Amazon AIF-C01 AWS Certified AI Practitioner Exam Exam Practice Test Questions

• Question 1

  An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.How should the AI practitioner prevent responses based on confidential data?

  • Delete the custom model. Remove the confidential data from the training dataset. Retrain the custom model.
  • Mask the confidential data in the inference responses by using dynamic data masking.
  • Encrypt the confidential data in the inference responses by using Amazon SageMaker.
  • Encrypt the confidential data in the custom model by using AWS Key Management Service (AWS KMS).

  Show Answer Answer: A Next

• Question 2

  A company is using the Generative AI Security Scoping Matrix to assess security responsibilities for its solutions. The company has identified four different solution scopes based on the matrix.Which solution scope gives the company the MOST ownership of security responsibilities?

  • Using a third-party enterprise application that has embedded generative AI features.
  • Building an application by using an existing third-party generative AI foundation model (FM).
  • Refining an existing third-party generative AI foundation model (FM) by fine-tuning the model by using data specific to the business.
  • Building and training a generative AI model from scratch by using specific data that a customer owns.

  Show Answer Answer: D Next

• Question 3

  A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns. The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.Which solution meets these requirements?

  • Optimize the model's architecture and hyperparameters to improve the model's overall performance.
  • Increase the model's complexity by adding more layers to the model's architecture.
  • Create effective prompts that provide clear instructions and context to guide the model's generation.
  • Select a large, diverse dataset to pre-train a new generative model.

  Show Answer Answer: C Next

• Question 4

  A company wants to use a large language model (LLM) to develop a conversational agent. The company needs to prevent the LLM from being manipulated with common prompt engineering techniques to perform undesirable actions or expose sensitive information.Which action will reduce these risks?

  • Create a prompt template that teaches the LLM to detect attack patterns.
  • Increase the temperature parameter on invocation requests to the LLM.
  • Avoid using LLMs that are not listed in Amazon SageMaker.
  • Decrease the number of input tokens on invocations of the LLM.

  Show Answer Answer: A Next

• Question 5

  A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects theoutput.Which ML algorithm meets these requirements?

  • Decision trees
  • Linear regression
  • Logistic regression
  • Neural networks

  Show Answer Answer: A Next