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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	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 3	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 4	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 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 (Q117-Q122):

NEW QUESTION # 117
A CloudOps engineer has an Amazon ECS service that runs a transaction processing application. The CloudOps engineer needs to deploy a new feature on the ECS service. The feature cannot have downtime during deployment. The feature must also have the ability to run an immediate one-step rollback if a performance-degrading bug is detected.
Which solution will meet these requirements?

A. Configure a canary deployment by using an AWS CodeDeploy linear traffic shift with a 10% increment over 10 minutes.
B. Set the ECS service ' s desired count to double the current size. Manually terminate the old tasks after the new tasks are registered.
C. Configure the ECS service with a minimum healthy percentage of 100%. Use the default rolling update deployment type.
D. Implement a blue/green deployment by using AWS CodeDeploy.

Answer: D

Explanation:
Blue/green deployment with AWS CodeDeploy is the correct strategy for Amazon ECS when zero downtime and fast rollback are required. In a blue/green deployment, the current production task set remains active while a new task set is created and validated. Traffic can then be shifted safely to the new version. If the new version causes performance degradation, CodeDeploy can roll back by redirecting traffic to the previous task set. AWS ECS documentation describes blue/green deployment as a method that reduces downtime and risk by running two production environments and validating revisions before routing production traffic. Rolling updates do not provide the same immediate one-step rollback. Canary or linear traffic shifting gradually moves traffic but does not match the requirement for immediate rollback as directly as blue/green. Manual scaling is operationally weak.

NEW QUESTION # 118
A company has an application that collects notifications from thousands of alarm systems.
Notifications include alarm notifications and information notifications. All notifications are stored in an Amazon Simple Queue Service (Amazon SQS) queue. Amazon EC2 instances in an Auto Scaling group process the messages.
A CloudOps engineer needs to prioritize alarm notifications over information notifications.
Which solution will meet these requirements?

A. Scale the Auto Scaling group faster when message volume increases.
B. Use Amazon SNS fanout to send messages to all EC2 instances.
C. Create separate SQS queues for alarm notifications and information notifications and process alarm messages first.
D. Add an Amazon DynamoDB stream to accelerate processing.

Answer: C

Explanation:
Amazon SQS does not support message prioritization within a single queue. To prioritize certain messages, AWS recommends using multiple queues and processing them in priority order.
By separating alarm notifications into one queue and information notifications into another, the application can poll and process the alarm queue first. This ensures that critical alarm messages are handled immediately, even during high load.
Scaling faster or using SNS fanout does not guarantee priority. DynamoDB streams are unrelated to SQS message ordering.
Therefore, separate queues provide a simple, scalable, and effective prioritization mechanism.

NEW QUESTION # 119
A company has a web application that is experiencing performance problems many times each night. A root cause analysis reveals sudden increases in CPU utilization that last 5 minutes on an Amazon EC2 Linux instance. A CloudOps engineer must find the process ID (PID) of the service or process that is consuming more CPU.
What should the CloudOps engineer do to collect the process utilization information with the LEAST amount of effort?

A. Configure the Amazon CloudWatch agent procstat plugin to capture CPU process metrics.
B. Configure an AWS Lambda function to run every minute to capture the PID and send a notification.
C. Use the default Amazon CloudWatch CPUUtilization metric.
D. Log in to the EC2 instance each night and run the top command.

Answer: A

Explanation:
The CloudWatch agent procstat plugin is specifically designed to collect per-process metrics such as CPU usage by process ID. It allows continuous, automated monitoring without manual intervention and integrates directly with CloudWatch.
Default CloudWatch metrics provide only instance-level CPU utilization and do not expose process-level details. Manual logins and Lambda-based polling introduce unnecessary operational overhead and are not scalable.
Therefore, configuring the procstat plugin is the most efficient solution.

NEW QUESTION # 120
A company has two AWS accounts connected by a transit gateway. Each account has one VPC in the same AWS Region. The company wants to simplify inbound and outbound rules in security groups by referencing security group IDs instead of IP CIDR blocks. Which solution will meet this requirement?

A. Enable security group referencing support on each transit gateway attachment.
B. Create VPC peering connections and remove the transit gateway.
C. Deploy private NAT gateways in each VPC.
D. Enable security group referencing support on the transit gateway.

Answer: A

Explanation:
AWS Transit Gateway supports security group referencing across VPCs, but this feature must be explicitly enabled on each transit gateway attachment. Once enabled, security groups in one VPC can reference security groups in another VPC attached to the same transit gateway, simplifying rule management and improving security posture.
Enabling the feature on the transit gateway itself is not sufficient; it must be enabled per attachment to allow traffic evaluation based on security group IDs. This approach avoids brittle CIDR-based rules and allows dynamic scaling without rule updates.

NEW QUESTION # 121
A company operates compute resources in a VPC and in the company's on-premises data center. The company already has an AWS Direct Connect connection between the VPC and the on-premises data center. A CloudOps engineer needs to ensure that Amazon EC2 instances in the VPC can resolve DNS names for hosts in the on-premises data center.
Which solution will meet this requirement with the LEAST amount of ongoing maintenance?

A. Add the hostnames and IP addresses for the on-premises hosts to the /etc/hosts file of each EC2 instance.
B. Create an Amazon Route 53 Resolver outbound endpoint. Add the IP addresses of an on- premises DNS server for the domain names that need to be forwarded.
C. Set up a forwarding rule for reverse DNS queries in Amazon Route 53 Resolver. Set the enableDnsHostnames attribute to true for the VPC.
D. Create an Amazon Route 53 private hosted zone. Populate the zone with the hostnames and IP addresses of the hosts in the on-premises data center.

Answer: B

Explanation:
The Route 53 Resolver outbound endpoint enables DNS queries from resources in a VPC to be forwarded to on-premises DNS servers over an existing AWS Direct Connect or VPN connection.
By creating forwarding rules that specify which domains should be resolved through the on- premises DNS servers, EC2 instances in the VPC can seamlessly resolve internal hostnames without manual configuration or ongoing maintenance. This is the most scalable and low- maintenance solution.

NEW QUESTION # 122
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