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Free AWS Certified AI Practitioner Exam Practice Questions

Question # 71

A bank is building a chatbot to answer customer questions about opening a bank account. The chatbot will use public bank documents to generate responses. The company will use Amazon Bedrock and prompt engineering to improve the chatbot ' s responses.

Which prompt engineering technique meets these requirements?

Options:

A.  

Complexity-based prompting

B.  

Zero-shot prompting

C.  

Few-shot prompting

D.  

Directional stimulus prompting

Discussion 0
Question # 72

A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.

Which SageMaker inference option meets these requirements?

Options:

A.  

Real-time inference

B.  

Serverless inference

C.  

Asynchronous inference

D.  

Batch transform

Discussion 0
Question # 73

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

Discussion 0
Question # 74

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

Discussion 0
Question # 75

A company is using AI to build a toy recommendation website that suggests toys based on a customer ' s interests and age. The company notices that the AI tends to suggest stereotypically gendered toys.

Which AWS service or feature should the company use to investigate the bias?

Options:

A.  

Amazon Rekognition

B.  

Amazon Q Developer

C.  

Amazon Comprehend

D.  

Amazon SageMaker Clarify

Discussion 0
Question # 76

A company is deploying a generative AI (GenAI) assistant to explain policies to customers. The company wants to use Amazon Bedrock Guardrails to validate that the GenAI assistant ' s responses comply with company policies.

Which Guardrails feature will meet this requirement?

Options:

A.  

Content filters

B.  

Automated Reasoning checks

C.  

Contextual grounding checks

D.  

Sensitive information filters

Discussion 0
Question # 77

A company is building an ML model. The company collected new data and analyzed the data by creating a correlation matrix, calculating statistics, and visualizing the data.

Which stage of the ML pipeline is the company currently in?

Options:

A.  

Data pre-processing

B.  

Feature engineering

C.  

Exploratory data analysis

D.  

Hyperparameter tuning

Discussion 0
Question # 78

Which option is a characteristic of AI governance frameworks for building trust and deploying human-centered AI technologies?

Options:

A.  

Expanding initiatives across business units to create long-term business value

B.  

Ensuring alignment with business standards, revenue goals, and stakeholder expectations

C.  

Overcoming challenges to drive business transformation and growth

D.  

Developing policies and guidelines for data, transparency, responsible AI, and compliance\

Discussion 0
Question # 79

A multinational company is experiencing rapid growth. The company needs to scale AI initiatives and help employees efficiently find, access, and properly use company data in compliance with established policies and standards.

Which solution will meet these requirements?

Options:

A.  

Provide a data asset repository without data integration in Amazon SageMaker AI.

B.  

Use data storage in Amazon SageMaker AI.

C.  

Add unified governance, discovery, and collaboration capabilities to Amazon SageMaker AI.

D.  

Set up data monitoring in Amazon SageMaker AI.

Discussion 0
Question # 80

An AI practitioner is using Amazon Bedrock Prompt Management to create a reusable prompt. The prompt must be able to interact with external services by calling an external API. Which solution will meet this requirement?

Options:

A.  

Use special tokens.

B.  

Use a tools configuration.

C.  

Use prompt variables.

D.  

Use a stop sequence.

Discussion 0

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