Become Amazon Certified with updated AIF-C01 exam questions and correct answers
A tech company is developing an AI-powered customer support solution using Retrieval-Augmented Generation (RAG) with Amazon Bedrock to provide more accurate and context-aware responses. To achieve this, the company needs a database that can handle fast index lookups and similarity searches to quickly retrieve the most relevant documents or information from a large dataset. The ideal database solution should efficiently support search queries and rank results based on their relevance to the input provided by the user.Given these requirements, which database solution would be most appropriate for the company to use?
Which of the following AWS services powers Amazon Q Business?
A financial company is training a generative AI model to predict outcomes of loan applications. Thetraining dataset is small. The dataset categorizes loan applicants as "younger-aged," "middle-aged,"or "older-aged." Most individuals in the dataset are characterized as "middle-aged."The company removes the age range feature from the training dataset.Which model behavior will likely happen as a result of this change to the dataset?
A traffic monitoring application needs to detect license plate numbers for the vehicles that pass a certain location from 11 PM to 7 AM every day.
Which ML-powered AWS service is the right fit for this requirement?
A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base. Which technique should the company use to optimize the generated responses?
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