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| Section | Weight | Objectives |
|---|---|---|
| Deployment | 24% | - Prepare application artifacts for deployment
|
| Security | 26% | - Apply security best practices
|
| Troubleshooting and Optimization | 18% | - Optimize application performance
|
| Development with AWS Services | 32% | - Write code for applications hosted on AWS
|
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NEW QUESTION # 722
A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read-heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries. Which solution will meet this requirement with LEAST current and future effort?
Answer: C
Explanation:
Amazon RDS read replicas are designed to scale read-heavy workloads by offloading read queries from the primary database instance. Directing read queries to the read replica endpoint improves read performance with minimal operational effort and provides a managed path to add more read capacity in the future.
NEW QUESTION # 723
A company's application has pricing tiers to group features and usage limits. The company needs to configure values for feature groups and usage limits dynamically for multiple tenants. The company needs a solution that requires minimal operational overhead and does not require code changes when the values change. Which solution will meet these requirements?
Answer: B
Explanation:
AWS AppConfig enables dynamic configuration management with minimal operational overhead.
It allows the application to retrieve updated values without code changes, providing a scalable way to manage feature flags and usage limits across tenants.
NEW QUESTION # 724
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation.
However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.
Answer: C
Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
* Why Other Options are Incorrect:
* Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
* Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
* Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
* AWS Documentation References:
* CloudFormation DeletionPolicy Attribute
NEW QUESTION # 725
A developer is storing sensitive data generated by an application in Amazon S3. The developer wants to encrypt the data at rest. A company policy requires an audit trail of when the AWS Key Management Service (AWS KMS) key was used and by whom.
Which encryption option will meet these requirements?
Answer: D
Explanation:
This solution meets the requirements because it encrypts data at rest using AWS KMS keys and provides an audit trail of when and by whom they were used. Server-side encryption with AWS KMS managed keys (SSE- KMS) is a feature of Amazon S3 that encrypts data using keys that are managed by AWS KMS. When SSE- KMS is enabled for an S3 bucket or object, S3 requests AWS KMS to generate data keys and encrypts data using these keys. AWS KMS logs every use of its keys in AWS CloudTrail, which records all API calls to AWS KMS as events. These events include information such as who made the request, when it was made, and which key was used. The company policy can use CloudTrail logs to audit critical events related to their data encryption and access. Server-side encryption with Amazon S3 managed keys (SSE-S3) also encrypts data at rest using keys that are managed by S3, but does not provide an audit trail of key usage. Server-side encryption with customer-provided keys (SSE-C) and server-side encryption with self-managed keys also encrypt data at rest using keys that are provided or managed by customers, but do not provide an audit trail of key usage and require additional overhead for key management.
Reference: [Protecting Data Using Server-Side Encryption with AWS KMS-Managed Encryption Keys (SSE- KMS)], [Logging AWS KMS API calls with AWS CloudTrail]
NEW QUESTION # 726
A company uses a custom root certificate authority certificate chain (Root CA Cert) that is 10 KB in size generate SSL certificates for its on-premises HTTPS endpoints. One of the company's cloud based applications has hundreds of AWS Lambda functions that pull date from these endpoints. A developer updated the trust store of the Lambda execution environment to use the Root CA Cert when the Lambda execution environment is initialized. The developer bundled the Root CA Cert as a text file in the Lambdas deployment bundle.
After 3 months of development the root CA Cert is no longer valid and must be updated. The developer needs a more efficient solution to update the Root CA Cert for all deployed Lambda functions. The solution must not include rebuilding or updating all Lambda functions that use the Root CA Cert. The solution must also work for all development, testing and production environment. Each environment is managed in a separate AWS account.
When combination of steps Would the developer take to meet these environments MOST cost-effectively? (Select TWO)
Answer: A,B
Explanation:
This solution will meet the requirements by storing the Root CA Cert as a Secure String parameter in AWS Systems Manager Parameter Store, which is a secure and scalable service for storing and managing configuration data and secrets. The resource-based policy will allow IAM users in different AWS accounts and environments to access the parameter without requiring cross-account roles or permissions. The Lambda code will be refactored to load the Root CA Cert from the parameter store and modify the runtime trust store outside the Lambda function handler, which will improve performance and reduce latency by avoiding repeated calls to Parameter Store and trust store modifications for each invocation of the Lambda function. Option A is not optimal because it will use AWS Secrets Manager instead of AWS Systems Manager Parameter Store, which will incur additional costs and complexity for storing and managing a non-secret configuration data such as Root CA Cert. Option C is not optimal because it will deactivate the application secrets and monitor the application error logs temporarily, which will cause application downtime and potential data loss. Option D is not optimal because it will modify the runtime trust store inside the Lambda function handler, which will degrade performance and increase latency by repeating unnecessary operations for each invocation of the Lambda function.
NEW QUESTION # 727
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