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Amazon AWS Certified AI Practitioner Exam Sample Questions (Q62-Q67):

NEW QUESTION # 62
A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.
An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.
What should the AI practitioner include in the report to meet the transparency and explainability requirements?

A. Partial dependence plots (PDPs)
B. Code for model training
C. Sample data for training
D. Model convergence tables

Answer: A

NEW QUESTION # 63
A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.
Which solution will meet this requirement?

A. Enable model invocation logging
B. Choose a lower temperature value
C. Create an Amazon Bedrock knowledge base
D. Use a different FM

Answer: C

NEW QUESTION # 64
Which option is a use case for generative AI models?

A. Enhancing database performance by using optimized indexing
B. Improving network security by using intrusion detection systems
C. Creating photorealistic images from text descriptions for digital marketing
D. Analyzing financial data to forecast stock market trends

Answer: C

NEW QUESTION # 65
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. Incorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
B. Deploy optimized large language models (LLMs) on edge devices.
C. Deploy optimized small language models (SLMs) on edge devices.
D. Incorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.

Answer: C

NEW QUESTION # 66
A company wants to use a pre-trained generative AI model to generate content for its marketing campaigns.
The company needs to ensure that the generated content aligns with the company's brand voice and messaging requirements.
Which solution meets these requirements?

A. Increase the model's complexity by adding more layers to the model's architecture.
B. Optimize the model's architecture and hyperparameters to improve the model's overall performance.
C. Create effective prompts that provide clear instructions and context to guide the model's generation.
D. Select a large, diverse dataset to pre-train a new generative model.

Answer: C

NEW QUESTION # 67
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