Which type of AI model makes numeric predictions?
Answer(s): B
Regression models are designed to predict continuous numerical values (for example, forecasting sales figures or estimating house prices), making them the appropriate choice for numeric predictions.
An AI practitioner wants to generate more diverse and more creative outputs from a large language model(LLM).How should the AI practitioner adjust the inference parameter?
Answer(s): A
Raising the temperature softens the model’s probability distribution, increasing the chance of sampling less-likely tokens and thus producing more varied and creative responses.
An AI practitioner trained a custom model on Amazon Bedrock by using a training dataset that contains confidential data. The AI practitioner wants to ensure that the custom model does not generate inference responses based on confidential data.How should the AI practitioner prevent responses based on confidential data?
To ensure that the custom model does not generate responses based on confidential data, the best approach is to retrain the model without including the confidential data. This prevents the model from learning patterns associated with that sensitive information, thereby avoiding its use in inference. The other options do not address the root cause of the issue—removing confidential data from the training process.
A company deployed a Retrieval Augmented Generation (RAG) application on Amazon Bedrock that gathers financial news to distribute in daily newsletters. Users have recently reported politically influenced ideas in the newsletters.Which Amazon Bedrock guardrail can identify and filter this content?
The Denied topics guardrail lets you define high-level categories (such as politics) that the model must avoid.Bedrock enforces these rules during generation, filtering out any content related to politically influenced ideas.
Which strategy evaluates the accuracy of a foundation model (FM) that is used in image classification tasks?
Evaluating a foundation model's accuracy by measuring its performance against a predefined benchmark dataset is the standard approach for assessing accuracy in image classification tasks. The other options do not provide an appropriate measure of classification accuracy.
Post your Comments and Discuss Amazon AIF-C01 exam prep with other Community members:
Our website is free, but we have to fight against AI bots and content theft. We're sorry for the inconvenience caused by these security measures. You can access the rest of the AIF-C01 content, but please register or login to continue.