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2025 Professional Amazon SOA-C03: AWS Certified CloudOps Engineer - Associate Interactive Questions
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q56-Q61):
NEW QUESTION # 56
A company has a microservice that runs on a set of Amazon EC2 instances. The EC2 instances run 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 record will meet this requirement?
- A. An A record
- B. An alias record
- C. An AAAA record
- D. A CNAME record
Answer: B
Explanation:
An alias record is the recommended Route 53 record type to map domain names (e.g., example.com) to AWS-managed resources such as an Application Load Balancer. Alias records are extension types of A or AAAA records that support AWS resources directly, providing automatic DNS integration and no additional query costs.
AWS documentation states:
"Use alias records to map your domain or subdomain to an AWS resource such as an Application Load Balancer, CloudFront distribution, or S3 website endpoint." A and AAAA records are used for static IP addresses, not load balancers. CNAME records cannot be used at the root domain (e.g., example.com). Thus, Option C is correct as it meets CloudOps networking best practices for scalable, managed DNS resolution to ALBs.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 5: Networking and Content Delivery
* Amazon Route 53 Developer Guide - Alias Records
* AWS Well-Architected Framework - Reliability and Performance Efficiency Pillars
* Elastic Load Balancing - Integrating with Route 53
NEW QUESTION # 57
A company needs to enforce tagging requirements for Amazon DynamoDB tables in its AWS accounts. A CloudOps engineer must implement a solution to identify and remediate all DynamoDB tables that do not have the appropriate tags.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a custom AWS Lambda function to evaluate and remediate all DynamoDB tables. Create an AWS Config custom rule to invoke the Lambda function.
- B. Create a custom AWS Lambda function to evaluate and remediate all DynamoDB tables. Create an Amazon EventBridge scheduled rule to invoke the Lambda function.
- C. Use the required-tags AWS Config managed rule to evaluate all DynamoDB tables for the appropriate tags. Configure an automatic remediation action that uses an AWS Systems Manager Automation custom runbook.
- D. Create an Amazon EventBridge managed rule to evaluate all DynamoDB tables for the appropriate tags. Configure the EventBridge rule to run an AWS Systems Manager Automation custom runbook for remediation.
Answer: C
Explanation:
According to the AWS Cloud Operations, Governance, and Compliance documentation, AWS Config provides managed rules that automatically evaluate resource configurations for compliance. The "required-tags" managed rule allows CloudOps teams to specify mandatory tags (e.g., Environment, Owner, CostCenter) and automatically detect non-compliant resources such as DynamoDB tables.
Furthermore, AWS Config supports automatic remediation through AWS Systems Manager Automation runbooks, enabling correction actions (for example, adding missing tags) without manual intervention. This automation minimizes operational overhead and ensures continuous compliance across multiple accounts.
Using a custom Lambda function (Options A or B) introduces unnecessary management complexity, while EventBridge rules alone (Option D) do not provide resource compliance tracking or historical visibility.
Therefore, Option C provides the most efficient, fully managed, and compliant CloudOps solution.
NEW QUESTION # 58
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 additional instances from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
- B. 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.
- C. 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.
- D. 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.
Answer: D
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 # 59
A company has an application running on EC2 that stores data in an Amazon RDS for MySQL Single-AZ DB instance. The application requires both read and write operations, and the company needs failover capability with minimal downtime.
Which solution will meet these requirements?
- A. Add a read replica in the same Availability Zone where the DB instance is deployed.
- B. Add the DB instance to an Auto Scaling group that has a minimum capacity of 2 and a desired capacity of 2.
- C. Use RDS Proxy to configure a proxy in front of the DB instance.
- D. Modify the DB instance to be a Multi-AZ DB instance deployment.
Answer: D
Explanation:
According to the AWS Cloud Operations and Database Reliability documentation, Amazon RDS Multi-AZ deployments provide high availability and automatic failover by maintaining a synchronous standby replica in a different Availability Zone.
In the event of instance failure, planned maintenance, or Availability Zone outage, Amazon RDS automatically promotes the standby to primary with minimal downtime (typically less than 60 seconds). The failover is transparent to applications because the DB endpoint remains the same.
By contrast, read replicas (Option B) are asynchronous and do not provide automated failover. Auto Scaling (Option C) applies to EC2, not RDS. RDS Proxy (Option D) improves connection management but does not add redundancy.
Thus, Option A - converting the RDS instance into a Multi-AZ deployment - delivers the required high availability and business continuity with minimal operational effort.
NEW QUESTION # 60
A company uses AWS Organizations to manage multiple AWS accounts. A CloudOps engineer must identify all IPv4 ports open to 0.0.0.0/0 across the organization's accounts.
Which solution will meet this requirement with the LEAST operational effort?
- A. Create an AWS Lambda function to gather security group rules from all accounts. Aggregate the findings in an Amazon S3 bucket.
- B. Enable Amazon Inspector in each account. Run an automated workload discovery job.
- C. Review AWS Trusted Advisor findings in an organizational view for the Security Groups - Specific Ports Unrestricted check.
- D. Use the AWS CLI to print all security group rules for review.
Answer: C
Explanation:
According to AWS Cloud Operations and Governance documentation, AWS Trusted Advisor provides automated checks for security group rules across all accounts, including identifying ports open to 0.0.0.0/0.
When viewed in organizational mode, Trusted Advisor integrates with AWS Organizations, allowing administrators to access organization-wide security findings from a central management account. This approach requires no custom code, additional infrastructure, or manual inspection, providing immediate visibility and the lowest operational overhead.
AWS CLI scripts (Option A) or Lambda automation (Option C) introduce additional maintenance, and Amazon Inspector (Option D) is focused on instance-level vulnerabilities, not network access rules.
Therefore, Option B is the AWS-recommended CloudOps best practice for centralized and low-effort open-port auditing.
NEW QUESTION # 61
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