AI1-C01 PRINTABLE PDF - EXAM AI1-C01 OBJECTIVES PDF

AI1-C01 Printable PDF - Exam AI1-C01 Objectives Pdf

AI1-C01 Printable PDF - Exam AI1-C01 Objectives Pdf

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Tags: AI1-C01 Printable PDF, Exam AI1-C01 Objectives Pdf, AI1-C01 New Braindumps Ebook, New AI1-C01 Practice Questions, Reliable AI1-C01 Test Objectives

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Are you planning to attempt the Amazon AI1-C01 certification exam and don't know where to study for it and pass it with good marks? DumpStillValid has designed the AWS Certified AI Practitioner Exam (AI1-C01) Questions, especially for the students who want to pass the AI1-C01 Certification Exam with good marks in a short time. These AWS Certified AI Practitioner Exam (AI1-C01) practice test questions are available in three different formats that you can carry with you anywhere and even do preparation in extra or free time with ease.

Amazon AWS Certified AI Practitioner Exam Sample Questions (Q57-Q62):

NEW QUESTION # 57
Which term describes the numerical representations of real-world objects and concepts that AI and natural language processing (NLP) models use to improve understanding of textual information?

  • A. Embeddings
  • B. Models
  • C. Tokens
  • D. Binaries

Answer: A


NEW QUESTION # 58
A company has built a solution by using generative AI.
The solution uses large language models (LLMs) to translate training manuals from English into other languages.
The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.
Which model evaluation strategy meets these requirements?

  • A. Root mean squared error (RMSE)
  • B. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
  • C. F1 score
  • D. Bilingual Evaluation Understudy (BLEU)

Answer: D


NEW QUESTION # 59
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?

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

Answer: C


NEW QUESTION # 60
How can companies use large language models (LLMs) securely on Amazon Bedrock?

  • A. Enable AWS Audit Manager for automatic model evaluation jobs.
  • B. Design clear and specific prompts. Configure AWS Identity and Access Management (IAM) roles and policies by using least privilege access.
  • C. Enable Amazon Bedrock automatic model evaluation jobs.
  • D. Use Amazon CloudWatch Logs to make models explainable and to monitor for bias.

Answer: B


NEW QUESTION # 61
A medical company deployed a disease detection model on Amazon Bedrock. To comply with privacy policies, the company wants to prevent the model from including personal patient information in its responses. The company also wants to receive notification when policy violations occur.
Which solution meets these requirements?

  • A. Use Amazon Macie to scan the model's output for sensitive data and set up alerts for potential violations.
  • B. Configure AWS CloudTrail to monitor the model's responses and create alerts for any detected personal information.
  • C. Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms fornotification of policy violations.
  • D. Implement Amazon SageMaker Model Monitor to detect data drift and receive alerts when model quality degrades.

Answer: C

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


NEW QUESTION # 62
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