AI1-C01 EXAM TRAINING, AI1-C01 EXAM OBJECTIVES PDF

AI1-C01 Exam Training, AI1-C01 Exam Objectives Pdf

AI1-C01 Exam Training, AI1-C01 Exam Objectives Pdf

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Tags: AI1-C01 Exam Training, AI1-C01 Exam Objectives Pdf, AI1-C01 Reliable Test Materials, AI1-C01 Reliable Braindumps Ebook, Practice AI1-C01 Online

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AI1-C01 Exam Objectives Pdf & AI1-C01 Reliable Test Materials

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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q64-Q69):

NEW QUESTION # 64
An AI practitioner has built a deep learning model to classify the types of materials in images. The AI practitioner now wants to measure the model performance.
Which metric will help the AI practitioner evaluate the performance of the model?

  • A. Confusion matrix
  • B. R2 score
  • C. Correlation matrix
  • D. Mean squared error (MSE)

Answer: A


NEW QUESTION # 65
An accounting firm wants to implement a large language model (LLM) to automate document processing.
The firm must proceed responsibly to avoid potential harms.
What should the firm do when developing and deploying the LLM? (Select TWO.)

  • A. Adjust the temperature parameter of the model.
  • B. Modify the training data to mitigate bias.
  • C. Include fairness metrics for model evaluation.
  • D. Apply prompt engineering techniques.
  • E. Avoid overfitting on the training data.

Answer: B,C

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


NEW QUESTION # 66
A company has terabytes of data in a database that the company can use for business analysis. The company wants to build an AI-based application that can build a SQL query from input text that employees provide.
The employees have minimal experience with technology.
Which solution meets these requirements?

  • A. WaveNet
  • B. Support vector machine
  • C. Residual neural network
  • D. Generative pre-trained transformers (GPT)

Answer: D


NEW QUESTION # 67
A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?

  • A. Increase the number of epochs.
  • B. Use unsupervised learning.
  • C. Use transfer learning.
  • D. Decrease the number of epochs.

Answer: C


NEW QUESTION # 68
A large retailer receives thousands of customer support inquiries about products every day. The customer support inquiries need to be processed and responded to quickly. The company wants to implement Agents for Amazon Bedrock.
What are the key benefits of using Amazon Bedrock agents that could help this retailer?

  • A. Automatically calling multiple foundation models (FMs) and consolidating the results
  • B. Selecting the foundation model (FM) based on predefined criteria and metrics
  • C. Generation of custom foundation models (FMs) to predict customer needs
  • D. Automation of repetitive tasks and orchestration of complex workflows

Answer: D


NEW QUESTION # 69
......

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