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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q91-Q96):

NEW QUESTION # 91
A SysOps administrator must load test a new Amazon CloudFront distribution to assess data transfer and latency performance. Which solution will meet this requirement?

A. Send client requests from multiple geographic regions. Configure the load test so that each client makes an identical DNS request. Focus the client requests on the IP address that the DNS returns.
B. Send client requests from a single geographic region. Configure the load test so that each client makes an independent DNS request. Spread the client requests across the set of IP addresses that the DNS returns.
C. Send client requests from multiple geographic regions. Configure the load test so that each client makes an independent DNS request. Spread the client requests across the set of IP addresses that the DNS returns.
D. Send client requests from a single geographic region. Configure the load test so that each client makes an identical DNS request. Focus the client requests on the IP address that the DNS returns.

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 # 92
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. Use the Snapshot Deletion Policy in the CloudFormation template definition of the RDS instance.
B. Write a script to continue backing up the RDS instance every five minutes.
C. Create a new CloudFormation template to perform backups of the RDS instance, and run this template before deleting the stack.
D. Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.

Answer: A

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) Exam Guide - Deployment, Provisioning and Automation* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)* AWS Well-Architected Framework - Operational Excellence Pillar

NEW QUESTION # 93
A company runs a website on Amazon EC2 instances. Users can upload images to an Amazon S3 bucket and publish the images to the website. The company wants to deploy a serverless image-processing application that uses an AWS Lambda function to resize the uploaded images.
The company's development team has created the Lambda function. A CloudOps engineer must implement a solution to invoke the Lambda function when users upload new images to the S3 bucket.
Which solution will meet this requirement?

A. Configure an Amazon CloudWatch alarm to invoke the Lambda function when a user uploads a new image to the S3 bucket.
B. Configure S3 Event Notifications to invoke the Lambda function when a user uploads a new image to the S3 bucket.
C. Configure an Amazon Simple Queue Service (Amazon SQS) queue to invoke the Lambda function when a user uploads a new image to the S3 bucket.
D. Configure an Amazon Simple Notification Service (Amazon SNS) topic to invoke the Lambda function when a user uploads a new image to the S3 bucket.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
Use Amazon S3 Event Notifications with AWS Lambda to trigger image processing on object creation. S3 natively supports invoking Lambda for events such as s3:ObjectCreated:*, providing a serverless, low-latency pipeline without managing additional services. AWS operational guidance states that "Amazon S3 can directly invoke a Lambda function in response to object-created events," allowing you to pass event metadata (bucket/key) to the function for resizing and writing results back to S3. This approach minimizes operational overhead, scales automatically with upload volume, and integrates with standard retry semantics. SNS or SQS can be added for fan-out or buffering patterns, but they are not required when the requirement is simply "invoke the Lambda function on upload." CloudWatch alarms do not detect individual S3 object uploads and cannot directly satisfy per-object triggers. Therefore, configuring S3 → Lambda event notifications meets the requirement most directly and aligns with CloudOps best practices for event-driven, serverless automation.
References (AWS CloudOps Documents / Study Guide):
* Using AWS Lambda with Amazon S3 (Lambda Developer Guide)
* Amazon S3 Event Notifications (S3 User Guide)
* AWS Well-Architected - Serverless Applications (Operational Excellence)

NEW QUESTION # 94
A company uses multiple Amazon RDS databases to support an application. The application receives all its traffic during weekdays and is idle during weekends. The company wants a solution to automatically manage the RDS DB instances during idle periods to optimize costs.
Which solution will meet these requirements?

A. Use a cron job to automatically scale down the RDS DB instance type during weekends.
B. Configure Instance Scheduler on AWS to stop the RDS DB instances at the beginning of each weekend and to start the instances at the end of each weekend.
C. Use the auto scaling feature of Amazon RDS to automatically adjust the DB instance type based on CPU utilization.
D. Purchase Reserved Instances for the RDS DB instances.

Answer: B

Explanation:
Comprehensive Explanation (250-350 words):
The Instance Scheduler on AWS is an AWS-provided solution designed specifically to start and stop AWS resources such as Amazon RDS instances on a defined schedule. This directly aligns with the requirement to automatically manage RDS instances during predictable idle periods, such as weekends, to reduce costs.
RDS instances incur compute charges while running, even if idle. Stopping them during weekends eliminates those charges while retaining storage and backups. Instance Scheduler supports tag-based scheduling, centralized management, and automated start/stop workflows without custom scripting.
Option A introduces custom automation and ongoing maintenance overhead. Option C (Reserved Instances) is unsuitable because the databases are idle for long, predictable periods and Reserved Instances charge regardless of usage. Option D is incorrect because RDS does not support auto scaling of DB instance classes based on utilization.
Instance Scheduler is the most cost-effective and operationally efficient solution for this use case.

NEW QUESTION # 95
A company has an on-premises DNS solution and wants to resolve DNS records in an Amazon Route 53 private hosted zone for example.com. The company has set up an AWS Direct Connect connection for network connectivity between the on-premises network and the VPC. A CloudOps engineer must ensure that an on-premises server can query records in the example.com domain.
What should the CloudOps engineer do to meet these requirements?

A. Create a Route 53 Resolver inbound endpoint. Attach a security group to the endpoint to allow inbound traffic on TCP/UDP port 53 from the on-premises DNS servers.
B. Create a Route 53 Resolver outbound endpoint. Attach a security group to the endpoint to allow outbound traffic on TCP/UDP port 53 to the on-premises DNS servers.
C. Create a Route 53 Resolver inbound endpoint. Attach a security group to the endpoint to allow outbound traffic on TCP/UDP port 53 to the on-premises DNS servers.
D. Create a Route 53 Resolver outbound endpoint. Attach a security group to the endpoint to allow inbound traffic on TCP/UDP port 53 from the on-premises DNS servers.

Answer: A

Explanation:
According to AWS Cloud Operations and Networking documentation, Route 53 Resolver inbound endpoints allow DNS queries to originate from on-premises DNS servers and resolve private hosted zone records in AWS. The inbound endpoint provides DNS resolver IP addresses within the VPC, which the on-premises DNS servers can forward queries to over AWS Direct Connect or VPN connections.
The inbound endpoint must be associated with a security group that permits inbound traffic on TCP and UDP port 53 from the on-premises DNS server IP addresses. This ensures that DNS requests from the on-premises environment reach the VPC Resolver for resolution of private domains like example.com.
By contrast, outbound endpoints are used for the opposite direction-resolving external (on-premises or internet) DNS names from within AWS VPCs. Therefore, only an inbound endpoint correctly satisfies the direction of resolution in this scenario.

NEW QUESTION # 96
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