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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
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	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q284-Q289):

NEW QUESTION # 284
A company uses hundreds of Amazon EC2 On-Demand Instances and Spot Instances to run production and non-production workloads. The company installs and configures the AWS Systems Manager Agent (SSM Agent) on the EC2 instances.
During a recent instance patch operation, some instances were not patched because the instances were either busy or down. The company needs to generate a report that lists the current patch version of all instances.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use Systems Manager Inventory to collect patch versions. Generate a report of all instances.
B. Use AWS Config to monitor the patch status of the EC2 instances by using output from the SSM Agents. Create a configuration compliance rule to check whether patches are installed. Generate a report of all instances.
C. Use Systems Manager Run Command to remotely collect patch version information. Generate a report of all instances.
D. Use AWS Config to track EC2 instance configuration changes by using output from the SSM Agents.
Create a custom rule to check for patch versions. Generate a report of all unpatched instances.

Answer: A

Explanation:
AWS Systems Manager Inventory is designed to collect metadata from managed instances, including installed software, applications, and patch information. It works asynchronously and does not require instances to be actively running a command at the time of collection, which is critical when instances may be busy or temporarily unavailable during patch windows.
Inventory data is stored centrally and can be queried to generate reports showing the current patch level or installed patch versions across all managed instances. This makes it well-suited for large fleets that include both On-Demand and Spot Instances and that may scale dynamically.
Option B relies on Run Command, which requires instances to be online and available at execution time. This does not meet the requirement because some instances were already missed during patch operations due to being busy or down. Option C and Option D use AWS Config, which is primarily intended for configuration compliance and drift detection, not detailed patch version reporting. Creating custom or managed rules for patch status introduces unnecessary complexity and overhead compared to Inventory's built-in capability.
Therefore, Systems Manager Inventory provides the most operationally efficient and reliable solution for collecting and reporting patch version data across all EC2 instances.

NEW QUESTION # 285
A company has an AWS CloudFormation template that includes an AWS::EC2::Instance resource and a custom resource (Lambda function). The Lambda function fails because it runs before the EC2 instance is launched.
Which solution will resolve this issue?

A. Update the Lambda function to use the cfn-response module to send a response to the custom resource.
B. Add a DependsOn attribute to the custom resource. Specify the EC2 instance in the DependsOn attribute.
C. Update the custom resource's service token to point to a valid Lambda function.
D. Use the Fn::If intrinsic function to check for the EC2 instance before the custom resource runs.

Answer: B

Explanation:
The AWS Cloud Operations and Infrastructure-as-Code documentation specifies that when using AWS CloudFormation, resources are created in parallel by default unless explicitly ordered using DependsOn.
If a custom resource (Lambda) depends on another resource (like an EC2 instance) to exist before execution, a DependsOn attribute must be added to enforce creation order. This ensures the EC2 instance is launched and available before the custom resource executes its automation logic.
Updating the service token (Option B) doesn't affect order of execution. The cfn-response module (Option C) handles callback communication but not sequencing. Fn::If (Option D) is for conditional creation, not dependency control.
Therefore, Option A is correct - adding a DependsOn attribute guarantees that CloudFormation provisions the EC2 instance before executing the Lambda custom resource.

NEW QUESTION # 286
An Amazon EC2 instance is running an application that uses Amazon Simple Queue Service (Amazon SQS) queues. A CloudOps engineer must ensure that the application can read, write, and delete messages from the SQS queues.
Which solution will meet these requirements in the MOST secure manner?

A. Create and associate an IAM role that allows EC2 instances to call AWS services. Attach an IAM policy to the role that allows sqs:* permissions to the appropriate queues.
B. Create an IAM user with an IAM policy that allows the sqs:SendMessage permission, the sqs:
ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues. Embed the IAM user ' s credentials in the application ' s configuration.
C. Create an IAM user with an IAM policy that allows the sqs:SendMessage permission, the sqs:
ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues. Export the IAM user ' s access key and secret access key as environment variables on the EC2 instance.
D. Create and associate an IAM role that allows EC2 instances to call AWS services. Attach an IAM policy to the role that allows the sqs:SendMessage permission, the sqs:ReceiveMessage permission, and the sqs:DeleteMessage permission to the appropriate queues.

Answer: D

Explanation:
The most secure pattern is to use an IAM role for Amazon EC2 with the minimum required permissions.
AWS guidance states: "Use roles for applications that run on Amazon EC2 instances" and "grant least privilege by allowing only the actions required to perform a task." By attaching a role to the instance, short- lived credentials are automatically provided through the instance metadata service; this removes the need to create long-term access keys or embed secrets. Granting only sqs:SendMessage, sqs:ReceiveMessage, and sqs:
DeleteMessage against the specific SQS queues enforces least privilege and aligns with CloudOps security controls. Options A and B rely on IAM user access keys, which contravene best practices for workloads on EC2 and increase credential-management risk. Option C uses a role but grants sqs:*, violating least-privilege principles. Therefore, Option D meets the security requirement with scoped, temporary credentials and precise permissions.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Security & Compliance* IAM Best Practices - "Use roles instead of long-term access keys," "Grant least privilege"* IAM Roles for Amazon EC2 - Temporary credentials for applications on EC2* Amazon SQS - Identity and access management for Amazon SQS

NEW QUESTION # 287
A company needs to copy an Amazon Aurora database from one AWS account to a second account that uses a second AWS Region. A CloudOps engineer must automate this process to occur every day.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure AWS Application Migration Service to replicate the Aurora database. Specify the second account and the second Region as the destination.
B. Create a backup plan in AWS Backup. Specify the second account and the second Region as the destination.
C. Configure Amazon EventBridge Scheduler with a recurring rule. Add the RDS StartExportTask API operation as a target. Specify the relevant details about the database and an Amazon S3 bucket to store the exported data. Create a replication rule for the S3 bucket to replicate data to the second account and the second Region.
D. Create an Amazon EventBridge rule that runs on a schedule. Create an AWS Lambda function that runs an automation script to copy the database to the second account and the second Region. Use the EventBridge rule to invoke the Lambda function.

Answer: B

Explanation:
AWS Backup provides managed backup plans and supports cross-account and cross-Region backup copy workflows for supported AWS resources, including database backup scenarios. This is the least operationally intensive approach because scheduling, retention, copy operations, and monitoring are handled by AWS Backup instead of custom scripts. Option B can work but requires Lambda code, credentials, retries, error handling, and maintenance. Option C exports data to S3 and then replicates files, which is not the same as a managed Aurora backup copy and adds unnecessary complexity. AWS Application Migration Service is intended for server migration and lift-and-shift replication, not daily Aurora database backup copying.
Therefore, an AWS Backup plan with the second account and second Region as the destination best matches automated disaster recovery and operational efficiency.

NEW QUESTION # 288
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. Adjust the minimum capacity of the Auto Scaling group to the size required to meet the increased demand during the 2-hour period.
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. 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.

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 # 289
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