This is the free Amazon AIF-C01 practice question bank —
200 of 397 total questions, each with a full explanation, free to
read with no signup required. Updated 2026-04-24.
Every answer is verified against official Amazon documentation —
see our methodology.
Question 1
A company wants to integrate an AI solution to contact emergency services within 30 seconds of vehicle crash detection. The company wants to use a pre-trained model without additional training.
Which factor should the company prioritize when selecting a model to meet these requirements?
A. Model customization
B. Model size
C. Model cost
D. Model temperature
Show Answer
Correct Answer: B
Explanation: The requirement is a strict 30‑second response using a pre‑trained model. Model size directly affects inference latency and compute requirements; smaller models run faster and are more likely to meet real‑time constraints. Customization and temperature are irrelevant here, and cost is secondary to meeting the time requirement.
Question 1
A company wants to implement a single environment for both data and AI development. Developers across different teams must be able to access the environment and work together. The developers must be able to build and share models and generative AI applications securely in the environment.
Which AWS solution will meet these requirements?
A. Amazon Lex
B. Amazon SageMaker Unified Studio
C. Amazon Bedrock PartyRock
D. Amazon Q Developer
Show Answer
Correct Answer: B
Explanation: Amazon SageMaker Unified Studio provides a single, shared environment for data and AI development where multiple teams can collaborate securely. It supports building, training, sharing, and deploying ML models and generative AI applications with integrated governance, security, and access controls. The other options are specialized services and do not offer a unified collaborative development environment.
Question 2
An AI practitioner must fine-tune an open source large language model (LLM) for text categorization. The dataset is already prepared.
Which solution will meet these requirements with the LEAST operational effort?
A. Create a custom model training job in PartyRock on Amazon Bedrock.
B. Use Amazon SageMaker JumpStart to create a training job.
C. Use a custom script to run an Amazon SageMaker AI model training job.
D. Create a Jupyter notebook on an Amazon EC2 instance. Use the notebook to train the model.
Show Answer
Correct Answer: B
Explanation: Amazon SageMaker JumpStart provides ready-to-use open-source LLMs with prebuilt fine-tuning pipelines, requiring minimal configuration and no infrastructure management. This results in the least operational effort compared to writing custom scripts, managing EC2 notebooks, or options that do not support custom training workflows.
Question 2
A company plans to build an AI model for the company’s global customer base. The company wants to train the model on a dataset that reflects user diversity.
Which action will meet this requirement?
A. Balance class representation in the dataset.
B. Use a regional dataset with complete data.
C. Oversample majority class data.
D. Drop minority class data records.
Show Answer
Correct Answer: A
Explanation: Training a model for a global customer base requires the dataset to reflect diversity across different user groups. Balancing class representation helps ensure that all relevant groups are adequately represented, reducing bias and improving model performance across diverse populations. The other options either restrict diversity or exacerbate imbalance.
Question 3
A company uses Amazon Comprehend to analyze customer feedback. A customer has several unique trained models. The company uses Comprehend to assign each model an endpoint. The company wants to automate a report on each endpoint that is not used for more than 15 days.
Which service will meet these requirements?
A. AWS Trusted Advisor
B. Amazon CloudWatch
C. AWS CloudTrail
D. AWS Config
Show Answer
Correct Answer: B
Explanation: Amazon CloudWatch can monitor Amazon Comprehend endpoint usage through metrics and logs, track activity over time, and identify endpoints with no invocations for more than 15 days. Using CloudWatch metrics, alarms, and EventBridge, the company can automate reports or notifications for unused endpoints. The other services do not provide usage-based monitoring for Comprehend endpoints.
Question 3
A company wants to deploy a secure AI system with controlled access. The system must allow only authorized personnel to access model training data.
Which AWS service will meet these requirements?
A. AWS Key Management System (AWS KMS)
B. Amazon EMR
C. AWS Identity and Access Management (IAM)
D. Amazon Redshift
Show Answer
Correct Answer: C
Explanation: The requirement is to control and restrict access so that only authorized personnel can access model training data. AWS Identity and Access Management (IAM) is the service designed to manage users, roles, permissions, and access policies across AWS resources, including AI and data services. AWS KMS handles encryption keys, EMR is for big data processing, and Redshift is a data warehouse, none of which primarily manage user authorization.
Question 4
A company is using Amazon Bedrock to build an AI assistant. The AI assistant helps customers find relevant products by making suggestions. However, the AI assistant's responses are often generic and irrelevant. The company wants to use prompt engineering to improve the AI assistant's responses.
Which solution will meet these requirements?
A. Use few-shot prompting to add domain-specific context and explicit instructions.
B. Use chain-of-thought prompting with hidden reasoning steps to ignore explicit domain instructions.
C. Modify the AI assistant's conversational style to use more formal language and include technical product specifications.
D. Use zero-shot prompting to augment retrieval from a product database.
Show Answer
Correct Answer: A
Explanation: Few-shot prompting improves relevance by providing concrete, domain-specific examples and explicit instructions that show the model how to generate appropriate product recommendations. This guides the model toward the desired patterns and context, reducing generic responses. The other options do not directly address relevance through domain grounding or may even conflict with the goal.
Question 4
Sometimes generative AI models generate data unrelated to the input or the task.
Which term is used for this disadvantage of using generative AI for business problems?
A. Interpretability
B. Hallucinations
C. Data bias
D. Nondeterminism
Show Answer
Correct Answer: B
Explanation: When a generative AI model produces outputs that are incorrect, fabricated, or unrelated to the given input or task, this behavior is known as hallucination. The other options refer to different issues: interpretability concerns understanding model decisions, data bias relates to skewed training data, and nondeterminism refers to variability in outputs.
Question 5
A healthcare company wants to create a model to improve disease diagnostics by analyzing patient voices. The company has recorded hundreds of patient voices for this project.
The company is currently filtering voice recordings according to duration and language.
Which phase of the ML lifecycle describes the current project phase?
A. Data collection
B. Data preprocessing
C. Feature engineering
D. Model training
Show Answer
Correct Answer: B
Explanation: Filtering recorded voice data by duration and language is part of preparing and cleaning raw data so it is suitable for modeling. These activities fall under data preprocessing, not feature engineering or model training.
Question 5
A financial company is training a generative AI model to predict outcomes of loan applications. The training dataset is small. The dataset categorizes loan applicants as “younger-aged,” “middle-aged,” or “older-aged.” Most individuals in the dataset are characterized as "middle-aged."
The company removes the age range feature from the training dataset.
Which model behavior will likely happen as a result of this change to the dataset?
A. The model will inaccurately predict outcomes for younger and older age groups.
B. The model will require less training data.
C. The model will predict accurate outcomes for only younger age groups.
D. The model will accurately predict outcomes for all ages.
Show Answer
Correct Answer: A
Explanation: Removing the age feature prevents the model from learning age-related patterns. With a small, imbalanced dataset dominated by middle-aged applicants, the model will tend to fit patterns that reflect the majority and generalize poorly to underrepresented groups, leading to inaccurate predictions for younger and older applicants.
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