Free AIF-C01 Exam Braindumps
AWS Certified AI Practitioner (page: 7)

Updated On: 19-Oct-2026

A retail company wants to add a virtual shopping assistant to its website. The assistant must answer product questions in natural language and continue the interaction when customers ask follow-up questions in different ways.
Which capability of generative AI (GenAI) supports these requirements?

  1. Generates context-aware replies during multi-turn conversations
  2. Guarantees identical replies for repeated customer questions
  3. Answers accurately without access to company product data
  4. Completely removes the need for human review of customer-facing outputs

Answer(s): A

Explanation:

Generative AI can maintain conversational context across multiple turns, allowing a virtual shopping assistant to understand follow-up questions even when customers phrase them differently. This supports natural,
context-aware interactions about products over the course of a conversation.



A company built an AI-powered resume screening system. The company used a large dataset to train the model. The dataset contained resumes that were not representative of all demographics.
Which core dimension of responsible AI does this scenario present?

  1. Fairness
  2. Explainability
  3. Privacy and security
  4. Transparency

Answer(s): A

Explanation:

The scenario describes a dataset that is not representative of all demographics, which can lead to biased model predictions. This directly relates to fairness, a core dimension of responsible AI that ensures AI systems make unbiased and equitable decisions across different demographic groups. Addressing fairness involves techniques such as balanced dataset curation, bias detection, and mitigation strategies to ensure that the AI
system does not discriminate against any group.



A company wants to set up private access to Amazon Bedrock APIs from the company’s AWS account. The company also wants to protect its data from internet exposure.
Which solution meets these requirements?

  1. Use Amazon CloudFront to restrict access to the company’s private content.
  2. Use AWS Glue to set up data encryption across the company’s data catalog.
  3. Use AWS Lake Formation to manage centralized data governance and cross-account data sharing.
  4. Use AWS PrivateLink to configure a private connection between the company’s VPC and Amazon Bedrock.

Answer(s): D

Explanation:

AWS PrivateLink enables private connectivity between your VPC and Amazon Bedrock APIs without exposing data to the public internet, ensuring that all API calls and data transfers remain secure and private within your
AWS account.



A company plans to build an AI model for the company’s global customer base. The company wants to train the model on a dataset that reflects user diversity.
Which action will meet this requirement?

  1. Balance class representation in the dataset.
  2. Use a regional dataset with complete data.
  3. Oversample majority class data.
  4. Drop minority class data records.

Answer(s): A

Explanation:

Balancing class representation ensures that all groups in the dataset are adequately represented, which helps the model learn patterns across diverse users and reduces bias.



A company is working on a large language model (LLM) and noticed that the LLM’s outputs are not as diverse as expected.
Which parameter should the company adjust?

  1. Temperature
  2. Batch size
  3. Learning rate
  4. Optimizer type

Answer(s): A

Explanation:

The “temperature” parameter controls the randomness and diversity of outputs generated by a large language model. Increasing the temperature produces more diverse and creative responses, while lowering it makes the outputs more focused and deterministic.



Viewing page 7 of 108
Viewing questions 31 - 35 out of 535 questions


Post your Comments and Discuss Amazon AIF-C01 exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!