An ecommerce company receives multiple gigabytes of customer data daily. The company uses the data to train an ML model to forecast future product demand. The company needs a solution to perform inferences once each day.Which inference type meets these requirements?
Answer(s): A
Batch inference is designed for high-volume, scheduled predictions: you can point it at the day’s gigabytes of data, run a job once daily, and generate all forecasts in one go without needing a persistent endpoint.
A company built an AI chatbot. The chatbot uses large language models (LLMs) to answer user questions. The company wants to keep the chatbot’s LLM instructions private.Which security risk should the company consider?
Answer(s): B
Prompt leakage is the risk that hidden system instructions or private prompts can be exposed to users, which could reveal the chatbot’s confidential LLM instructions.
A company wants to detect unauthorized API actions for foundation models (FMs) in Amazon Bedrock.Which solution meets these requirements?
AWS CloudTrail records and monitors Amazon Bedrock API activity, which helps detect unauthorized APIactions performed against foundation models.
A company is introducing a mobile app that helps users learn foreign languages. The app makes text more coherent by calling a large language model (LLM). The company collected a diverse dataset of text and supplemented the dataset with examples of more readable versions. The company wants the LLM output to resemble the provided examples.Which metric should the company use to assess whether the LLM meets these requirements?
Answer(s): C
ROUGE is a set of metrics that evaluates the quality of summaries by comparing the overlap of n-grams, word sequences, and word pairs between the model output and reference examples. Since the company is working on a language model that improves the coherence of text and wants the output to resemble the provided examples (which are more readable versions of the original text), ROUGE is the most appropriate metric. It assesses how closely the generated text matches the reference text in terms of content and readability.ROUGE score is commonly used to evaluate the performance of models in tasks like summarization, where the goal is to ensure the generated text aligns closely with human-provided examples.
A startup company is building a generative AI (GenAI) powered AI assistant on Amazon Bedrock. The company wants to minimize upfront costs and customize model responses for users.Which strategy will meet these requirements?
Prompt engineering is the most cost-effective way to customize a foundation model’s responses because it requires no additional model training. It lets the company tailor behavior and outputs through carefully designed prompts while minimizing upfront cost.
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