AWS Certified Associate SOA-C02 Dumps PDF

The policy provided includes two statements:

The first statement explicitly denies the Update:* action on resources with a LogicalResourceId that begins with "Production".

The second statement allows the Update:* action on all resources.

In AWS IAM policy evaluation logic, explicit denies always take precedence over allows. Therefore, the effect of this policy is that users can update all resources in the stack except for those with a logical ID that begins with "Production".

To restrict access to an Amazon S3 bucket to Amazon EC2 instances in a VPC only, and ensure all traffic is over the AWS private network, the SysOps administrator should create a VPC endpoint for the S3 bucket and create an S3 bucket policy that conditionally limits all S3 actions on the bucket to the VPC endpoint as the source.

Create a VPC Endpoint for S3:

Open the VPC console.

Choose "Endpoints" and then "Create Endpoint."

Select the service name "com.amazonaws.[region].s3."

Choose the VPC and the subnets where the EC2 instances reside.

Configure the route tables to include the VPC endpoint.

Create an S3 Bucket Policy:

Open the S3 console and select the bucket.

Go to the "Permissions" tab and edit the bucket policy.

Add a condition to the policy to allow access only from the VPC endpoint.

Example policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Principal": "*",

"Action": "s3:*",

"Resource": [

"arn:aws:s3:::your-bucket-name",

"arn:aws:s3:::your-bucket-name/*"

],

"Condition": {

"StringEquals": {

"aws:sourceVpce": "vpce-12345678"

}

}

}

]

}

Amazon S3 VPC Endpoints

Amazon S3 Bucket Policies

To ensure high availability and failover for RDS, converting the instance to a Multi-AZ deployment is the best practice. Multi-AZ configurations provide automated standby in a different Availability Zone, automatically failing over to the standby in case of instance or Availability Zone issues.

Modify DB instance: AWS allows for seamless conversion of an existing Single-AZ RDS instance to a Multi-AZ deployment, making it more resilient to outages without requiring significant application changes.

Failover mechanism: In Multi-AZ, failover is managed automatically by AWS, minimizing application downtime.

To reduce costs effectively for jobs that are flexible in their scheduling and have a clear, predictable runtime:

Spot Instances with Defined Duration (Spot Blocks): Spot Instances offer significant discounts compared to On-Demand pricing. For workloads like the described jobs that have a predictable duration (slightly less than 2 hours), requesting Spot Instances with a defined duration (also known as Spot Blocks) is ideal. This option allows you to request Spot Instances guaranteed to not be terminated by AWS due to price changes for the duration specified.

Cost Efficiency: This method ensures that the instances will run for the duration required to complete the jobs without interruption, unless AWS experiences an exceptional shortage of capacity. The cost savings compared to On-Demand Instances can be substantial, especially for regular, predictable workloads.

Risk Mitigation: Although Spot Instances can be interrupted, using them with a defined duration reduces the risk of interruptions within the set time frame, making them suitable for jobs that can tolerate a restart in rare cases of interruption after the block time expires.

This strategy combines cost savings with the performance requirements of the jobs, making it an optimal choice for tasks that are not time-critical but need completion within a predictable timeframe.