Download Full Version SAA-C03 Amazon Web Services Exam

Create an Amazon EMR cluster with Apache Spark installed. Write a Spark application to transform the data. Use EMR File System (EMRFS) to write files to the transformed data bucket.

Create an AWS Glue crawler to discover the data. Create an AWS Glue extract, transform, and load (ETL) job to transform the data. Specify the transformed data bucket in the output step.

Use AWS Batch to create a job definition with Bash syntax to transform the data and output the data to the transformed data bucket. Use the job definition to submit a job. Specify an array job as the job type.

Create an AWS Lambda function to transform the data and output the data to the transformed data bucket. Configure an event notification for the S3 bucket. Specify the Lambda function as the destination for the event notification.

Use AWS Trusted Advisor to set up budget notifications. Configure Amazon CloudWatch to monitor costs. Export CloudWatch data to Amazon S3. Use machine learning (ML) to estimate future trends based on the CloudWatch data.

Create a budget in AWS Budgets that has a specified cost threshold. Create an AWS Lambda function that sends a notification to the company when costs reach the specified threshold. Use AWS Billing and Cost Management reports to monitor costs.

Use AWS Cost Explorer to set a specified budget threshold. Create an AWS Lambda function to calculate cost estimates. Configure the Lambda function to send a notification to an Amazon Simple Notification Service (Amazon SNS) topic if estimated costs exceed the specified threshold.

Create a budget in AWS Budgets that has a specified cost threshold. Configure AWS Budgets to send budget alerts to an Amazon Simple Notification Service (Amazon SNS) topic. Use AWS Cost Explorer to monitor costs.

Configure the RDS backup retention policy to 30 days tor automated backups by using AWS Backup. Manually delete manual backups that are older than 30 days.

Disable RDS automated backups. Delete automated backups and manual backups that are older than 30 days. Configure the RDS backup retention policy to 30 days tor automated backups.

Configure the RDS backup retention policy to 30 days for automated backups. Manually delete manual backups that are older than 30 days

Disable RDS automated backups. Delete automated backups and manual backups that are older than 30 days automatically by using AWS CloudFormation. Configure the RDS backup retention policy to 30 days for automated backups.

Modify the RDS DB instance to use a Multi-AZ deployment. Apply the changes during the next maintenance window.

Migrate the current database to a new Amazon DynamoDB Multi-AZ deployment. Use AWS Database Migration Service (AWS DMS) with a heterogeneous migration strategy to migrate the current RDS DB instance to DynamoDB tables.

Create a new RDS DB instance in a Multi-AZ deployment. Manually restore the data from the existing RDS DB instance from the most recent snapshot.

Configure the DB instance in an Amazon EC2 Auto Scaling group with a minimum group size of three. Use Amazon Route 53 simple routing to distribute requests to all DB instances.