Quiz 2026 Amazon SOA-C03–Efficient Study Test
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q183-Q188):
NEW QUESTION # 183
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?
- A. Use backtracking to rewind the existing DB cluster to the desired recovery point.
- B. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
- C. Create an Aurora Replica. Promote the replica to replace the primary DB instance.
- D. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.
Answer: A
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 # 184
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs to send specific events from all the accounts in the organization to a new receiver account, where an AWS Lambda function will process the events.
A CloudOps engineer configures Amazon EventBridge to route events to a target event bus in the us- west-2 Region in the receiver account. The CloudOps engineer creates rules in both the sender and receiver accounts that match the specified events. The rules do not specify an account parameter in the event pattern. IAM roles are created in the sender accounts to allow PutEvents actions on the target event bus.
However, the first test events from the us-east-1 Region are not processed by the Lambda function in the receiving account.
What is the likely reason the events are not processed?
- A. Interface VPC endpoints for EventBridge are required in the sender accounts and receiver accounts.
- B. The resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
- C. The target Lambda function is in a different AWS Region, which is not supported by EventBridge.
- D. The rule in the receiving account must specify {"account": ["sender-account-id"]} in its event pattern and must include the receiving account ID.
Answer: B
Explanation:
When events are sent across AWS accounts -- particularly from multiple accounts in an AWS Organization -- the target event bus in the receiver account must include a resource-based policy that explicitly allows events:PutEvents API calls from the sender accounts or the organization ID.
Even if the sender accounts have IAM permissions to call PutEvents, the receiving event bus must trust those accounts via a resource policy. Without this configuration, EventBridge automatically rejects incoming cross-account events, and those events never reach the target Lambda function for processing.
AWS guidance states that "Cross-account event delivery requires a resource-based policy on the event bus that grants permissions to the source accounts or organization." The policy can include either individual AWS account IDs or the organization's root ID.
In this scenario, because the events originate from multiple accounts and there is no resource policy on the target event bus to authorize those sender accounts, the events are not delivered.
Therefore, the correct cause is C ?the resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
NEW QUESTION # 185
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?
- A. Ensure that the replication rule applies to all objects in the source S3 bucket and is not scoped to a single prefix.
- B. Retry the request when the S3 Replication Time Control (S3 RTC) has elapsed.
- C. Verify that the storage class for the replicated objects did not change between the source S3 bucket and the destination S3 bucket.
- D. Modify the replication configuration to change object ownership to the destination S3 bucket owner.
Answer: D
Explanation:
In cross-account S3 replication, by default, replicated objects are owned by the source account, which causes Access Denied errors when the destination account tries to access them. To resolve this, you must enable the "change object ownership to destination bucket owner" option (using the AccessControlTranslation property in the replication configuration). This ensures the destination account owns the replicated objects and can access them without permission issues.
NEW QUESTION # 186
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required.
The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?
- A. Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.
- B. Create a new CloudFormation template to perform backups of the RDS instance, and run this template before deleting the stack.
- C. Write a script to continue backing up the RDS instance every five minutes.
- D. Use the Snapshot Deletion Policy in the CloudFormation template definition of the RDS instance.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes.
Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable
-and supports efficient lifecycle management of ephemeral development stacks.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) copyright Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar
NEW QUESTION # 187
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?
- A. Cache invalidation is missing in the CloudFront configuration.
- B. Cached assets are not expiring in the edge location.
- C. The Expires header has been set to 3 hours.
- D. Cache-duration settings conflict with each other.
Answer: D
Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.
NEW QUESTION # 188
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