Amazon Web Services Updated SAA-C03 Exam Questions and Answers by philip

This answer is correct because it meets the requirements of hosting a scalable web application that can handle large data transfers from different geographic regions. Amazon EC2 provides scalable compute capacity for hosting web applications. Auto Scaling can automatically adjust the number of EC2 instances based on the demand and traffic patterns. Amazon CloudFront is a content delivery network (CDN) that can cache static and dynamic content at edge locations closer to the users, reducing latency and improving performance. CloudFront can also use S3 Transfer Acceleration to speed up the transfers between S3 buckets and CloudFront edge locations.

References:

https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html

https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Introduction.html

https://aws.amazon.com/s3/transfer-acceleration/

This answer is correct because it reflects the effect of the IAM policy on the group members. The policy has two statements: one with an Allow effect and one with a Deny effect. The Allow statement grants permission to perform any EC2 action on any resource within the us-east-1 Region. The Deny statement overrides the Allow statement and denies permission to perform the ec2:StopInstances and ec2:TerminateInstances actions on any resource within the us-east-1 Region, unless the group member is logged in with MFA. Therefore, the group members can perform any EC2 action except stopping or terminating instances in the us-east-1 Region, unless they use MFA.

B and D are the correct answers because they ensure that the Lambda execution role has the permissions to decrypt and use the environment variables, and that the AWS KMS key policy allows the Lambda execution role to use the key. The Lambda execution role is an IAM role that grants the Lambda function permission to access AWS resources, such as AWS KMS. The AWS KMS key policy is a resource-based policy that controls access to the key. By adding AWS KMS permissions in the Lambda execution role and allowing the Lambda execution role in the AWS KMS key policy, the solutions architect can implement the correct permissions for encrypting and decrypting environment variables. References:

AWS Lambda Execution Role

Using AWS KMS keys in AWS Lambda

it allows the solutions architect to review the S3 buckets to discover personally identifiable information (Pll) with the least operational overhead. Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data in AWS. Amazon Macie can analyze data in S3 buckets across multiple regions and provide insights into the type, location, and level of sensitivity of the data. References:

Amazon Macie

Analyzing data with Amazon Macie