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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	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 3	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 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 (Q67-Q72):

NEW QUESTION # 67
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?

A. Create an Amazon Machine Image (AMI) from a healthy instance. Launch an additional instance from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.
B. Create an Amazon Machine Image (AMI) from a healthy instance. Create a launch template that uses the AMI. Create an Amazon EC2 Auto Scaling group that is deployed across multiple Availability Zones. Configure the Auto Scaling group to add instances to the ALB target group.
C. Create an Amazon Machine Image (AMI) from a healthy instance. Launch additional instances from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
D. Increase the size of each instance. Create an Amazon EventBridge rule. Configure the EventBridge rule to restart the instances if they enter a failed state.

Answer: B

Explanation:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide). The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to "automate recovery from failure" (AWS Well-Architected Framework - Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high-availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps-aligned solution for resilience and business continuity.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 2 - Reliability and Business Continuity
* AWS Well-Architected Framework - Reliability Pillar
* Amazon EC2 Auto Scaling User Guide - Health checks and replacement
* Elastic Load Balancing User Guide - Target group health checks and ALB integration
* Amazon EC2 Launch Templates - Reproducible instance configuration

NEW QUESTION # 68
A company hosts a static website in Amazon S3 behind an Amazon CloudFront distribution. When new versions are deployed, users sometimes do not see updated content immediately.
Which solution will meet this requirement?

A. Attach the CachingOptimized managed cache policy to the distribution.
B. Create a CloudFront invalidation.
C. Configure the CloudFront distribution to add a custom Cache-Control header to requests for content from the S3 bucket.
D. Modify the distribution settings to specify the protocol as HTTPS only.

Answer: B

Explanation:
The AWS Cloud Operations and Content Delivery documentation explains that Amazon CloudFront caches objects in edge locations for a defined time based on TTL settings or origin headers. When new content is deployed to the S3 origin, previously cached versions remain in edge caches until they expire.
To immediately serve the new version, CloudOps engineers must initiate a CloudFront invalidation, which removes cached objects from all edge locations. This forces CloudFront to fetch the latest version from the origin (S3).
Invalidations can target individual objects (e.g., /index.html) or wildcard paths (e.g., /*) and are the AWS- recommended approach for dynamic content refresh after static site updates.
Changing headers (Option A), enforcing HTTPS (Option B), or applying caching policies (Option C) do not directly refresh outdated cache content.
Thus, Option D - issuing a CloudFront invalidation - ensures users receive the latest website content immediately after deployment.
Reference: AWS Cloud Operations & Content Delivery Guide - Using Invalidation to Refresh Cached Content in CloudFront

NEW QUESTION # 69
A company hosts an ecommerce website on a fleet of Nitro-based Amazon EC2 Linux instances.
During a recent sales event, some customers reported HTTP timeout errors.
To help identify the root cause of the errors, a CloudOps engineer needs more detailed network metrics from the Elastic Network Adapter (ENA) driver. The CloudOps engineer must obtain the conntrack_allowance_available metric and the conntrack_allowance_exceeded metric.
Which solution will provide these metrics with the MOST operational efficiency?

A. Install the collectd daemon and the Amazon CloudWatch agent on the EC2 instances. Filter by the conntrack_allowance_available metric and the conntrack_allowance_exceeded metric.
B. Enable Performance Insights for the instances. Use Amazon CloudWatch to view the conntrack_allowance_available metric and the conntrack_allowance_exceeded metric.
C. Install the Amazon CloudWatch agent on the instances. Filter by the
conntrack_allowance_available metric and the conntrack_allowance_exceeded metric.
D. Enable VPC Flow Logs. Filter by the conntrack_allowance_available metric and the conntrack_allowance_exceeded metric.

Answer: C

Explanation:
The Amazon CloudWatch agent can collect ENA driver network performance metrics from Nitro- based EC2 Linux instances, including connection tracking allowance metrics such as conntrack_allowance_available and conntrack_allowance_exceeded. This provides the needed instance-level network metrics directly in CloudWatch with the least operational overhead.

NEW QUESTION # 70
A company has a non-production application that runs on an Amazon EC2 instance. The instance has an Amazon EBS volume attached. Each time an instance health check fails, a CloudOps engineer resolves the issue by rebooting the instance.
The CloudOps engineer must implement an automated solution to reboot the instance after a failed health check. The CloudOps engineer creates a service-linked IAM role for Amazon EventBridge.
What should the CloudOps engineer do next to meet the automation requirement?

A. Create an Amazon CloudWatch alarm for the HealthyHostCount metric. Include a search expression in the alarm that matches the instance. Configure the alarm to perform an EC2 reboot action when the metric value is greater than zero.
B. Configure detailed monitoring for the instance. Create an Amazon CloudWatch alarm for the StatusCheckFailed_Instance metric. Use the EC2 Amazon Machine Image (AMI) ID as a dimension. Configure the alarm to perform an EC2 stop instance operation and then an EC2 start instance operation when the metric value is greater than zero.
C. Create an Amazon CloudWatch alarm for the StatusCheckFailed_Instance metric. Include a search expression in the alarm that matches the instance. Configure the alarm to perform an EC2 recover action when the metric value is greater than zero.
D. Create an Amazon CloudWatch alarm for the StatusCheckFailed_Instance metric. Use the instance ID as a dimension. Configure the alarm to perform an EC2 reboot action when the metric value is greater than zero.

Answer: D

Explanation:
The StatusCheckFailed_Instance metric detects instance-level status check failures. Using the instance ID as the metric dimension targets the specific EC2 instance, and configuring the CloudWatch alarm with an EC2 reboot action automatically reboots the instance whenever the status check failure is detected.

NEW QUESTION # 71
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. Set up a forwarding rule for reverse DNS queries in Amazon Route 53 Resolver. Set the enableDnsHostnames attribute to true for the VPC.
C. 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.
D. 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.

Answer: D

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 # 72
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