SOA-C03 Lab Questions | Exam SOA-C03 Collection

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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
Topic 2	Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
Topic 3	Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.
Topic 4	Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
Topic 5	Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q294-Q299):

NEW QUESTION # 294
A company has deployed Amazon EC2 instances from custom AMIs in two AWS Regions. All instances are registered with AWS Systems Manager. The company discovers a critical zero-day OS exploit but does not know which instances are affected.
A CloudOps engineer must deploy operating system patches with the LEAST operational overhead.
Which solution will meet this requirement?

A. Use EventBridge to trigger patching automatically.
B. Use AWS Config to identify affected instances and then patch them.
C. Update the AMIs and manually replace instances.
D. Define a patch baseline in Systems Manager Patch Manager. Run a scan to identify affected instances and use Patch Now in each Region.

Answer: D

Explanation:
AWS Systems Manager Patch Manager provides a centralized and automated way to scan, identify, and remediate missing patches across managed instances. Patch baselines define which patches are approved, and scan operations identify affected instances without applying changes.
Using Patch Now allows immediate remediation across Regions with minimal setup. Other options introduce unnecessary complexity or require manual intervention.
Therefore, Patch Manager with scan and Patch Now is the least operationally intensive solution.

NEW QUESTION # 295
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?

A. The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance.
B. The Auto Scaling group will launch an additional EC2 instance every time the RequestCountPerTarget metric exceeds the predefined limit.
C. The Auto Scaling group will try to distribute the traffic among all EC2 instances before launching another instance.
D. The Auto Scaling group will send an alert to the ALB to rebalance the traffic and not add new EC2 instances until the load is normalized.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References:* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence

NEW QUESTION # 296
A company has scientists who upload large data objects to an Amazon S3 bucket. The scientists upload the objects as multipart uploads. The multipart uploads often fail because of poor end- client connectivity.
The company wants to optimize storage costs that are associated with the data. A CloudOps engineer must implement a solution that presents metrics for incomplete uploads. The solution also must automatically delete any incomplete uploads after 7 days.
Which solution will meet these requirements?

A. Implement S3 Intelligent-Tiering to move data into lower-cost storage classes after 7 days. Create an S3 Storage Lens policy to automatically delete any incomplete multipart uploads after 7 days.
B. Access the S3 console. Review the Metrics tab to check the storage that incomplete multipart uploads are consuming. Create an AWS Lambda function to delete any incomplete multipart uploads after 7 days.
C. Review the Incomplete Multipart Upload Bytes metric in the S3 Storage Lens dashboard. Create an S3 Lifecycle policy to automatically delete any incomplete multipart uploads after 7 days.
D. Use the S3 analytics storage class analysis tool to identify and measure incomplete multipart uploads. Configure an S3 bucket policy to enforce restrictions on multipart uploads to delete incomplete multipart uploads after 7 days.

Answer: C

Explanation:
S3 Storage Lens provides visibility into incomplete multipart upload storage through metrics such as incomplete multipart upload bytes. An S3 Lifecycle rule can be configured to abort incomplete multipart uploads after 7 days, which automatically removes the uploaded parts and reduces unnecessary storage costs.

NEW QUESTION # 297
A company hosts a web application on an Amazon EC2 instance. The web server logs are published to Amazon CloudWatch Logs. The log events have the same structure and include the HTTP response codes that are associated with the user requests. The company needs to monitor the number of times that the web server returns an HTTP 404 response.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a script that runs a CloudWatch Logs Insights query that counts the number of 404 codes in the log events during the past hour.
B. Create a CloudWatch Logs metric filter that counts the number of times that the web server returns an HTTP 404 response.
C. Create an AWS Lambda function that runs a CloudWatch Logs Insights query that counts the number of 404 codes in the log events during the past hour.
D. Create a CloudWatch Logs subscription filter that counts the number of times that the web server returns an HTTP 404 response.

Answer: B

Explanation:
A CloudWatch Logs metric filter can automatically scan log events in real time and extract specific patterns - such as HTTP 404 response codes - to publish custom metrics. This provides continuous, automated monitoring without the need for scheduled queries or external scripts, making it the most operationally efficient and scalable solution.

NEW QUESTION # 298
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. Create a new CloudFormation template to perform backups of the RDS instance, and run this template before deleting the stack.
C. Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.
D. Write a script to continue backing up the RDS instance every five minutes.

Answer: A

Explanation:
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.

NEW QUESTION # 299
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