AWS AI Practitioner (AIF-C01) Exam Questions 2024

AWS AI Practitioner (AIF-C01) Practice Tests 2024. Contains 855+ exam questions to pass the exam in first attempt.

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Below are the free 10 sample questions.

Question 1:

Which AWS service can be used to create automated data labeling workflows that include human labeling?

A. Amazon Comprehend

B. AWS Batch

C. Amazon SageMaker Ground Truth

D. Amazon Mechanical Turk


Answer: C

Explanation:

Amazon SageMaker Ground Truth provides capabilities for creating automated data labeling workflows that include both machine learning and human labeling. It integrates with Amazon Mechanical Turk and other workforce providers to deliver high-quality labeled data.

Question 2:

What does AWS Glue primarily provide?

A. Data storage

B. Data integration

C. Data visualization

D. Data encryption

Answer: B

Explanation:

AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and integrate data for analytics, machine learning, and application development. It provides data integration capabilities to move and transform data from various sources.

Question 3:

How can you efficiently preprocess large-scale text data for a natural language processing (NLP) model using AWS services?

A. Use AWS Glue for ETL

B. Use Amazon Comprehend for text processing

C. Use Amazon Rekognition

D. Use AWS Lambda for real-time processing

Answer: B

Explanation:

Amazon Comprehend is a natural language processing (NLP) service that provides capabilities for preprocessing large-scale text data, including entity recognition, sentiment analysis, and language detection. It is well-suited for preparing text data for NLP models.

Question 4:

Your team needs to label a large amount of data for a computer vision project. Which AWS service provides an efficient solution for this task, including active learning capabilities?

A. Amazon Rekognition

B. AWS Glue

C. Amazon Mechanical Turk

D. Amazon SageMaker Ground Truth

Answer: D

Explanation:

Amazon SageMaker Ground Truth provides a scalable solution for labeling data, including features like active learning to reduce the amount of data that needs to be manually labeled. It integrates with human labeling services to ensure high-quality annotations for training models.

Question 5:

Which AWS service is recommended for large-scale distributed training of deep learning models?

A. Amazon ECS

B. AWS Batch

C. AWS ParallelCluster

D. Amazon EMR

Answer: C

Explanation:

AWS ParallelCluster is an AWS-supported open-source cluster management tool that makes it easy to deploy and manage high-performance computing (HPC) clusters. It is suitable for large-scale distributed training of deep learning models, providing the necessary infrastructure and management capabilities.

Question 6:

Which of the following describes the concept of model drift in the context of machine learning?

A. Gradual improvement in model performance over time

B. Expansion of model capabilities to new tasks

C. Degradation of model performance due to changes in data patterns

D. Significant increase in model accuracy after retraining

Answer: C

Explanation:

Model drift occurs when the statistical properties of the input data change over time, leading to a degradation in model performance. Monitoring for model drift is crucial for maintaining the accuracy and reliability of machine learning models.

Question 7:

Which AWS service would you use to securely manage and store access keys for your machine learning application?

A. AWS Glue

B. AWS Secrets Manager

C. Amazon S3

D. AWS CloudTrail

Answer: B

Explanation:

AWS Secrets Manager is a service designed to securely store and manage sensitive information such as access keys, passwords, and API keys. It helps in securely accessing these credentials within your machine learning application without hardcoding them into your code.

Question 8:

What is the primary use of AWS DeepLens?

A. Data pipeline management

B. Edge computing for machine learning

C. Real-time data analytics

D. Storage of large datasets

Answer: B

Explanation:

AWS DeepLens is a deep learning-enabled video camera for developers that is designed to run machine learning models directly on the device. It is primarily used for edge computing, allowing for real-time computer vision and deep learning applications without the need for constant connectivity to the cloud.

Question 9:

You need to design a solution for securely managing and distributing digital certificates for a global application. The solution should ensure high availability and scalability while maintaining compliance with security standards. What AWS services should be used?

A. AWS IAM with AWS Shield Advanced and AWS Config

B. Amazon RDS with AWS Fargate and AWS CodeDeploy

C. AWS Secrets Manager with AWS KMS and Amazon Route 53

D. AWS Certificate Manager with Amazon CloudFront and AWS WAF

Answer: D

Explanation:

AWS Certificate Manager manages and distributes digital certificates, Amazon CloudFront ensures high availability and scalability, and AWS WAF protects against web vulnerabilities, maintaining compliance with security standards.

Question 10:

A company is developing a new application that involves sensitive data processing and requires robust audit logging, detailed tracking of user activities, and real-time notifications. Which AWS services and configurations should be used to address these needs?

A.    AWS Shield Advanced with Amazon RDS, AWS Lambda, and Amazon

CloudFront

B.    AWS CloudTrail with Amazon CloudWatch, AWS Config, and Amazon SNS

C.    Amazon S3 with AWS KMS, AWS WAF, and Amazon QuickSight

D.    Amazon Athena with AWS Glue, AWS Batch, and Amazon CloudWatch

Answer: B

Explanation:

AWS CloudTrail provides audit logging, Amazon CloudWatch offers detailed tracking and real-time notifications, AWS Config monitors configuration changes, and Amazon SNS sends notifications, ensuring comprehensive data processing and monitoring.