Free Amazon AIF-C01 Exam Questions

A security company is evaluating Amazon Rekognition to enhance its Machine Learning (ML) capabilities. However, the data science team needs to identify scenarios where Amazon Rekognition may not be the most suitable solution. Understanding these limitations will help the team select the right tools for different aspects of their security system.Given this context, which of the following use cases is NOT the right fit for Amazon Rekognition?

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service. Which AWS service meets these requirements? 

A retail company is looking to implement AI-driven solutions to enhance its in-store operations, such as automating inventory management and improving security through visual monitoring. The company wants to leverage pre-trained computer vision (CV) models for fast deployment but also needs the flexibility to customize these models to fit specific business needs. To make an informed decision, the team is evaluating AWS services that offer both pre-trained and customizable computer vision capabilities.What do you suggest?

An AI paritioner is developing a new ML model. After training the model, the AI practitionerevaluates the accuracy of the model's predictions. The model's accuracy is low when the model usesboth the training dataset and the test dataset.Which scenario is the MOST likely cause of this problem? 

An AI practitioner is using an Amazon Bedrock base model to summarize session chats from thecustomer service department. The AI practitioner wants to store invocation logs to monitor modelinput and output data.