answer: B**
Explanation: Data pre-processing includes cleaning, normalization, and
transformation.
11.
Match the learning approach to its description:
Prompts:
1) Supervised learning
2) Unsupervised learning
3) Reinforcement learning
Responses:
4|Page
AWS CERTIFIED AI PRACTITIONER (AIF-C01) CERTIFICATION
EXAM PREP LATEST 2025/2026 ACTUAL EXAM COMPLETE 100
QUESTIONS AND CORRECT ANSWERS GRADED A+ GUARANTEED
PASS- ACE YOUR EXAM
1.
Arrange the following steps in the correct order for a typical ML pipeline:
A) Model evaluation
B) Data collection
C) Deployment
D) Feature engineering
E) Model training
Correct Order: B, D, E, A, C**
Explanation: The sequence starts with data collection, followed by feature
engineering, training, evaluation, and deployment.
2.
Which ML technique is best suited for grouping similar items without labels?
A) Regression
B) Classification
C) Clustering
D) Reinforcement learning
Correct Answer: C**
Explanation: Clustering is an unsupervised technique for grouping based on
similarity.
3. *(Select three)
Which metrics are commonly used to evaluate model performance?
A) Accuracy
1|Page
, AWS Certified AI Practitioner (AIF-C01) Certification
B) F1 score
C) Return on investment (ROI)
D) Area Under the Curve (AUC)
E) Customer feedback
F) Development costs
Correct Answers: A, B, D**
Explanation: Accuracy, F1 score, and AUC are technical model performance
metrics.
4.
What is an example of a real-world use case for computer vision?
A) Fraud detection
B) Image recognition
C) Speech synthesis
D) Text translation
Correct Answer: B**
Explanation: Computer vision involves analyzing visual data, such as images.
5.
Which AWS service helps with data preparation for ML?
A) Amazon SageMaker Data Wrangler
B) Amazon Lex
C) Amazon Translate
D) Amazon Fraud Detector
Correct Answer: A**
Explanation: SageMaker Data Wrangler is for exploratory data analysis and pre-
processing.
6.
What is the primary difference between supervised learning and unsupervised
learning in machine learning?
A) Supervised learning uses labeled data, while unsupervised learning uses
2|Page
, AWS Certified AI Practitioner (AIF-C01) Certification
unlabeled data.
B) Supervised learning focuses on clustering, while unsupervised learning focuses
on classification.
C) Supervised learning requires deep neural networks, while unsupervised
learning does not.
D) Supervised learning is used only for regression, while unsupervised learning is
for forecasting.
Correct Answer: A**
Explanation: Supervised learning relies on labeled data for training, whereas
unsupervised learning works with unlabeled data to find patterns.
7.
Which AWS service is primarily used for extracting insights from text data using
natural language processing?
A) Amazon SageMaker
B) Amazon Comprehend
C) Amazon Rekognition
D) Amazon Polly
Correct Answer: B**
Explanation: Amazon Comprehend is an NLP service for text analysis, entity
recognition, and sentiment detection.
8. *(Select two)
Which of the following are types of data commonly used in AI models?
A) Labeled data
B) Tabular data
C) Encrypted data
D) Time-series data
E) Compressed data
F) Virtual data
3|Page
, AWS Certified AI Practitioner (AIF-C01) Certification
Correct Answers: A, D**
Explanation: Labeled data (for supervised learning) and time-series data are
standard data types in AI models.
9.
In which scenario is AI/ML not appropriate?
A) Automating repetitive tasks
B) Scaling solutions for large datasets
C) When a deterministic outcome is required instead of a prediction
D) Assisting in human decision-making
Correct Answer: C**
Explanation: AI/ML provides probabilistic predictions, not guaranteed outcomes,
making it unsuitable for deterministic needs.
10.
What component of the ML development lifecycle involves cleaning and
transforming raw data?
A) Model training
B) Data pre-processing
C) Hyperparameter tuning
D) Model monitoring
Correct Answer: B**
Explanation: Data pre-processing includes cleaning, normalization, and
transformation.
11.
Match the learning approach to its description:
Prompts:
1) Supervised learning
2) Unsupervised learning
3) Reinforcement learning
Responses:
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