Free Amazon AIF-C01 Exam Questions

What is an example of structured data?  

Match the following Amazon SageMaker services to the respective use cases:

A) SageMaker Data Wrangler

B) SageMaker Canvas

C) SageMaker Ground Truth

1) Harnessing human input across the ML lifecycle to improve the accuracy and relevancy of models

2) Offers 300+ pre-configured data transformations to prepare data for ML

3) No-code service with an intuitive, point-and-click interface

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 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 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?