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1. A company has developed an ML model for image classification. The company wants to deploy the model to production so that a web application can use the model.
The company needs to implement a solution to host the model and serve predictions without managing any of the underlying infrastructure.
Which solution will meet these requirements?

A) Use Amazon CloudFront to deploy the model.
B) Use AWS Batch to host the model and serve predictions.
C) Use Amazon API Gateway to host the model and serve predictions.
D) Use Amazon SageMaker Serverless Inference to deploy the model.

2. A company has installed a security camera. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.
Which type of bias is affecting the model output?

A) Confirmation bias
B) Observer bias
C) Measurement bias
D) Sampling bias

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

4. A company has built a chatbot that can respond to natural language questions with images. The company wants to ensure that the chatbot does not return inappropriate or unwanted images.
Which solution will meet these requirements?

A) Perform model validation.
B) Retrain the model with a general public dataset.
C) Implement moderation APIs.
D) Automate user feedback integration.

5. A social media company wants to use a large language model (LLM) for content moderation. The company wants to evaluate the LLM outputs for bias and potential discrimination against specific groups or individuals.
Which data source should the company use to evaluate the LLM outputs with the LEAST administrative effort?

A) Benchmark datasets
B) Moderation logs
C) Content moderation guidelines
D) User-generated content

問題與答案：