AWS Certified AI Practitioner (AIF-C01)

The AWS Certified AI Practitioner (AIF-C01) were last updated on today.
  • Viewing page 8 out of 24 pages.
  • Viewing questions 36-40 out of 120 questions
Disclaimers:
  • - ExamTopics website is not related to, affiliated with, endorsed or authorized by Amazon.and Azure
  • - Trademarks, certification & product names are used for reference only and belong to Amazon.and Azure

Topic 1 - Exam A

Question #36 Topic 1

A company needs to use Amazon SageMaker for model training and inference. The company must comply with regulatory requirements to run SageMaker jobs in an isolated environment without internet access. Which solution will meet these requirements?

  • A Run SageMaker training and inference by using SageMaker Experiments.
  • B Run SageMaker training and Inference by using network Isolation.
  • C Encrypt the data at rest by using encryption for SageMaker geospatial capabilities.
  • D Associate appropriate AWS Identity and Access Management (IAM) roles with the SageMaker jobs.
Suggested Answer: B
NOTE: 选择B是因为SageMaker的网络隔离功能可以确保SageMaker作业在一个没有互联网访问的隔离环境中运行,这符合公司的监管要求。而其他选项虽然也涉及SageMaker的功能,但并未直接解决在无互联网环境下运行的问题。
Question #37 Topic 1

A company is testing the security of a foundation model (FM). During testing, the company wants to get around the safety features and make harmful content. Which security technique is this an example of?

  • A Fuzzing training data to find vulnerabilities
  • B Denial of service (DoS)
  • C Penetration testing with authorization
  • D Jailbreak
Suggested Answer: D
NOTE: -
Question #38 Topic 1

A social media company wants to use a large language model (LLM) to summarize messages. The company has chosen a few LLMs that are available on Amazon SageMaker JumpStart. The company wants to compare the generated output toxicity of these models. Which strategy gives the company the ability to evaluate the LLMs with the LEAST operational overhead?

  • A Crowd-sourced evaluation
  • B Automatic model evaluation
  • C Model evaluation with human workers
  • D Reinforcement learning from human feedback (RLHF)
Suggested Answer: B
NOTE: 选项 B 'Automatic model evaluation' 是正确答案,因为自动模型评估通常会使用预定义的指标来衡量模型输出的质量和毒性等特性。这种方法可以减少人工干预,从而降低运营开销。
Question #39 Topic 1

A company wants to use Amazon Bedrock. The company needs to review which security aspects the company is responsible for when using Amazon Bedrock. Which security aspect will the company be responsible for?

  • A Patching and updating the versions of Amazon Bedrock
  • B Protecting the infrastructure that hosts Amazon Bedrock
  • C Securing the company's data in transit and at rest
  • D Provisioning Amazon Bedrock within the company network
Suggested Answer: C
NOTE: 根据Amazon Bedrock的服务特性,用户负责数据在传输和静止状态下的安全保护。这包括加密数据、管理密钥以及确保符合公司的安全策略。
Question #40 Topic 1

Which prompting attack directly exposes the configured behavior of a large language model (LLM)?

  • A Prompted persona switches
  • B Exploiting friendliness and trust
  • C Ignoring the prompt template
  • D Extracting the prompt template
Suggested Answer: D
NOTE: 选项D(提取提示模板)直接暴露了大型语言模型(LLM)的配置行为,因为攻击者可以通过分析提示模板来了解和利用模型的工作机制。