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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q74-Q79):
NEW QUESTION # 74
A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams.
Which SageMaker feature meets these requirements?
- A. Amazon SageMaker Clarify
- B. Amazon SageMaker Model Cards
- C. Amazon SageMaker Feature Store
- D. Amazon SageMaker Data Wrangler
Answer: C
NEW QUESTION # 75
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?
- A. Increase the temperature parameter on invocation requests to the LLM.
- B. Avoid using LLMs that are not listed in Amazon SageMaker.
- C. Create a prompt template that teaches the LLM to detect attack patterns.
- D. Decrease the number of input tokens on invocations of the LLM.
Answer: C
NEW QUESTION # 76
A company wants to use language models to create an application for inference on edge devices.
The inference must have the lowest latency possible.
Which solution will meet these requirements?
- A. Deploy optimized large language models (LLMs) on edge devices.
- B. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
- C. Deploy optimized small language models (SLMs) on edge devices.
- D. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
Answer: C
NEW QUESTION # 77
A company manually reviews all submitted resumes in PDF format. As the company grows, the company expects the volume of resumes to exceed the company's review capacity. The company needs an automated system to convert the PDF resumes into plain text format for additional processing.
Which AWS service meets this requirement?
- A. Amazon Lex
- B. Amazon Textract
- C. Amazon Personalize
- D. Amazon Transcribe
Answer: B
NEW QUESTION # 78
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. Bilingual Evaluation Understudy (BLEU)
- B. F1 score
- C. Root mean squared error (RMSE)
- D. Recall-Oriented Understudy for Gisting Evaluation (ROUGE)
Answer: A
NEW QUESTION # 79
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