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AWS Certified AI Practitioner AIF-C01 Practice Test

500 questions with instant explanations, domain breakdown, and wrong-answer analysis. Built for the real exam.

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Full explanations included
Domain score breakdown
Real exam: 90 min
Pass mark: 700%

Sample questions with explanations

This is exactly what you see during practice — question, options, and a full explanation after you answer.

Q1Fundamentals of AI and MLeasy
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A data scientist wants to quickly build a supervised learning model for binary classification on a tabular dataset with 10,000 rows and 200 features. The dataset has some missing values and requires minimal code. Which AWS service should the data scientist use?

AAmazon SageMaker Studio Lab
BAmazon SageMaker Clarify
Amazon SageMaker AutopilotCorrect
DAmazon SageMaker JumpStart

Amazon SageMaker Autopilot is the correct choice because it automatically performs data preprocessing (including handling missing values), feature engineering, model selection, and hyperparameter tuning for supervised learning tasks like binary classification. It requires minimal…Read full explanation

Q2Fundamentals of AI and MLmedium
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An ML team is deploying a real-time inference endpoint for a computer vision model using Amazon SageMaker. The model requires GPU acceleration for low latency. Which instance type should the team choose to minimize cost while meeting the GPU requirement?

Aml.g5.xlarge
Bml.c5.xlarge
ml.p3.2xlargeCorrect
Dml.p4d.24xlarge

Option C (ml.p3.2xlarge) is correct because it provides a GPU (NVIDIA Tesla V100) necessary for low-latency GPU acceleration in computer vision inference, while being the most cost-effective GPU instance among the options. The ml.p3.2xlarge offers a single GPU with sufficient com…Read full explanation

Q3Fundamentals of AI and MLhard
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A company is training a deep learning model on Amazon SageMaker using a custom Docker container. The training job fails with the error 'CannotStartContainerError: API error (500): failed to create shim task'. The team verifies that the container image is compatible with the selected instance type. What is the most likely cause of this error?

The instance type does not have enough memory for the containerCorrect
BThe training data is stored in the wrong S3 bucket
CThe container image does not have the correct entry point
DThe GPU drivers are outdated

The error 'CannotStartContainerError: API error (500): failed to create shim task' typically occurs when the Docker container cannot be initialized due to resource constraints, most commonly insufficient memory on the selected instance type. Even if the container image is compati…Read full explanation

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