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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q132-Q137):

NEW QUESTION # 132
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?

Answer: A

Explanation:
Per the AWS Cloud Operations and EventBridge documentation, 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 # 133
A company is storing backups in an Amazon S3 bucket. The backups must not be deleted for at least 3 months after the backups are created.
What should a CloudOps engineer do to meet this requirement?

Answer: D

Explanation:
S3 Object Lock in compliance mode prevents any user, including the root user, from deleting or modifying objects during the retention period. This guarantees that backups remain undeletable for the required 3 months. Object Lock must be enabled when the bucket is created, and compliance mode ensures regulatory-grade protection.


NEW QUESTION # 134
A SysOps administrator must load test a new Amazon CloudFront distribution to assess data transfer and latency performance. Which solution will meet this requirement?

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
CloudFront is a global edge network service, and its performance (latency and data transfer behavior) depends heavily on the geographic location of viewers and the edge locations that serve them. Therefore, a valid load test must generate traffic from multiple geographic regions to reflect real user distribution and to measure end- to-end latency across diverse network paths.
Additionally, CloudFront uses DNS to return multiple possible edge IP addresses and can direct clients to different edge locations based on resolver behavior and network conditions. For a realistic test, each client should make an independent DNS request and distribute traffic across the returned IP addresses, rather than pinning all load to a single IP. Spreading requests across the returned set avoids biasing the test to one edge path and better represents how real browsers and applications resolve and connect to CloudFront.
Options A and B fail to model global viewer behavior because they test from only one region. Option C introduces an unrealistic constraint by forcing identical DNS resolution and concentrating load on a single IP address, which can distort latency and throughput results. Option D best matches CloudOps guidance for performance validation of CDN workloads: multi-region testing with realistic DNS resolution and traffic distribution.
References:
Amazon CloudFront Developer Guide - How CloudFront routes requests and uses edge locations AWS SysOps Administrator Study Guide - Testing and validating content delivery performance AWS Well-Architected Framework - Performance Efficiency (testing with representative traffic)


NEW QUESTION # 135
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?

Answer: C

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 # 136
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: B

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 # 137
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