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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 3 days ago
Total Questions : 371

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Question # 81

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.

Options:

A.  

Configure AWS CloudTrail as the logs destination for the model.

B.  

Enable model 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.

Discussion 0
Question # 82

An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV ' s compliance reports become available.

Which AWS service can the company use to meet this requirement?

Options:

A.  

AWS Audit Manager

B.  

AWS Artifact

C.  

AWS Trusted Advisor

D.  

AWS Data Exchange

Discussion 0
Question # 83

A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?

Options:

A.  

Create a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.

B.  

Create medication review summaries by using Amazon Bedrock large language models (LLMs).

C.  

Create a classification model that categorizes medications into different groups by using Amazon SageMaker.

D.  

Create medication review summaries by using Amazon Rekognition.

Discussion 0
Question # 84

A company is using an Amazon Nova Canvas model to generate images. The model generates images successfully. The company needs to prevent the model from including specific items in the generated images.

Which solution will meet this requirement?

Options:

A.  

Use a higher temperature value.

B.  

Use a more detailed prompt.

C.  

Use a negative prompt.

D.  

Use another foundation model (FM).

Discussion 0
Question # 85

A company has fine-tuned an Amazon Bedrock foundation model (FM) to produce short document summaries. The company wants an automated metric that compares each model-generated summary with its human-written reference summary.

Which metric will meet these requirements?

Options:

A.  

F1 score

B.  

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

C.  

Perplexity

D.  

Fréchet Inception Distance (FID)

Discussion 0
Question # 86

A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution ' s decisions to be explainable.

Which factor relates to the explainability of the AI solution ' s decisions?

Options:

A.  

Model complexity

B.  

Training time

C.  

Number of hyperparameters

D.  

Deployment time

Discussion 0
Question # 87

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.  

Refine the prompt until the FM produces the desired responses.

D.  

Define a higher number for the temperature parameter.

Discussion 0
Question # 88

A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.

Which solution will meet these requirements?

Options:

A.  

Configure security and compliance by using Amazon Inspector.

B.  

Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.

C.  

Encrypt and secure training data by using Amazon Macie.

D.  

Gather more data. Use Amazon Rekognition to add custom labels to the data.

Discussion 0
Question # 89

A company is using few-shot prompting on a base model that is hosted on Amazon Bedrock. The model currently uses 10 examples in the prompt. The model is invoked once daily and is performing well. The company wants to lower the monthly cost.

Which solution will meet these requirements?

Options:

A.  

Customize the model by using fine-tuning.

B.  

Decrease the number of tokens in the prompt.

C.  

Increase the number of tokens in the prompt.

D.  

Use Provisioned Throughput.

Discussion 0
Question # 90

An AI practitioner is using a large language model (LLM) to create content for marketing campaigns. The generated content sounds plausible and factual but is incorrect.

Which problem is the LLM having?

Options:

A.  

Data leakage

B.  

Hallucination

C.  

Overfitting

D.  

Underfitting

Discussion 0
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