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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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 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 (Q31-Q36):

NEW QUESTION # 31
A company uses AWS Organizations to manage a set of AWS accounts. The company has set up organizational units (OUs) in the organization. An application OU supports various applications.
A CloudOps engineer must prevent users from launching Amazon EC2 instances that do not have a CostCenter-Project tag into any account in the application OU. The restriction must apply only to accounts in the application OU.
Which solution will meet these requirements?

A. Create a service control policy (SCP) that denies the ec2:RunInstances action when the CostCenter-Project tag is missing. Attach the SCP to the root OU.
B. Create a service control policy (SCP) that denies the oc2:RunInstances action when the CostCenter-Project tag is missing. Attach the SCP to the application OU.
C. Create an IAM group that has a policy that allows the ec2:RunInstances action when the CostCenter-Project tag is present. Place all IAM users who need access to the application accounts in the IAM group.
D. Create an IAM role that has a policy that allows the oc2:RunInstances action when the CostCenter-Project tag is present. Attach the IAM role to the IAM users that are in the application OU accounts.

Answer: B

Explanation:
To enforce a mandatory tag across multiple accounts in an OU, you use a service control policy.
An SCP with a Deny on ec2:RunInstances when the CostCenter-Project tag is not present will block launches of untagged instances in all accounts in that OU, regardless of local IAM policies.
Attaching it to the application OU ensures the restriction applies only there and not to other OUs or the entire organization.

NEW QUESTION # 32
A company has a stateful web application that is hosted on Amazon EC2 instances in an Auto Scaling group.
The instances run behind an Application Load Balancer (ALB) that has a single target group. The ALB is configured as the origin in an Amazon CloudFront distribution. Users are reporting random logouts from the web application.
Which combination of actions should a CloudOps engineer take to resolve this problem? (Select TWO.)

A. Enable sticky sessions on the ALB target group.
B. Configure header forwarding in the CloudFront distribution cache behavior.
C. Configure cookie forwarding in the CloudFront distribution cache behavior.
D. Change to the least outstanding requests algorithm on the ALB target group.
E. Enable group-level stickiness on the ALB listener rule.

Answer: A,C

Explanation:
Comprehensive Explanation (250-350 words):
Stateful applications require session persistence to ensure that subsequent requests from the same user are routed to the same backend instance. When CloudFront is used in front of an ALB, session-related cookies must be forwarded correctly; otherwise, CloudFront can route requests to different targets, causing session loss and random logouts.
Configuring cookie forwarding in the CloudFront cache behavior ensures that session cookies (such as authentication tokens) are forwarded to the ALB and not stripped or cached incorrectly. Without this configuration, CloudFront may serve cached responses that do not align with the user's active session state, leading to authentication issues.
On the ALB side, sticky sessions (session affinity) must be enabled on the target group to ensure that requests with the same session cookie are consistently routed to the same EC2 instance. ALB stickiness uses application cookies to bind a user session to a specific target, which is critical for stateful applications that store session data in memory.
Option A affects load distribution efficiency but does not address session persistence. Option C (header forwarding) is unnecessary unless the application explicitly stores session state in headers, which is uncommon. Option D applies only when using multiple target groups and listener rules, which is not the case here.
Together, enabling cookie forwarding in CloudFront and sticky sessions at the ALB target group resolves the logout issue by maintaining consistent session routing from the user through CloudFront to the same backend instance.

NEW QUESTION # 33
A user working in the Amazon EC2 console increased the size of an Amazon Elastic Block Store (Amazon EBS) volume attached to an Amazon EC2 Windows instance. The change is not reflected in the file system.
What should a CloudOps engineer do to resolve this issue?

A. Extend the file system with operating system-level tools to use the new storage capacity.
B. Reattach the EBS volume to the EC2 instance.
C. Reboot the EC2 instance that is attached to the EBS volume.
D. Take a snapshot of the EBS volume. Replace the original volume with a volume that is created from the snapshot.

Answer: A

Explanation:
When an Amazon EBS volume is resized, the new storage capacity is immediately available to the attached EC2 instance. However, EBS does not automatically extend the file system. The CloudOps engineer must manually extend the file system within the operating system to utilize the additional space.
AWS documentation for EC2 and EBS specifies:
"After you increase the size of an EBS volume, use file system-specific tools to extend the file system so that the operating system can use the new storage capacity." On Windows instances, this can be achieved through Disk Management or diskpart commands. On Linux systems, utilities such as growpart and resize2fs are used.
Options B and C do not modify file system metadata and are ineffective. Option D unnecessarily replaces the volume, which adds risk and downtime. Thus, Option A aligns with the Monitoring and Performance Optimization practices of AWS CloudOps by properly extending the file system to recognize the new capacity.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1
* Amazon EBS - Modifying EBS Volumes
* Amazon EC2 User Guide - Extending a File System After Resizing a Volume
* AWS Well-Architected Framework - Performance Efficiency Pillar

NEW QUESTION # 34
A company runs an application on Amazon EC2 instances behind an Elastic Load Balancer (ELB) in an Auto Scaling group. The application performs well except during a 2-hour period of daily peak traffic, when performance slows.
A CloudOps engineer must resolve this issue with minimal operational effort.
What should the engineer do?

A. Manually add a few more EC2 instances to the Auto Scaling group to support the increase in user traffic. Enable instance scale-in protection on the Auto Scaling group.
B. Create a scheduled scaling action to scale out the number of EC2 instances shortly before the increase in user traffic occurs.
C. Adjust the launch template that is associated with the Auto Scaling group to be more sensitive to increases in user traffic.
D. Adjust the minimum capacity of the Auto Scaling group to the size required to meet the increased demand during the 2-hour period.

Answer: B

Explanation:
According to the AWS Cloud Operations and Compute documentation, when workloads exhibit predictable traffic patterns, the best practice is to use scheduled scaling for Amazon EC2 Auto Scaling groups.
With scheduled scaling, administrators can predefine the desired capacity of an Auto Scaling group to increase before anticipated demand (in this case, before the 2-hour peak) and scale back down afterward. This ensures that sufficient compute capacity is provisioned proactively, avoiding performance degradation while maintaining cost efficiency.
AWS notes: "Scheduled actions enable scaling your Auto Scaling group at predictable times, allowing you to pre-warm instances before demand spikes." Manual scaling (Option D) adds operational overhead. Adjusting launch templates (Option B) doesn't affect scaling behavior, and permanently increasing minimum capacity (Option A) wastes resources outside of peak hours.
Thus, Option C provides an automated, cost-effective, and operationally efficient CloudOps solution.

NEW QUESTION # 35
A company has a microservice that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). A CloudOps engineer must use Amazon Route 53 to create a record that maps the ALB URL to example.com.
Which type of Route 53 record will meet this requirement?

A. An AAAA record
B. An alias record
C. An A record
D. A CNAME record

Answer: B

Explanation:
Route 53 alias records are designed to map custom domain names to AWS resources such as ALBs, CloudFront distributions, and S3 website endpoints. Alias records behave like A records but point to AWS- managed resources instead of IP addresses.
Alias records are preferred over CNAME records because they can be used at the zone apex (example.com), do not incur additional DNS query charges, and automatically track changes to the underlying AWS resource.
A and AAAA records require fixed IP addresses, which ALBs do not provide. CNAME records cannot be used at the root domain.
Therefore, an alias record is the correct solution.

NEW QUESTION # 36
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