Amazon AIF-C01 Exam Practice Test Instant Access

Question 1

Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

AHelps decrease the model's complexity

BImproves model performance over time

CDecreases the training time requirement

DOptimizes model inference time

Answer : B

Question 2

Which metric measures the runtime efficiency of operating AI models?

ACustomer satisfaction score (CSAT)

BTraining time for each epoch

CAverage response time

DNumber of training instances

Answer : C

Question 3

A company is building an ML model to analyze archived dat

a. 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?

ABatch transform

BReal-time inference

CServerless inference

DAsynchronous inference

Answer : A

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Question 4

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?

AData augmentation for imbalanced classes

BModel monitoring for class distribution

CRetrieval Augmented Generation (RAG)

DWatermark detection for images

Answer : A

Question 5

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?

AConfusion matrix

BCorrelation matrix

CR2 score

DMean squared error (MSE)

Answer : A

Question 6

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?

ATemperature

BContext window

CBatch size

DModel size

Answer : B

Question 7

A company wants to develop a large language model (LLM) application by using Amazon Bedrock and customer data that is uploaded to Amazon S3. The company's security policy states that each team can access data for only the team's own customers.

Which solution will meet these requirements?

ACreate an Amazon Bedrock custom service role for each team that has access to only the team's customer data.

BCreate a custom service role that has Amazon S3 access. Ask teams to specify the customer name on each Amazon Bedrock request.

CRedact personal data in Amazon S3. Update the S3 bucket policy to allow team access to customer data.

DCreate one Amazon Bedrock role that has full Amazon S3 access. Create IAM roles for each team that have access to only each team's customer folders.

Answer : A

Amazon AIF-C01 AWS Certified AI Practitioner Exam Practice Test