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Title: Free PDF 2026 Efficient Amazon SOA-C03 Exam Cram Review
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q65-Q70):NEW QUESTION # 65
A SysOps administrator monitors and maintains the availability of resources in an AWS environment. The SysOps administrator notices that the CPU utilization of an Amazon EC2 instance that runs web server software peaks above 80% at various times during each day. The CPU spikes correlate with peak daily loads.
The high CPU load has resulted in performance issues for customers.
The SysOps administrator needs to resolve the system performance issue without causing any service disruptions. Which solution will meet these requirements?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to fix performance degradation from predictable peak CPU load without service disruptions. The most reliable and operationally standard approach is horizontal scaling with an Auto Scaling group driven by CloudWatch metrics/alarms (or target tracking). Launching additional instances and distributing traffic (typically behind a load balancer) increases capacity while keeping existing instances serving requests-no reboot or stop/start required.
Option D meets the requirement because Auto Scaling can add capacity when CPU exceeds a threshold and remove capacity when demand falls. This improves performance during peak periods and maintains availability. It is also operationally efficient: scaling actions are automated, consistent, and can be tuned with cooldowns/health checks.
Options A and C describe vertical scaling (instance resize). Resizing an EC2 instance type generally requires stopping the instance, changing the type, and starting it again-this is disruptive for a single-instance web server and often causes downtime. Option B (restarting the application) directly introduces disruption and does not address underlying capacity constraints; it can also worsen customer impact during peaks.
References:
Amazon EC2 Auto Scaling User Guide - Scaling policies and CloudWatch integration Amazon CloudWatch User Guide - Alarms triggering Auto Scaling actions AWS Well-Architected Framework - Performance Efficiency and Reliability guidance

NEW QUESTION # 66
Application A runs on Amazon EC2 instances behind a Network Load Balancer (NLB). The EC2 instances are in an Auto Scaling group and are in the same subnet that is associated with the NLB. Other applications from an on-premises environment cannot communicate with Application A on port 8080.
To troubleshoot the issue, a CloudOps engineer analyzes the flow logs. The flow logs include the following records:
ACCEPT from 192.168.0.13:59003 ¡ú 172.31.16.139:8080
REJECT from 172.31.16.139:8080 ¡ú 192.168.0.13:59003
What is the reason for the rejected traffic?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
VPC Flow Logs show the request arriving and being ACCEPTed on dstport 8080 and the corresponding response being REJECTed on the return path to the client's ephemeral port (59003). AWS networking guidance states that security groups are stateful (return traffic is automatically allowed) while network ACLs are stateless and require explicit inbound and outbound rules for both directions. CloudOps operational guidance for VPC networking further notes that when you allow an inbound request (for example, TCP 8080) through a subnet's network ACL, you must also allow the outbound ephemeral port range (typically 1024-65535) for the response traffic; otherwise, the return packets are dropped and appear as REJECT in flow logs. The observed pattern-request accepted to 8080, response rejected to 59003-matches a missing outbound ephemeral-range allow on the subnet's NACL. Therefore, the cause is the subnet NACL, not security groups or on-premises ACLs. The remediation is to add an outbound ALLOW rule on the NACL for the appropriate ephemeral TCP port range back to the on-premises CIDR (and the corresponding inbound rule if asymmetric).
References (AWS CloudOps documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Networking and Content Delivery
* Amazon VPC - Network ACLs (stateless behavior and rule requirements)
* Amazon VPC - Security Groups (stateful return traffic)
* VPC Flow Logs - Record fields, ACCEPT/REJECT analysis

