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148. Frage
A CloudOps engineer is responsible for a company's disaster recovery procedures. The company has a source Amazon S3 bucket in a production account, and it wants to replicate objects from the source to a destination S3 bucket in a nonproduction account. The CloudOps engineer configures S3 cross-Region, cross-account replication to copy the source S3 bucket to the destination S3 bucket. When the CloudOps engineer attempts to access objects in the destination S3 bucket, they receive an Access Denied error.
Which solution will resolve this problem?
Antwort: A
Begründung:
In cross-account S3 replication, a common cause of "Access Denied" when reading replicated objects is object ownership. By default, the replicated objects can remain owned by the source account (the account that originally wrote the objects). Even though the objects are physically stored in the destination bucket, the destination account's users can be blocked from accessing them unless the correct ACLs or ownership controls are in place. This becomes especially visible in disaster recovery or nonproduction copy scenarios where the destination account expects to independently read and manage replicated data.
Amazon S3 provides an option in replication configuration to change the replica object ownership to the destination bucket owner. When enabled, the destination account becomes the owner of the replicated objects, which aligns access control with the bucket ownership and the destination account's IAM policies.
This removes the common cross-account ownership mismatch and resolves Access Denied errors for legitimate users in the destination account who have permissions on the destination bucket.
Option B relates to which objects are included in replication (prefix scoping). If replication were scoped incorrectly, the symptom would typically be missing objects rather than Access Denied on objects that are present. Option C (S3 RTC) is about replication time guarantees and monitoring; elapsed time does not change ownership or permissions and therefore does not resolve Access Denied. Option D (storage class changes) affects cost and retrieval characteristics, not authorization; it would not typically produce Access Denied for standard reads solely because the storage class differs.
Therefore, updating the replication configuration to ensure replicated objects are owned by the destination bucket owner is the correct fix to restore access.
149. Frage
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket.
During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company ' s operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future. The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team ' s email address to the SNS topic.
What should the company do next to meet these requirements?
Antwort: A
Begründung:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput. CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table' s provisioned read capacity provides an early warning that the table is nearing its limit-before actual throttling prevents reads. The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
Option C and D focus on detecting throttling after it occurs by matching throttling exceptions in logs. That is reactive and violates "before throttled." Option B (auto scaling) may reduce the likelihood of throttling, but it does not directly satisfy the alerting requirement and "scaling events" notifications are not a reliable proxy for
"approaching throttle" (and may not fire early enough depending on scaling configuration). The simplest, most direct CloudOps approach is a CloudWatch alarm on consumption nearing provisioned capacity.
References:
Amazon DynamoDB Developer Guide - Provisioned capacity, throttling behavior, CloudWatch metrics Amazon CloudWatch User Guide - Alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring DynamoDB and capacity planning
150. Frage
Users are reporting consistent forced logouts from a stateful web application. The web application is hosted on Amazon EC2 instances that are in an Auto Scaling group. The instances run behind an Application Load Balancer (ALB) that has multiple target groups with one listener rule. The ALB is configured as the origin in an Amazon CloudFront distribution. Which combination of actions should a CloudOps engineer take to resolve the logout problem? (Choose two.)
Antwort: A,E
Begründung:
CloudFront must forward the application's cookies so that session information and load balancer stickiness cookies reach the ALB. Because the listener rule distributes requests across multiple target groups, group-level stickiness keeps a user associated with the same target group for subsequent requests, which preserves the stateful session and prevents repeated logouts.
151. Frage
A company runs a critical application on Amazon EC2 instances. The application uses an Auto Scaling group to scale based on traffic to the application. To comply with regulations, the company must patch all EC2 instances with the latest security patches every day without any downtime.
Which solution will meet these requirements with the LEAST operational overhead?
Antwort: B
Begründung:
The key requirements are daily patching, zero downtime, and least operational overhead. The most operationally efficient way to achieve frequent patch compliance in an Auto Scaling environment is to adopt an immutable infrastructure approach: bake patches into a new AMI and then roll the fleet to that AMI in a controlled, health-checked manner. AWS Systems Manager Automation can orchestrate patching steps reliably and repeatedly, producing a patched AMI on a schedule without engineers manually logging into instances. After the AMI is created, updating the Auto Scaling group launch template ensures that all newly launched instances use the patched image.
Auto Scaling instance refresh then performs the rollout across the group with guardrails: it replaces instances gradually, can respect minimum healthy percentages, and works with load balancer health checks so traffic remains served while instances are rotated. This satisfies "no downtime" because capacity stays available and requests are routed only to healthy instances during the replacement process.
Option B introduces unnecessary complexity by combining CloudFormation provisioning with patching and then relying on AWS Config to replace instances. AWS Config is a compliance and configuration tracking service, not a primary fleet-replacement mechanism for daily patching. Option C increases operational overhead by requiring custom Lambda logic and manual initiation of the rolling update, which is explicitly more work and more error-prone than a managed instance refresh workflow. Option D again uses AWS Config to replace instances, which does not align well with least overhead or the standard operational model for controlled rolling updates in Auto Scaling groups.
Therefore, the lowest-overhead, highly reliable solution is to use Systems Manager Automation to create a patched AMI, update the launch template, and run an Auto Scaling instance refresh.
152. Frage
An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The application takes up to 2 minutes to populate a local cache after the application is started. The application reports as healthy in the target group health check a few seconds after starting.
A CloudOps engineer observes that after some of the instances are rebooted, the instances receive an equal share of the traffic immediately after each instance reports as healthy. The application needs to receive a gradually increasing share of the traffic while the application cache is populated.
Which solution will meet this requirement?
Antwort: A
Begründung:
The slow start feature of an ALB target group (slow_start.duration_seconds) is specifically designed to let new or newly healthy targets ramp up gradually, giving them a smaller, increasing share of traffic over a defined period. Setting it to 120 seconds allows each instance to warm its local cache during that time instead of receiving a full share of requests immediately, which matches the 2-minute cache warm-up requirement.
153. Frage
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