QUESTION: 5

A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language.
Which solution will align the LLM response quality with the company's expectations?

Adjust the prompt.
Choose an LLM of a different size.
Increase the temperature.
Increase the Top K value.

Answer(s): A

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QUESTION: 6

A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency.
Which SageMaker inference option meets these requirements?

Real-time inference
Serverless inference
Asynchronous inference
Batch transform

Answer(s): C

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QUESTION: 7

A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks.
Which ML strategy meets these requirements?

Increase the number of epochs.
Use transfer learning.
Decrease the number of epochs.
Use unsupervised learning.

Answer(s): B

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QUESTION: 8

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations.
Which solution will meet these requirements?

Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus
Data augmentation by using an Amazon Bedrock knowledge base
Image recognition by using Amazon Rekognition
Data summarization by using Amazon QuickSight Q

Answer(s): A

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QUESTION: 8

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