AWS Certified Cloud Practitioner
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A retail analytics company wants to analyze customer reviews and detect emotions such as happiness, anger, and frustration. Which foundation model type in Bedrock is most appropriate?
Real Exam
Community
RRitesh
0
A
Text-based foundation model (NLP)
B
Image generation model
C
Embedding model
D
Code generation model
Explanation:
Explanation
The correct answer is A) Text-based foundation model (NLP) because:
- Natural Language Processing (NLP) models are specifically designed to understand, interpret, and analyze human language
- Emotion detection in customer reviews involves understanding sentiment, tone, and emotional context from text data
- Text-based foundation models can classify emotions like happiness, anger, and frustration from written text
- Amazon Bedrock offers various NLP foundation models that are trained for sentiment analysis and emotion detection tasks
Other options are not suitable:
- B) Image generation model: Used for creating images, not analyzing text
- C) Embedding model: Converts text to numerical vectors but doesn't directly perform emotion classification
- D) Code generation model: Designed for generating programming code, not analyzing customer sentiment
For emotion detection in customer reviews, a text-based NLP foundation model is the most appropriate choice as it can understand linguistic patterns and contextual cues that indicate different emotional states.
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