AWS Certified AI Practitioner AIF-C01 Practice Test

AWS Certified AI Practitioner AIF-C01 Practice Test practice questions, page 13 of 20, with answer review and explanations.

Question 61

A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model. The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure. Which solution will meet these requirements?

  1. Use Amazon SageMaker Serverless Inference to deploy the model.
  2. Use Amazon CloudFront to deploy the model.
  3. Use Amazon API Gateway to host the model and serve predictions.
  4. Use AWS Batch to host the model and serve predictions.

Question 62

An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available. Which AWS service can the company use to meet this requirement?

  1. AWS Audit Manager
  2. AWS Artifact
  3. AWS Trusted Advisor
  4. AWS Data Exchange

Question 63

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?

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

Question 64

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?

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

Question 65

An AI practitioner has a database of animal photos. The AI practitioner wants to automatically identify and categorize the animals in the photos without manual human effort. Which strategy meets these requirements?

  1. Object detection
  2. Anomaly detection
  3. Named entity recognition
  4. Inpainting