AWS ML Speciality Quiz

## You work for a financial services firm that wishes to enhance its fraud detection capabilities further. The firm has implemented fine-grained transaction logging for all transactions their customers make using their credit cards. The fraud prevention department would like to use this data to produce dashboards to give them insight into their customer’s transaction activity and provide real-time fraud prediction. You plan to build a fraud detection model using the transaction observation data with Amazon SageMaker. Each transaction observation has a date-time stamp. In its raw form, the date-time stamp is not very useful in your prediction model since it is unique. Can you make use of the date-time stamp in your fraud prediction model, and if so, how? - Source control automation - [X] Manual, script-driven, and interactive process > Correct Answer - Feature store integration - Pipeline continuous integration ## What is the process of monitoring, measuring, retraining, and serving ML models automatically and continuously to adapt to changes in the data before they’re redeployed? - Continuous delivery - Continuous integration - [X] Continuous training > Correct Answer - Continuous deployment