Free Amazon AIF-C01 Exam Questions

A company is building an ML model. The company collected new data and analyzed the data by creating a

correlation matrix, calculating statistics, and visualizing the data.

Which stage of the ML pipeline is the company currently in?

A company is building a custom AI solution in Amazon SageMaker Studio to analyze financialtransactions for fraudulent activity in real time. The company needs to ensure that the connectivityfrom SageMaker Studio to Amazon Bedrock traverses the companys VPC.Which solution meets these requirements? 

A retail company is using an Amazon SageMaker machine learning model to analyze customer purchasing patterns and predict future buying behavior. The data scientists at the company regularly need to process datasets of less than 1 GB, such as daily sales records and customer interaction logs. The company does not require immediate responses and can afford some delay in receiving the analysis results, as the insights are primarily used for weekly strategy meetings.Which inference method would be the most suitable for the company in this scenario?

A company is using Amazon Bedrock and it wants to set an upper limit on the number of tokens returned in the model's response.Which of the following inference parameters would you recommend for the given use case?

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