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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

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Total Questions : 371

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Question # 1

A bank is fine-tuning a large language model (LLM) on Amazon Bedrock to assist customers with questions about their loans. The bank wants to ensure that the model does not reveal any private customer data.

Which solution meets these requirements?

Options:

A.  

Use Amazon Bedrock Guardrails.

B.  

Remove personally identifiable information (PII) from the customer data before fine-tuning the LLM.

C.  

Increase the Top-K parameter of the LLM.

D.  

Store customer data in Amazon S3. Encrypt the data before fine-tuning the LLM.

Discussion 0
Question # 2

A company wants to use large language models (LLMs) to create a chatbot. The chatbot will assist customers with product inquiries, order tracking, and returns. The chatbot must be able to process text inputs and image inputs to generate responses.

Which AWS service meets these requirements?

Options:

A.  

Amazon Bedrock

B.  

Amazon Comprehend

C.  

Amazon Q

D.  

Amazon Rekognition

Discussion 0
Question # 3

What is an example of structured data?

Options:

A.  

A file of text comments from an online forum

B.  

A compilation of video files that contains news broadcasts

C.  

A CSV file that consists of measurement data

D.  

Transcribed conversations between call center agents and customers

Discussion 0
Question # 4

A company is using a pre-trained large language model (LLM) to extract information from documents. The company noticed that a newer LLM from a different provider is available on Amazon Bedrock. The company wants to transition to the new LLM on Amazon Bedrock.

What does the company need to do to transition to the new LLM?

Options:

A.  

Create a new labeled dataset

B.  

Perform feature engineering.

C.  

Adjust the prompt template.

D.  

Fine-tune the LLM.

Discussion 0
Question # 5

A global financial company has developed an ML application to analyze stock market data and provide stock market trends. The company wants to continuously monitor the application development phases and ensure that company policies and industry regulations are followed.

Which AWS services will help the company assess compliance with these requirements? (Select TWO.)

Options:

A.  

AWS Audit Manager

B.  

AWS Config

C.  

Amazon Inspector

D.  

Amazon CloudWatch

E.  

AWS CloudTrail

Discussion 0
Question # 6

A company ' s large language model (LLM) is experiencing hallucinations.

How can the company decrease hallucinations?

Options:

A.  

Set up Agents for Amazon Bedrock to supervise the model training.

B.  

Use data pre-processing and remove any data that causes hallucinations.

C.  

Decrease the temperature inference parameter for the model.

D.  

Use a foundation model (FM) that is trained to not hallucinate.

Discussion 0
Question # 7

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.

Which solution meets these requirements?

Options:

A.  

Build an automatic named entity recognition system.

B.  

Create a recommendation engine.

C.  

Develop a summarization chatbot.

D.  

Develop a multi-language translation system.

Discussion 0
Question # 8

What is the benefit of fine-tuning a foundation model (FM)?

Options:

A.  

Fine-tuning reduces the FM ' s size and complexity and enables slower inference.

B.  

Fine-tuning uses specific training data to retrain the FM from scratch to adapt to a specific use case.

C.  

Fine-tuning keeps the FM ' s knowledge up to date by pre-training the FM on more recent data.

D.  

Fine-tuning improves the performance of the FM on a specific task by further training the FM on new labeled data.

Discussion 0
Question # 9

An ecommerce company is developing an AI application that categorizes product images and extracts specifications. The application will use a high-quality labeled dataset to customize a foundation model (FM) to generate accurate responses.

Which ML technique will meet these requirements by using Amazon Bedrock?

Options:

A.  

Apply continued pre-training

B.  

Create an agent

C.  

Perform fine-tuning

D.  

Develop prompt engineering

Discussion 0
Question # 10

An accounting firm wants to implement a large language model (LLM) to automate document processing. The firm must proceed responsibly to avoid potential harms.

What should the firm do when developing and deploying the LLM? (Select TWO.)

Options:

A.  

Include fairness metrics for model evaluation.

B.  

Adjust the temperature parameter of the model.

C.  

Modify the training data to mitigate bias.

D.  

Avoid overfitting on the training data.

E.  

Apply prompt engineering techniques.

Discussion 0
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