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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q1002-Q1007):
NEW QUESTION # 1002
[Design Secure Architectures]
A company is migrating a new application from an on-premises data center to a new VPC in the AWS Cloud. The company has multiple AWS accounts and VPCs that share many subnets and applications.
The company wants to have fine-grained access control for the new application. The company wants to ensure that all network resources across accounts and VPCs that are granted permission to access the new application can access the application.
Answer: A
Explanation:
AWS PrivateLinkis the most suitable solution for providing fine-grained access control while allowing multiple VPCs, potentially across multiple accounts, to access the new application. This approach offers the following advantages:
Fine-grained control: Endpoint policies can restrict access to specific services or principals.
No need for route table updates: Unlike VPC peering or transit gateways, AWS PrivateLink does not require complex route table management.
Scalable architecture: PrivateLink scales to support traffic from multiple VPCs.
Secure connectivity: Ensures private connectivity over the AWS network, without exposing resources to the internet.
Why Other Options Are Not Ideal:
Option A:
VPC peering is not scalable when connecting multiple VPCs or accounts.
Route table management becomes complex as the number of VPCs increases.Not scalable.
Option B:
While transit gateways provide scalable VPC connectivity, they are not ideal for fine-grained access control.
Transit gateways allow connectivity but do not inherently restrict access to specific applications.Not ideal for fine-grained access control.
Option D:
Exposing the application through an ALB over the internet is not secure and does not align with the requirement to use private network resources.Security risk.
AWS Reference:
AWS PrivateLink:AWS Documentation - PrivateLink
AWS Networking Services Comparison:AWS Whitepaper - Networking Services
NEW QUESTION # 1003
[Design High-Performing Architectures]
A company has multiple Amazon RDS DB instances that run in a development AWS account. All the instances have tags to identify them as development resources. The company needs the development DB instances to run on a schedule only during business hours.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
To run RDS instances only during business hours with the least operational overhead, you can useAmazon EventBridgeto schedule events that invokeAWS Lambda functions. The Lambda functions can be configured to start and stop the RDS instances based on the specified schedule (business hours). EventBridge rules allow you to define recurring events easily, and Lambda functions provide a serverless way to manage RDS instance start and stop operations, reducing administrative overhead.
Option A: While CloudWatch alarms could be used, they are more suited for monitoring, and using Lambda with EventBridge is simpler.
Option B (Trusted Advisor): Trusted Advisor is not ideal for scheduling tasks.
Option C (Systems Manager): Systems Manager could also work, but EventBridge and Lambda offer a more streamlined and lower-overhead solution.
AWS Reference:
Amazon EventBridge Scheduler
AWS Lambda
NEW QUESTION # 1004
A company wants to restrict access to the content of its web application. The company needs to protect the content by using authorization techniques that are available on AWS. The company also wants to implement a serverless architecture for authorization and authentication that has low login latency.
The solution must integrate with the web application and serve web content globally. The application currently has a small user base, but the company expects the application's user base to increase Which solution will meet these requirements?
Answer: B
Explanation:
Amazon Cognito provides scalable, serverless authentication, and Lambda@Edge is used for authorization, providing low-latency access control at the edge. Amazon CloudFront serves the web application globally with reduced latency and ensures secure access for users around the world. This solution minimizes operational overhead while providing scalability and security.
* Option B (Directory Service): Directory Service is more suitable for enterprise use cases involving Active Directory, not for web-based applications.
* Option C (S3 Transfer Acceleration): S3 Transfer Acceleration helps with file transfers but does not provide authorization features.
* Option D (Elastic Beanstalk): Elastic Beanstalk adds unnecessary overhead when CloudFront can handle global delivery efficiently.
AWS References:
* Amazon Cognito
* Lambda@Edge
NEW QUESTION # 1005
A company is running a photo hosting service in the us-east-1 Region. The service enables users across multiple countries to upload and view photos. Some photos are heavily viewed for months, and others are viewed for less than a week. The application allows uploads of up to 20 MB for each photo. The service uses the photo metadata to determine which photos to display to each user.
Which solution provides the appropriate user access MOST cost-effectively?
Answer: A
Explanation:
This solution provides the appropriate user access most cost-effectively because it uses the Amazon S3 Intelligent-Tiering storage class, which automatically optimizes storage costs by moving data to the most cost-effective access tier when access patterns change, without performance impact or operational overhead1.
This storage class is ideal for data with unknown, changing, or unpredictable access patterns, such as photos that are heavily viewed for months or less than a week. By storing the photo metadata and its S3 location in DynamoDB, the application can quickly query and retrieve the relevant photos for each user. DynamoDB is a fast, scalable, and fully managed NoSQL database service that supports key-value and document data models2.
References: 1: Amazon S3 Intelligent-Tiering Storage Class | AWS3, Overview section2: Amazon DynamoDB - NoSQL Cloud Database Service4, Overview section.
NEW QUESTION # 1006
[Design Resilient Architectures]
A company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. On the first day of every month at midnight. The application becomes much slower when the month-end financial calcualtion bath runs. This causes the CPU utilization of the EC2 instaces to immediately peak to 100%, which disrupts the application.
What should a solution architect recommend to ensure the application is able to handle the workload and avoid downtime?
Answer: A
Explanation:
Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule is the best option because it allows for the proactive scaling of the EC2 instances before the monthly batch run begins. This will ensure that the application is able to handle the increased workload without experiencing downtime. The scheduled scaling policy can be configured to increase the number of instances in the Auto Scaling group a few hours before the batch run and then decrease the number of instances after the batch run is complete. This will ensure that the resources are available when needed and not wasted when not needed. The most appropriate solution to handle the increased workload during the monthly batch run and avoid downtime would be to configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/ec2-auto-scaling-scheduled-scaling.html
NEW QUESTION # 1007
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