AWS Certified Associate SAA-C03 Amazon Web Services Study Notes

Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.

Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.

Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.

Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.

Establish AWS VPN connections and proxy all traffic through a VPC gateway endpoint

Establish a new AWS Direct Connect connection and direct backup traffic through this new connection.

Order daily AWS Snowball devices Load the data onto the Snowball devices and return the devices to AWS each day.

Submit a support ticket through the AWS Management Console Request the removal of S3 service limits from the account.

Use an Amazon S3 bucket as a secure transfer point. Use Amazon Inspector to scan me objects in the bucket. If objects contain Pll. trigger an S3 Lifecycle policy to remove the objects that contain Pll.

Use an Amazon S3 bucket as a secure transfer point. Use Amazon Macie to scan the objects in the bucket. If objects contain Pll. Use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects mat contain Pll.

Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. It objects contain Rll. use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain Pll.

Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain Pll. use Amazon Simple Email Service (Amazon STS) to trigger a notification to the administrators and trigger on S3 Lifecycle policy to remove the objects mot contain PII.

Use AWS Budgets to create a budget report and compare EC2 costs based on instance types

Use Cost Explorer's granular filtering feature to perform an in-depth analysis of EC2 costs based on instance types

Use graphs from the AWS Billing and Cost Management dashboard to compare EC2 costs based on instance types for the last 2 months

Use AWS Cost and Usage Reports to create a report and send it to an Amazon S3 bucket Use Amazon QuickSight with Amazon S3 as a source to generate an interactive graph based on instance types.