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AIF-C01 Practice Questions

AWS Certified AI Practitioner Exam

Last Update 3 days ago
Total Questions : 401

Dive into our fully updated and stable AIF-C01 practice test platform, featuring all the latest AWS Certified AI Practitioner exam questions added this week. Our preparation tool is more than just a Amazon Web Services study aid; it's a strategic advantage.

Our free AWS Certified AI Practitioner practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about AIF-C01. Use this test to pinpoint which areas you need to focus your study on.

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Question # 71

A financial services company has developed an AI model by using AWS. The AI model assists with reviewing customer loan applications. Because regulatory requirements require transparency, the company needs to be able to explain how the model makes its decisions.

Which AWS service or feature meets these requirements?

Options:

A.  

Amazon SageMaker Clarify

B.  

Amazon Rekognition

C.  

Amazon Comprehend

D.  

Amazon SageMaker Model Monitor

Discussion 0
Question # 72

A company is building a conversational AI assistant by using Amazon Bedrock AgentCore. The assistant must maintain context across multiple user interactions without requiring the company to manage infrastructure.

Which AgentCore feature meets these requirements?

Options:

A.  

Gateway

B.  

Browser Tool

C.  

Memory

D.  

Code Interpreter

Discussion 0
Question # 73

A company uses foundation models (FMs) to automate daily tasks. An AI practitioner is creating system instructions that include context relevant to the tasks. The AI practitioner wants to save and reuse the instructions in daily interactions with FMs in Amazon Bedrock.

Which Amazon Bedrock solution will meet these requirements?

Options:

A.  

Knowledge Bases

B.  

Guardrails

C.  

Playgrounds

D.  

Prompt management

Discussion 0
Question # 74

What does an F1 score measure in the context of foundation model (FM) performance?

Options:

A.  

Model precision and recall

B.  

Model speed in generating responses

C.  

Financial cost of operating the model

D.  

Energy efficiency of the model’s computations

Discussion 0
Question # 75

An online media streaming company wants to give its customers the ability to perform natural language-based image search and filtering. The company needs a vector database that can help with similarity searches and nearest neighbor queries.

Which AWS service meets these requirements?

Options:

A.  

Amazon Comprehend

B.  

Amazon Personalize

C.  

Amazon Polly

D.  

Amazon OpenSearch Service

Discussion 0
Question # 76

A company is building a generative AI application to help customers make travel reservations. The application will process customer requests and invoke the appropriate API calls to complete reservation transactions.

Which Amazon Bedrock resource will meet these requirements?

Options:

A.  

Agents

B.  

Intelligent prompt routing

C.  

Knowledge Bases

D.  

Guardrails

Discussion 0
Question # 77

An AI practitioner is developing a prompt for an Amazon Titan model. The model is hosted on Amazon Bedrock. The AI practitioner is using the model to solve numerical reasoning challenges. The AI practitioner adds the following phrase to the end of the prompt: " Ask the model to show its work by explaining its reasoning step by step. "

Which prompt engineering technique is the AI practitioner using?

Options:

A.  

Chain-of-thought prompting

B.  

Prompt injection

C.  

Few-shot prompting

D.  

Prompt templating

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 company has a foundation model (FM) that was customized by using Amazon Bedrock to answer customer queries about products. The company wants to validate the model ' s responses to new types of queries. The company needs to upload a new dataset that Amazon Bedrock can use for validation.

Which AWS service meets these requirements?

Options:

A.  

Amazon S3

B.  

Amazon Elastic Block Store (Amazon EBS)

C.  

Amazon Elastic File System (Amazon EFS)

D.  

AWS Showcone

Discussion 0
Question # 80

A company is developing an ML model to support the company ' s retail application. The company wants to use information that the model has produced from previous tasks to increase the learning speed of the model.

Which model training solution will meet these requirements?

Options:

A.  

Supervised learning

B.  

Hyperparameter tuning

C.  

Regularization techniques

D.  

Transfer learning

Discussion 0
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