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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
| Design Secure Architectures | 30% | - Secure access to AWS resources
|
| Design High-Performing Architectures | 24% | - Performance scaling
|
| Design Resilient Architectures | 26% | - Highly available architecture
|
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130. Frage
A company has AWS Lambda functions that use environment variables. The company does not want its developers to see environment variables in plaintext.
Which solution will meet these requirements?
Antwort: D
Begründung:
AWS Lambda supports encrypting environment variables at rest using AWS KMS. You can use encryption helpers (or Lambda's built-in support) to encrypt sensitive environment variable values using a KMS key.
These encrypted variables are not visible in plaintext to developers, either in the console or when running the code.
AWS Documentation Extract:
"AWS Lambda automatically encrypts environment variables at rest. For additional security, you can use AWS KMS keys and encryption helpers to encrypt environment variables, ensuring they are never exposed in plaintext." (Source: AWS Lambda documentation, Environment Variables Security) A: Does not address the issue (and adds more management overhead).
B, C: There is no native support for environment variable encryption via CloudHSM or ACM.
Reference: AWS Certified Solutions Architect - Official Study Guide, Lambda Security Best Practices.
131. Frage
[Design Operationally Excellent Architectures]
A company uses an organization in AWS Organizations to manage AWS accounts that contain applications. The company sets up a dedicated monitoring member account in the organization. The company wants to query and visualize observability data across the accounts by using Amazon CloudWatch.
Which solution will meet these requirements?
Antwort: D
Begründung:
CloudWatch cross-account observability is a feature that allows you to monitor and troubleshoot applications that span multiple accounts within a Region. You canseamlessly search, visualize, and analyze your metrics, logs, traces, and Application Insights applications in any of the linked accounts without account boundaries1. To enable CloudWatch cross-account observability, you need to set up one or more AWS accounts as monitoring accounts and link them with multiple source accounts. A monitoring account is a central AWS account that can view and interact with observability data shared by other accounts. A source account is an individual AWS account that shares observability data and resources with one or more monitoring accounts1. To create links between monitoring accounts and source accounts, you can use the CloudWatch console, the AWS CLI, or the AWS API. You can also use AWS Organizations to link accounts in an organization or organizational unit to the monitoring account1. CloudWatch provides a CloudFormation template that you can deploy in each source account to share observability data with the monitoring account. The template creates a sink resource in the monitoring account and an observability link resource in the source account. The template also creates the necessary IAM roles and policies to allow cross-account access to the observability data2. Therefore, the solution that meets the requirements of the question is to enable CloudWatch cross-account observability for the monitoring account and deploy the CloudFormation template provided by the monitoring account in each AWS account to share the data with the monitoring account.
The other options are not valid because:
Service control policies (SCPs) are a type of organization policy that you can use to manage permissions in your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing youto ensure your accounts stay within your organization's access control guidelines3. SCPs do not provide access to CloudWatch in the monitoring account, but rather restrict the actions that users and roles can perform in the source accounts. SCPs are not required toenable CloudWatch cross-account observability, as the CloudFormation template creates the necessary IAM roles and policies for cross-account access2.
IAM users are entities that you create in AWS to represent the people or applications that use them to interact with AWS. IAM users can have permissions to access the resources in your AWS account4. Configuring a new IAM user in the monitoring account and an IAM policy in each AWS account to have access to query and visualize the CloudWatch data in the account is not a valid solution, as it does not enable CloudWatch cross-account observability. This solution would require the IAM user to switch between different accounts to view the observability data, which is not seamless and efficient. Moreover, this solution would not allow the IAM user to search, visualize, and analyze metrics, logs, traces, and Application Insights applications across multiple accounts in a single place1.
Cross-account IAM policies are policies that allow you to delegate access to resources that are in different AWS accounts that you own. You attach a cross-account policy to a user or group in one account, and then specify which accounts theuser or group can access5. Creating a new IAM user in the monitoring account and cross-account IAM policies in each AWS account is not avalid solution, as it does not enable CloudWatch cross-account observability. This solution would also require the IAM user to switch between different accounts to view the observability data, which is not seamless and efficient. Moreover, this solution would not allow the IAM user to search, visualize, and analyze metrics, logs, traces, and Application Insights applications across multiple accounts in a single place1.
132. Frage
A company has a custom application with embedded credentials that retrieves information from an Amazon RDS MySQL DB instance. Management says the application must be made more secure with the least amount of programming effort.
What should a solutions architect do to meet these requirements?
Antwort: C
133. Frage
[Design Secure Architectures]
A solutions architect needs to review a company's Amazon S3 buckets to discover personally identifiable information (Pll). The company stores the Pll data in the us-east-I Region and us-west-2 Region.
Which solution will meet these requirements with the LEAST operational overhead?
Antwort: C
Begründung:
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. Reference:
Amazon Macie
Analyzing data with Amazon Macie
134. Frage
A company wants to deploy its containerized application workloads to a VPC across three Availability Zones.
The company needs a solution that is highly available across Availability Zones. The solution must require minimal changes to the application.
Which solution will meet these requirements with the LEAST operational overhead?
Antwort: B
Begründung:
The company wants to deploy its containerized application workloads to a VPC across three Availability Zones, with high availability and minimal changes to the application. The solution that will meet these requirements with the least operational overhead is:
Use Amazon Elastic Container Service (Amazon ECS). Amazon ECS is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure. Amazon ECS also integrates with other AWS services, such as VPC, ELB, CloudFormation, CloudWatch, IAM, and more.
Configure Amazon ECS Service Auto Scaling to use target tracking scaling. Amazon ECS Service Auto Scaling allows you to automatically adjust the number of tasks in your service based on the demand or custom metrics. Target tracking scaling is a policy type that adjusts the number of tasks in your service to keep a specified metric at a target value. For example, you can use target tracking scaling to maintain a target CPU utilization or request count per task for your service.
Set the minimum capacity to 3. This ensures that your service always has at least three tasks running across three Availability Zones, providing high availability and fault tolerance for your application.
Set the task placement strategy type to spread with an Availability Zone attribute. This ensures that your tasks are evenly distributed across the Availability Zones in your cluster, maximizing the availability of your service.
This solution will provide high availability across Availability Zones, require minimal changes to the application, and reduce the operational overhead of managing your own cluster infrastructure.
References:
Amazon Elastic Container Service
AmazonECS Service Auto Scaling
Target Tracking Scaling Policies for Amazon ECS Services
Amazon ECS Task Placement Strategies
135. Frage
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