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AIF-C01 AWS Certified AI Practitioner Exam Questions and Answers

Questions 4

A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of learning should the company use to train the model?

Options:

A.

Supervised learning.

B.

Unsupervised learning.

C.

Reinforcement learning.

D.

Active learning.

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Questions 5

An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.

How should the AI practitioner prevent responses based on confidential data?

Options:

A.

Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.

B.

Mask the confidential data in the inference responses by using dynamic data masking.

C.

Encrypt the confidential data in the inference responses by using Amazon SageMaker.

D.

Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

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Questions 6

A security company is using Amazon Bedrock to run foundation models (FMs). The company wants to ensure that only authorized users invoke the models. The company needs to identify any unauthorized access attempts to set appropriate AWS Identity and Access Management (IAM) policies and roles for future iterations of the FMs.

Which AWS service should the company use to identify unauthorized users that are trying to access Amazon Bedrock?

Options:

A.

AWS Audit Manager

B.

AWS CloudTrail

C.

Amazon Fraud Detector

D.

AWS Trusted Advisor

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Questions 7

A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.

Which solution will meet this requirement?

Options:

A.

Use a different FM

B.

Choose a lower temperature value

C.

Create an Amazon Bedrock knowledge base

D.

Enable model invocation logging

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Questions 8

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls.

Which solution meets these requirements?

Options:

A.

Build a conversational chatbot by using Amazon Lex.

B.

Transcribe call recordings by using Amazon Transcribe.

C.

Extract information from call recordings by using Amazon SageMaker Model Monitor.

D.

Create classification labels by using Amazon Comprehend.

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Questions 9

What are tokens in the context of generative AI models?

Options:

A.

Tokens are the basic units of input and output that a generative AI model operates on, representing words, subwords, or other linguistic units.

B.

Tokens are the mathematical representations of words or concepts used in generative AI models.

C.

Tokens are the pre-trained weights of a generative AI model that are fine-tuned for specific tasks.

D.

Tokens are the specific prompts or instructions given to a generative AI model to generate output.

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Questions 10

A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.

Which type of bias is affecting the model output?

Options:

A.

Measurement bias

B.

Sampling bias

C.

Observer bias

D.

Confirmation bias

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Questions 11

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.

Which solution will meet these requirements?

Options:

A.

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

B.

Data augmentation by using an Amazon Bedrock knowledge base

C.

Image recognition by using Amazon Rekognition

D.

Data summarization by using Amazon QuickSight

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Questions 12

A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic.

Which AWS service or feature will meet these requirements?

Options:

A.

AWS PrivateLink

B.

Amazon Macie

C.

Amazon CloudFront

D.

Internet gateway

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Questions 13

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

Options:

A.

Set a low limit on the number of tokens the FM can produce.

B.

Use batch inferencing to process detailed responses.

C.

Experiment and refine the prompt until the FM produces the desired responses.

D.

Define a higher number for the temperature parameter.

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Questions 14

An AI practitioner is building a model to generate images of humans in various professions. The AI practitioner discovered that the input data is biased and that specific attributes affect the image generation and create bias in the model.

Which technique will solve the problem?

Options:

A.

Data augmentation for imbalanced classes

B.

Model monitoring for class distribution

C.

Retrieval Augmented Generation (RAG)

D.

Watermark detection for images

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Questions 15

A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.

Which model evaluation strategy meets these requirements?

Options:

A.

Bilingual Evaluation Understudy (BLEU)

B.

Root mean squared error (RMSE)

C.

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

D.

F1 score

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Questions 16

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.

Which solution meets these requirements?

Options:

A.

Build a speech recognition system.

B.

Create a natural language processing (NLP) named entity recognition system.

C.

Develop an anomaly detection system.

D.

Create a fraud forecasting system.

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Questions 17

A company is using an Amazon Bedrock base model to summarize documents for an internal use case. The company trained a custom model to improve the summarization quality.

Which action must the company take to use the custom model through Amazon Bedrock?

Options:

A.

Purchase Provisioned Throughput for the custom model.

B.

Deploy the custom model in an Amazon SageMaker endpoint for real-time inference.

C.

Register the model with the Amazon SageMaker Model Registry.

D.

Grant access to the custom model in Amazon Bedrock.

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Questions 18

Which option is a benefit of using Amazon SageMaker Model Cards to document AI models?

Options:

A.

Providing a visually appealing summary of a model's capabilities.

B.

Standardizing information about a model's purpose, performance, and limitations.

C.

Reducing the overall computational requirements of a model.

D.

Physically storing models for archival purposes.

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Questions 19

A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.

What are the key benefits of using Amazon Bedrock agents that could help this retailer?

Options:

A.

Generation of custom foundation models (FMs) to predict customer needs

B.

Automation of repetitive tasks and orchestration of complex workflows

C.

Automatically calling multiple foundation models (FMs) and consolidating the results

D.

Selecting the foundation model (FM) based on predefined criteria and metrics

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Questions 20

An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.

Which solution meets these requirements with the LEAST implementation effort?

Options:

A.

Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.

B.

Add a role description to the prompt context that instructs the model of the age range that the response should target.

C.

Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.

D.

Summarize the response text depending on the age of the user so that younger users receive shorter responses.

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Questions 21

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images.

Which type of FM should the AI practitioner use to power the search application?

Options:

A.

Multi-modal embedding model

B.

Text embedding model

C.

Multi-modal generation model

D.

Image generation model

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Questions 22

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to know how much information can fit into one prompt.

Which consideration will inform the company's decision?

Options:

A.

Temperature

B.

Context window

C.

Batch size

D.

Model size

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Questions 23

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from the customer service department. The AI practitioner wants to store invocation logs to monitor model input and output data.

Which strategy should the AI practitioner use?

Options:

A.

Configure AWS CloudTrail as the logs destination for the model.

B.

Enable invocation logging in Amazon Bedrock.

C.

Configure AWS Audit Manager as the logs destination for the model.

D.

Configure model invocation logging in Amazon EventBridge.

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Questions 24

A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.

Which solution will meet these requirements?

Options:

A.

Implement moderation APIs.

B.

Retrain the model with a general public dataset.

C.

Perform model validation.

D.

Automate user feedback integration.

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Questions 25

A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.

Which AWS service meets this requirement?

Options:

A.

Amazon Textract

B.

Amazon Personalize

C.

Amazon Lex

D.

Amazon Transcribe

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Questions 26

A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.

Which solution meets these requirements?

Options:

A.

Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.

B.

Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.

C.

Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations.

D.

Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

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Questions 27

A company needs to build its own large language model (LLM) based on only the company's private data. The company is concerned about the environmental effect of the training process.

Which Amazon EC2 instance type has the LEAST environmental effect when training LLMs?

Options:

A.

Amazon EC2 C series

B.

Amazon EC2 G series

C.

Amazon EC2 P series

D.

Amazon EC2 Trn series

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Exam Code: AIF-C01
Exam Name: AWS Certified AI Practitioner Exam
Last Update: Feb 18, 2025
Questions: 97
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