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Amazon AWS Certified AI Practitioner Sample Questions:

1. 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) Create an Amazon Bedrock knowledge base
C) Choose a lower temperature value
D) Use a different FM

2. An e-commerce company wants to build a solution to determine customer sentiments based on written customer reviews of products.
Which AWS services meet these requirements? (Select TWO.)

A) Amazon Rekognition
B) Amazon Comprehend
C) Amazon Bedrock
D) Amazon Polly
E) Amazon Lex

3. 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.

4. A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly.
Which evaluation metric should the company use to measure the model's performance?

A) R-squared score
B) Accuracy
C) Learning rate
D) Root mean squared error (RMSE)

5. A company wants to use large language models (LLMs) with Amazon Bedrock to develop a chat interface for the company's product manuals. The manuals are stored as PDF files.
Which solution meets these requirements MOST cost-effectively?

A) Use all the PDF documents to fine-tune a model with Amazon Bedrock. Use the fine-tuned model to process user prompts.
B) Use prompt engineering to add one PDF file as context to the user prompt when the prompt is submitted to Amazon Bedrock.
C) Use prompt engineering to add all the PDF files as context to the user prompt when the prompt is submitted to Amazon Bedrock.
D) Upload PDF documents to an Amazon Bedrock knowledge base. Use the knowledge base to provide context when users submit prompts to Amazon Bedrock.

Solutions: