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NEW QUESTION # 168
A company must retain all Amazon S3 objects for 90 days for compliance reasons. Additionally, the company must retain all changes to objects for 90 days. Therefore, the company enables S3 Versioning on the bucket.
The company does not delete S3 objects even after the retention period ends. The company notices that S3 costs are increasing. The company wants to reduce storage costs.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Because S3 Versioning is enabled, each object update creates additional object versions. If old versions are never removed, storage costs keep increasing even when only the latest version is needed operationally. The lowest-overhead solution is to configure an S3 Lifecycle rule to expire noncurrent object versions after the required 90-day compliance retention period. This preserves object changes for the required window and then automatically removes older versions to reduce cost. Option A is not ideal because creating delete markers affects current object visibility and does not clean up old noncurrent versions efficiently. Option C adds unnecessary backup complexity. Option D creates excessive event scheduling and Lambda management overhead. S3 Lifecycle is the native cost-optimization control for versioned-object retention.
NEW QUESTION # 169
A company observes a dramatic increase in 500 status code responses from an HTTP application that runs on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group and use EC2 health checks for resiliency. The company uses Amazon CloudWatch to collect logs for the EC2 instances and the HTTP server logs.
A CloudOps engineer investigates the cause of the status codes. The CloudOps engineer finds that errors correlate with times when the Auto Scaling group was either replacing EC2 instances or performing scale-in actions. The CloudOps engineer needs to improve the resiliency of the application's architecture.
Which solution will meet this requirement?
Answer: A
Explanation:
The errors occur during Auto Scaling replacement and scale-in events, which strongly indicates that instances are being terminated or recycled while they are still serving traffic. When an Auto Scaling group uses only EC2 status checks, the health evaluation is limited to instance-level signals (such as system reachability and instance reachability). Those checks do not validate whether the application process is healthy, whether the web server is still responding correctly, or whether the instance is safely able to continue serving requests while shutdown activities are underway. As a result, traffic can continue to reach an instance that is about to be terminated, or a newly launched instance can be marked healthy at the EC2 layer before the application is actually ready, producing spikes in 5xx responses.
Using Elastic Load Balancing health checks integrates the Auto Scaling group with the load balancer's application-aware health evaluation. The load balancer can perform health checks against a specific endpoint (for example, /health) over HTTP/HTTPS and determine whether the application is responding successfully.
Auto Scaling can then replace instances based on real service health rather than only infrastructure health.
This approach improves resiliency because unhealthy or draining instances are removed from load balancing before they cause user-facing errors, and newly launched instances are kept out of rotation until they pass the ELB health checks.
Increasing cooldown (A) only slows scaling actions and does not ensure safe traffic draining. Increasing minimum capacity (C) can reduce impact but does not address the root cause of instances receiving traffic during lifecycle changes. Increasing grace period (D) helps initial warm-up, but it does not reliably protect users during scale-in and termination without application-level health integration. Therefore, ELB health checks are the best solution.
NEW QUESTION # 170
A CloudOps engineer needs to set up alerting and remediation for a web application. The application consists of Amazon EC2 instances that have AWS Systems Manager Agent (SSM Agent) installed. Each EC2 instance runs a custom web server. The EC2 instances run behind a load balancer and write logs locally.
The CloudOps engineer must implement a solution that restarts the web server software automatically if specific web errors are detected in the logs.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: B,C,E
Explanation:
Per the AWS Cloud Operations, Monitoring, and Automation documentation, the correct workflow for automated operational remediation is:
Amazon CloudWatch Agent is installed on each EC2 instance (Option A) to collect local log data and push it to Amazon CloudWatch Logs.
A CloudWatch Metric Filter (Option C) is then defined to identify specific error strings or patterns within those logs (e.g., "HTTP 5xx" or "Service Unavailable"). When such an event occurs, CloudWatch Alarms are triggered.
Upon alarm activation, Amazon EventBridge rules (Option E) are configured to respond automatically by invoking an AWS Systems Manager Automation runbook, which executes an action to restart the web server process on the affected instance via SSM Agent.
This approach aligns directly with AWS's recommended CloudOps remediation pattern, known as event- driven automation, which ensures minimal downtime and eliminates manual intervention.
Options involving CloudTrail (B) or SES notifications (D) are incorrect because they are unrelated to log- based application monitoring and automated remediation workflows.
Reference: AWS Cloud Operations & Systems Manager Guide - Section: Automated Remediation using CloudWatch, EventBridge, and Systems Manager Automation
NEW QUESTION # 171
An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.
What should the CloudOps engineer do to meet these requirements?
Answer: B
Explanation:
The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.
Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, "ERROR" or "FAILURE"). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.
This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda-based log streaming (Option C).
NEW QUESTION # 172
A logistics company wants to run containerized applications on Amazon ECS behind an Application Load Balancer. The company wants to use a phased release method to test new application versions and gradually increase traffic shift. The company wants to start with 10% of the traffic to the new version, with 10% increments every 3 minutes until the traffic is fully shifted.
Which deployment strategy will meet these requirements?
Answer: B
Explanation:
The traffic pattern described is a linear deployment: shift a fixed percentage of traffic at fixed time intervals until the new version receives 100% of traffic. AWS CodeDeploy for Amazon ECS includes a predefined deployment configuration named CodeDeployDefault.ECSLinear10PercentEvery3Minutes, which shifts 10% of traffic every 3 minutes until all traffic is shifted. A canary deployment sends an initial small percentage to the new version and then shifts the remaining traffic after a bake period, not in equal repeated increments. A rolling deployment replaces tasks in batches but does not express ALB traffic shifting percentages in this way.
Blue/green is the broader deployment model used by CodeDeploy, but the specific release strategy requested is linear. Therefore, option D is correct.
NEW QUESTION # 173
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