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NEW QUESTION # 18
A company uses an Amazon CloudFront distribution to share a file through a signed URL. The company stores the source file in an Amazon S3 bucket and updates the file every day. Users report there is a delay of several days before they see new versions of the file. Occasionally, users report not being able to see a specific day's file. A CloudOps engineer needs to resolve the issue.
Which solution will meet this requirement?
Answer: D
Explanation:
The symptom of users seeing old versions for several days points directly to CloudFront caching. If the file is updated daily but the object key remains the same, CloudFront edge locations may continue serving the cached object until the TTL expires. Setting cache TTL values to 0 forces CloudFront to revalidate with the origin instead of serving stale content for long periods. This is the best option from the choices because it resolves delayed visibility of new versions. Removing S3 lifecycle rules does not affect CloudFront cache freshness. Updating the behavior path pattern does not solve stale object delivery if the cache behavior already applies. Extending the signed URL expiration only solves authorization timing; it does not force CloudFront to fetch the latest object version. For production, versioned object names or invalidations would also be strong designs.
NEW QUESTION # 19
A company uses AWS Organizations to manage multiple AWS accounts. A CloudOps engineer must identify all IPv4 ports open to 0.0.0.0/0 across the organization's accounts.
Which solution will meet this requirement with the LEAST operational effort?
Answer: B
Explanation:
According to AWS Cloud Operations and Governance documentation, AWS Trusted Advisor provides automated checks for security group rules across all accounts, including identifying ports open to 0.0.0.0/0.
When viewed in organizational mode, Trusted Advisor integrates with AWS Organizations, allowing administrators to access organization-wide security findings from a central management account. This approach requires no custom code, additional infrastructure, or manual inspection, providing immediate visibility and the lowest operational overhead.
AWS CLI scripts (Option A) or Lambda automation (Option C) introduce additional maintenance, and Amazon Inspector (Option D) is focused on instance-level vulnerabilities, not network access rules.
Therefore, Option B is the AWS-recommended CloudOps best practice for centralized and low-effort open- port auditing.
Reference: AWS Cloud Operations & Governance Guide - Using Trusted Advisor Organizational View for Security Group Port Checks
NEW QUESTION # 20
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket.
The Lambda function runs in response to Amazon S3 PutObject events.
A SysOps administrator needs to set up monitoring for the Lambda function. The SysOps administrator wants to receive a notification through an Amazon Simple Notification Service (Amazon SNS) topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?
Answer: A
Explanation:
AWS Lambda automatically publishes operational metrics to Amazon CloudWatch, including Duration, which represents the time a function invocation takes to run. To alert when processing time exceeds 10 seconds, the most direct and operationally efficient solution is to create a CloudWatch alarm on the Lambda Duration metric and configure the alarm action to publish to an SNS topic. This meets the monitoring requirement without requiring log parsing or additional query mechanisms.
Option B fits best because it uses the built-in metric stream for Lambda observability:
CloudWatch metrics are near real-time, require minimal configuration, and alarms are a standard CloudOps practice for proactive notification. The alarm can be configured with the appropriate statistic (for example, Maximum or p99 via metric math where applicable) and a threshold of
10,000 milliseconds, ensuring the operations team is notified before performance degrades further.
NEW QUESTION # 21
A company's Amazon EC2 instance with high CPU utilization is a t3.large instance running a test web app.
The company determines the app would run better on a compute-optimized large instance.
What should the CloudOps engineer do?
Answer: B
Explanation:
As described in the AWS Cloud Operations and EC2 Management documentation, changing an instance type (e.g., from T3 to C5) requires that the instance be stopped first. Once stopped, the engineer can modify the instance type through the AWS Management Console, CLI, or API, then start the instance again to apply changes.
This process preserves the root volume, networking configuration, and data, making it an operationally safe and efficient way to upgrade to a different instance family.
Changing the instance type while running (Option D) is unsupported. VM Import/Export (Option A) is for external VM migration. Hibernation (Option B) does not apply to type changes.
Thus, Option C is correct - stopping the instance, changing its type, and restarting it meets AWS best practices.
Reference: AWS Cloud Operations & Compute Guide - Modifying EC2 Instance Types for Performance Optimization
NEW QUESTION # 22
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: D
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.
Reference: AWS Cloud Operations - EventBridge Cross-Account Event Delivery Section, Permissions for Event Bus Targets and Organizational Event Routing
NEW QUESTION # 23
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