ExamGecko
Home Home / Amazon / AIF-C01

Amazon AIF-C01 Practice Test - Questions Answers

Question list
Search
Search

List of questions

Search

Related questions











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?

A.
Temperature
A.
Temperature
Answers
B.
Context window
B.
Context window
Answers
C.
Batch size
C.
Batch size
Answers
D.
Model size
D.
Model size
Answers
Suggested answer: B

An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.

Which metric will help the AI practitioner evaluate the performance of the model?

A.
Confusion matrix
A.
Confusion matrix
Answers
B.
Correlation matrix
B.
Correlation matrix
Answers
C.
R2 score
C.
R2 score
Answers
D.
Mean squared error (MSE)
D.
Mean squared error (MSE)
Answers
Suggested answer: A

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?

A.
Data augmentation for imbalanced classes
A.
Data augmentation for imbalanced classes
Answers
B.
Model monitoring for class distribution
B.
Model monitoring for class distribution
Answers
C.
Retrieval Augmented Generation (RAG)
C.
Retrieval Augmented Generation (RAG)
Answers
D.
Watermark detection for images
D.
Watermark detection for images
Answers
Suggested answer: A

An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.

Which AWS services meet these requirements? (Select TWO.)

A.
Amazon Lex
A.
Amazon Lex
Answers
B.
Amazon Comprehend
B.
Amazon Comprehend
Answers
C.
Amazon Polly
C.
Amazon Polly
Answers
D.
Amazon Bedrock
D.
Amazon Bedrock
Answers
E.
Amazon Rekognition
E.
Amazon Rekognition
Answers
Suggested answer: B, D

A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.

Which solution meets these requirements?

A.
Optimize the model's architecture and hyperparameters to improve the model's overall performance.
A.
Optimize the model's architecture and hyperparameters to improve the model's overall performance.
Answers
B.
Increase the model's complexity by adding more layers to the model's architecture.
B.
Increase the model's complexity by adding more layers to the model's architecture.
Answers
C.
Create effective prompts that provide clear instructions and context to guide the model's generation.
C.
Create effective prompts that provide clear instructions and context to guide the model's generation.
Answers
D.
Select a large, diverse dataset to pre-train a new generative model.
D.
Select a large, diverse dataset to pre-train a new generative model.
Answers
Suggested answer: C

A student at a university is copying content from generative AI to write essays.

Which challenge of responsible generative AI does this scenario represent?

A.
Toxicity
A.
Toxicity
Answers
B.
Hallucinations
B.
Hallucinations
Answers
C.
Plagiarism
C.
Plagiarism
Answers
D.
Privacy
D.
Privacy
Answers
Suggested answer: C

A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.

Which Amazon SageMaker inference option will meet these requirements?

A.
Batch transform
A.
Batch transform
Answers
B.
Real-time inference
B.
Real-time inference
Answers
C.
Serverless inference
C.
Serverless inference
Answers
D.
Asynchronous inference
D.
Asynchronous inference
Answers
Suggested answer: A

Explanation:


A company needs to choose a model from Amazon Bedrock to use internally. The company must identify a model that generates responses in a style that the company's employees prefer.

What should the company do to meet these requirements?

A.
Evaluate the models by using built-in prompt datasets.
A.
Evaluate the models by using built-in prompt datasets.
Answers
B.
Evaluate the models by using a human workforce and custom prompt datasets.
B.
Evaluate the models by using a human workforce and custom prompt datasets.
Answers
C.
Use public model leaderboards to identify the model.
C.
Use public model leaderboards to identify the model.
Answers
D.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
D.
Use the model InvocationLatency runtime metrics in Amazon CloudWatch when trying models.
Answers
Suggested answer: B

A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.

Which solution scope gives the company the MOST ownership of security responsibilities?

A.
Using a third-party enterprise application that has embedded generative AI features.
A.
Using a third-party enterprise application that has embedded generative AI features.
Answers
B.
Building an application by using an existing third-party generative AI foundation model (FM).
B.
Building an application by using an existing third-party generative AI foundation model (FM).
Answers
C.
Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
C.
Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
Answers
D.
Building and training a generative AI model from scratch by using specific data that a customer owns.
D.
Building and training a generative AI model from scratch by using specific data that a customer owns.
Answers
Suggested answer: D

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?

A.
Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
A.
Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
Answers
B.
Mask the confidential data in the inference responses by using dynamic data masking.
B.
Mask the confidential data in the inference responses by using dynamic data masking.
Answers
C.
Encrypt the confidential data in the inference responses by using Amazon SageMaker.
C.
Encrypt the confidential data in the inference responses by using Amazon SageMaker.
Answers
D.
Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
D.
Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).
Answers
Suggested answer: A
Total 87 questions
Go to page: of 9