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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q65-Q70):

NEW QUESTION # 65
[Design Resilient Architectures]
A company runs a highly available web application on Amazon EC2 instances behind an Application Load Balancer The company uses Amazon CloudWatch metrics As the traffic to the web application Increases, some EC2 instances become overloaded with many outstanding requests The CloudWatch metrics show that the number of requests processed and the time to receive the responses from some EC2 instances are both higher compared to other EC2 instances The company does not want new requests to be forwarded to the EC2 instances that are already overloaded.
Which solution will meet these requirements?

Answer: A

Explanation:
The least outstanding requests (LOR) algorithm is a load balancing algorithm that distributes incoming requests to the target with the fewest outstanding requests. This helps to avoid overloading any single target and improves the overall performance and availability of the web application. The LOR algorithmcan use the RequestCount and TargetResponseTime CloudWatch metrics to determine the number of outstanding requests and the response time of each target. These metrics measure the number of requests processed by each target and the time elapsed after the request leaves the load balancer until a response from the target is received by the load balancer, respectively. By using these metrics, the LOR algorithm can route new requests to the targets that are less busy and more responsive, and avoid sending requests to the targets that are already overloaded or slow. This solution meets the requirements of the company.
Reference:
Application Load Balancer now supports Least Outstanding Requests algorithm for load balancing requests Target groups for your Application Load Balancers Elastic Load Balancing - Application Load Balancers


NEW QUESTION # 66
A company hosts dozens of multi-tier applications on AWS. The presentation layer and logic layer are Amazon EC2 Linux instances that use Amazon EBS volumes.
The company needs a solution to ensure that operating system vulnerabilities are not introduced to the EC2 instances when the company deploys new features. The company uses custom AMIs to deploy EC2 instances in an Auto Scaling group. The solution must scale to handle all applications that the company hosts.
Which solution will meet these requirements?

Answer: A

Explanation:
EC2 Image Builder is the AWS-managed service specifically designed to automate the creation, patching, hardening, and testing of AMIs.
For this scenario, best practice is to:
* Use EC2 Image Builder pipelines to generate new golden AMIs whenever features are deployed or on a schedule.
* Include build components such as update-linux to automatically apply OS security patches and updates during image creation.
* Deploy the new AMIs through existing Auto Scaling groups, ensuring that every newly launched instance is already patched and compliant.
This approach:
* Prevents OS vulnerabilities from being introduced at deployment time.
* Scales across dozens of applications because AMI pipelines are reusable and automated.
* Minimizes manual effort and reduces drift between instances.
Amazon Inspector (Option A) identifies vulnerabilities but does not itself patch AMIs.
AWS Backup (Option B) is for data protection, not vulnerability management.
Patch Manager (Option C) patches running instances, but the requirement is to ensure vulnerabilities are not introduced with new AMIs; golden image pipelines with EC2 Image Builder are the recommended solution.


NEW QUESTION # 67
A company is planning to deploy its application on an Amazon Aurora PostgreSQL Serverless v2 cluster. The application will receive large amounts of traffic. The company wants to optimize the storage performance of the cluster as the load on the application increases Which solution will meet these requirements MOST cost-effectively?

Answer: A

Explanation:
* Aurora I/O-Optimized: This storage configuration is designed to provide consistent high performance for Aurora databases. It automatically scales IOPS as the workload increases, without needing to provision IOPS separately.
* Cost-Effectiveness: With Aurora I/O-Optimized, you only pay for the storage and I/O you use, making it a cost-effective solution for applications with varying and unpredictable I/O demands.
* Implementation:
* During the creation of the Aurora PostgreSQL Serverless v2 cluster, select the I/O-Optimized storage configuration.
* The storage system will automatically handle scaling and performance optimization based on the application load.
* Operational Efficiency: This configuration reduces the need for manual tuning and ensures optimal performance without additional administrative overhead.
References:
* Amazon Aurora I/O-Optimized


NEW QUESTION # 68
A company stores text files in Amazon S3. The text files include customer chat messages, date and time information, and customer personally identifiable information (Pll).
The company needs a solution to provide samples of the conversations to an external service provider for quality control. The external service provider needs to randomly pick sample conversations up to the most recent conversation. The company must not share the customer Pll with the external service provider. The solution must scale when the number of customer conversations increases.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
The correct solution is to create an Object Lambda Access Point and an AWS Lambda function that redacts the PII when the function reads the file. This way, the company can use the S3 Object Lambda feature to modify the S3 object content on the fly, without creating a copy or changing the original object. The external service provider can access the Object Lambda Access Point and get the redacted version of the file. This solution has the least operational overhead because it does not require any additional storage, processing, or synchronization. The solution also scales automatically with the number of customer conversations and the demand from the external service provider. The other options are incorrect because:
Option B is using a batch process on an EC2 instance to read, redact, and write the files to a different S3 bucket. This solution has more operational overhead because it requires managing the EC2 instance, the batch process, and the additional S3 bucket. It also introduces latency and inconsistency between the original and the redacted files.
Option C is using a web application on an EC2 instance to present, redact, and download the files. This solution has more operational overhead because it requires managing the EC2 instance, the web application, and the download process. It also exposes the original files to the web application, which increases the risk of leaking the PII.
Option D is using a DynamoDB table and a Lambda function to store the non-PII data from the files.
This solution has more operational overhead because it requires managing the DynamoDB table, the Lambda function, and the data transformation. It also changes the format and the structure of the original files, which may affect the quality control process.
References:
S3 Object Lambda
Object Lambda Access Point
Lambda function


NEW QUESTION # 69
A hospital is designing a new application that gathers symptoms from patients. The hospital has decided to use Amazon Simple Queue Service (Amazon SOS) and Amazon Simple Notification Service (Amazon SNS) in the architecture.
A solutions architect is reviewing the infrastructure design Data must be encrypted at test and in transit. Only authorized personnel of the hospital should be able to access the data.
Which combination of steps should the solutions architect take to meet these requirements? (Select TWO.)

Answer: A,B

Explanation:
https://docs.aws.amazon.com/sns/latest/dg/sns-server-side-encryption.html https://docs.aws.amazon.com
/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-server-side-encryption.html


NEW QUESTION # 70
......

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