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NEW QUESTION # 181
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backups enabled. A CloudOps engineer needs to be able to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
Answer: B
Explanation:
Amazon Aurora backtracking allows a DB cluster to be rewound to a specific point in time without creating a new DB cluster. This feature is designed for fast recovery from logical errors, such as accidental data changes, within a configured backtrack window. Because backtracking operates directly on the existing cluster, it satisfies the requirement that the restore occur in the same production DB cluster.
Point-in-time recovery (Option D) restores data by creating a new DB cluster, which violates the requirement.
Option A involves promoting a replica, which does not allow rolling back to an arbitrary historical point.
Option B introduces unnecessary complexity and is not supported for restoring directly into the same cluster.
Backtracking provides near-instant rollback and minimal operational disruption, making it the correct solution.
NEW QUESTION # 182
A company's CloudOps engineer monitors multiple AWS accounts in an organization and checks each account's AWS Health Dashboard. After adding 10 new accounts, the engineer wants to consolidate health alerts from all accounts.
Which solution meets this requirement with the least operational effort?
Answer: A
Explanation:
The AWS Cloud Operations and Governance documentation defines that enabling Organizational View in AWS Health allows the management account in AWS Organizations to view and aggregate health events from all member accounts.
This feature provides a single-pane-of-glass view of service health issues, account-specific events, and planned maintenance across the organization - without requiring additional automation or data pipelines.
Alternative options (B, C, and D) require custom integration and ongoing maintenance. CloudTrail does not natively forward AWS Health events, and custom Lambda or DynamoDB approaches increase complexity.
Therefore, Option A - enabling the Organizational View feature in AWS Health - is the most operationally efficient and AWS-recommended solution.
Reference: AWS Cloud Operations & Governance Guide - Consolidating Multi-Account Health Events with AWS Health Organizational View
NEW QUESTION # 183
A company hosts a static website on Amazon S3. An Amazon CloudFront distribution presents this site to global users. The company uses the Managed-CachingDisabled CloudFront cache policy. The company's developers confirm that they frequently update a file in Amazon S3 with new information.
Users report that the website presents correct information when the website first loads the file. However, the users' browsers do not retrieve the updated file after a refresh.
What should a SysOps administrator recommend to fix this issue?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
With the Managed-CachingDisabled policy, CloudFront is configured to minimize edge caching, so the remaining caching behavior users experience often comes from browser (client-side) caching. If users refresh and still see old content, it typically indicates the browser is allowed to reuse a cached copy without revalidating. The correct fix is to control client caching using HTTP response headers on the S3 object.
Adding a Cache-Control: max-age=0 header instructs browsers that the object becomes stale immediately and should be revalidated on subsequent requests (often resulting in conditional requests using If-Modified-Since or ETag behavior). This preserves correctness-users will fetch or revalidate the latest file-without requiring heavier operational actions like frequent CloudFront invalidations or changing to an optimized caching policy that may increase edge caching.
Option B can worsen the issue by increasing caching if object headers permit it. Option C is unrelated; versioning affects object history and recovery, not browser cache behavior. Option D affects payload size transfer (gzip/brotli), not cache freshness.
References:
Amazon CloudFront Developer Guide - Cache policies and cache behavior concepts Amazon S3 User Guide - Object metadata and HTTP Cache-Control headers AWS SysOps Administrator Study Guide - Troubleshooting caching and content freshness
NEW QUESTION # 184
A company runs an application on a large fleet of Amazon EC2 instances to process financial transactions. The EC2 instances share data by using an Amazon Elastic File System (Amazon EFS) file system.
The company wants to deploy the application to a new Availability Zone and has created new subnets and a mount target in the new Availability Zone. When a SysOps administrator launches new EC2 instances in the new subnets, the EC2 instances are unable to mount the file system.
What is a reason for this issue?
Answer: C
Explanation:
When you add a new EFS mount target in a new Availability Zone, that mount target has its own security group. For the EC2 instances in that AZ to mount the file system over NFS, the mount target's security group must allow inbound TCP 2049 (NFS) from the EC2 instances' security group.
If that rule isn't there, the instances can see the mount target in the same VPC/AZ but can't complete the NFS connection, so the mount fails.
NEW QUESTION # 185
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: B
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 # 186
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