AWS Certified AI Practitioner AIF-C01 Practice Test

AWS Certified AI Practitioner AIF-C01 Practice Test practice questions, page 10 of 20, with answer review and explanations.

Question 46

A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer. What can Amazon Q Developer do to help the company meet these requirements?

  1. Create software snippets, reference tracking, and open source license tracking.
  2. Run an application without provisioning or managing servers.
  3. Enable voice commands for coding and providing natural language search.
  4. Convert audio files to text documents by using ML models.

Question 47

A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic. Which AWS service or feature will meet these requirements?

  1. AWS PrivateLink
  2. Amazon Macie
  3. Amazon CloudFront
  4. Internet gateway

Question 48

A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?" Which solution meets these requirements with the LEAST operational overhead?

  1. Use supervised learning to create a regression model that will predict probability.
  2. Use reinforcement learning to train a model to return the probability.
  3. Use code that will calculate probability by using simple rules and computations.
  4. Use unsupervised learning to create a model that will estimate probability density.

Question 49

Which metric measures the runtime efficiency of operating AI models?

  1. Customer satisfaction score (CSAT)
  2. Training time for each epoch
  3. Average response time
  4. Number of training instances

Question 50

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?

  1. Build a conversational chatbot by using Amazon Lex.
  2. Transcribe call recordings by using Amazon Transcribe.
  3. Extract information from call recordings by using Amazon SageMaker Model Monitor.
  4. Create classification labels by using Amazon Comprehend.