GET FREE UPDATES FOR AMAZON AI1-C01 EXAM DUMPS QUESTIONS

Get Free Updates For Amazon AI1-C01 Exam Dumps Questions

Get Free Updates For Amazon AI1-C01 Exam Dumps Questions

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q11-Q16):

NEW QUESTION # 11
A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.
Which Amazon SageMaker inference option will meet these requirements?

  • A. Asynchronous inference
  • B. Batch transform
  • C. Serverless inference
  • D. Real-time inference

Answer: B

Explanation:
I'll continue with more questions shortly. Stay tuned!


NEW QUESTION # 12
A company is building a chatbot to improve user experience. The company is using a large language model (LLM) from Amazon Bedrock for intent detection. The company wants to use few-shot learning to improve intent detection accuracy.
Which additional data does the company need to meet these requirements?

  • A. Pairs of user intents and correct chatbot responses
  • B. Pairs of chatbot responses and correct user intents
  • C. Pairs of user messages and correct chatbot responses
  • D. Pairs of user messages and correct user intents

Answer: D


NEW QUESTION # 13
A company wants to display the total sales for its top-selling products across various retail locations in the past 12 months.
Which AWS solution should the company use to automate the generation of graphs?

  • A. Amazon Q in Amazon QuickSight
  • B. Amazon Q in Amazon EC2
  • C. Amazon Q Developer
  • D. Amazon Q in AWS Chatbot

Answer: A


NEW QUESTION # 14
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?

  • A. Use reinforcement learning to train a model to return the probability.
  • B. Use supervised learning to create a regression model that will predict probability.
  • C. Use code that will calculate probability by using simple rules and computations.
  • D. Use unsupervised learning to create a model that will estimate probability density.

Answer: C


NEW QUESTION # 15
A company is building a large language model (LLM) question answering chatbot. The company wants to decrease the number of actions call center employees need to take to respond to customer questions.
Which business objective should the company use to evaluate the effect of the LLM chatbot?

  • A. Regulatory compliance
  • B. Website engagement rate
  • C. Average call duration
  • D. Corporate social responsibility

Answer: C


NEW QUESTION # 16
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