NEW QUESTION # 67
A company runs several workloads on AWS. The company identifies five AWS Trusted Advisor service quota metrics to monitor in a specific AWS Region. The company wants to receive email notifications each time resource usage exceeds 60% of one of the service quotas.
Which solution will meet these requirements?
Answer: C
Explanation:
Comprehensive Explanation (250-350 words):
AWS Trusted Advisor publishes service quota metrics to Amazon CloudWatch. These metrics can be monitored using CloudWatch alarms, which support threshold-based alerting. By creating a CloudWatch alarm for each service quota metric, the CloudOps engineer can trigger alerts when usage exceeds 60%.
Amazon SNS is the AWS-native service for email notifications. CloudWatch alarms integrate directly with SNS, making this the most straightforward solution. SNS supports email subscriptions without additional infrastructure.
Options B and C incorrectly use SQS for email notifications, which requires additional processing and does not natively send emails. Option D relies on the AWS Health Dashboard, which does not support configurable threshold-based alerts for service quotas.
Therefore, CloudWatch alarms combined with SNS provide the correct and most efficient solution.

NEW QUESTION # 68
A CloudOps engineer must manage the security of an AWS account. Recently, an IAM user's access key was mistakenly uploaded to a public code repository. The engineer must identify everything that was changed using this compromised key.
How should the CloudOps engineer meet these requirements?
Answer: C
Explanation:
According to the AWS Cloud Operations and Security documentation, AWS CloudTrail is the authoritative service for recording API activity across all AWS services within an account.
When an access key is compromised, CloudTrail logs all API requests made using that key, including details such as:
* The user identity (access key ID) that made the request,
* The service, operation, resource, and timestamp affected, and
* The source IP address and region of the request.
By searching the CloudTrail event history for the specific access key ID, the CloudOps engineer can identify every action performed by that key during the suspected breach window.
Other options are incorrect:
* EventBridge (A) is event-driven, not historical.
* CloudWatch Logs (B) monitors system logs, not AWS API activity.
* VPC Flow Logs (D) track network-level traffic, not API calls.
Therefore, the correct solution is Option C - using AWS CloudTrail event history to audit and trace all actions executed via the compromised access key.
Reference: AWS Cloud Operations & Security Management Guide - Investigating Compromised Access Keys Using AWS CloudTrail

NEW QUESTION # 69
A web application runs on Amazon EC2 instances in the us-east-1 Region and the us-west-2 Region. The instances run behind an Application Load Balancer (ALB) in each Region. An Amazon Route 53 hosted zone controls DNS records.
The instances in us-east-1 are production resources. The instances in us-west-2 are for disaster recovery. EC2 Auto Scaling groups are configured based on the ALBRequestCountPerTarget metric in both Regions.
A SysOps administrator must implement a solution that provides failover from us-east-1 to us-west-2. The instances in us-west-2 must be used only for failover.
Which solution will meet these requirements?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is classic active-passive (production in us-east-1, DR in us-west-2 "only for failover"). The most operationally efficient and purpose-built solution is Route 53 failover routing combined with health checks. With failover routing, Route 53 designates one record as PRIMARY (us-east-1) and another as SECONDARY (us-west-2). Route 53 continuously evaluates the health check associated with the primary endpoint (commonly the ALB DNS name or a specific health-check path). If the primary fails, Route 53 automatically returns the secondary record, directing client DNS resolution to the DR region. This ensures us- west-2 is used only when us-east-1 is unhealthy, directly matching the requirement.
Latency routing (Option B) is designed to route users to the region with the lowest latency, which can actively send traffic to us-west-2 even when us-east-1 is healthy-violating the "DR only" constraint. Options C and D introduce custom automation (CloudWatch + Lambda + DNS record updates) that increases operational overhead, adds failure modes, and is unnecessary because Route 53 already provides managed health-check- based failover. Additionally, "EC2 instance terminated" is not a reliable proxy for full application availability, and DNS modification automation is more complex than using native Route 53 failover policies.
References:
Amazon Route 53 Developer Guide - Health checks and failover routing policy AWS Well-Architected Framework - Reliability pillar (failover, DR patterns) AWS SysOps Administrator Study Guide - DNS failover and Route 53 routing policies

NEW QUESTION # 70
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