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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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	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 5	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q70-Q75):

NEW QUESTION # 70
A CloudOps engineer needs to implement a monitoring system to collect instance metrics every minute for an application. The application runs on a highly available pair of Amazon EC2 instances. The monitoring system must send an email alert when the metrics exceed a predefined threshold. Which solution will meet these requirements?

A. Use AWS CloudTrail to monitor the instances. Copy the logs to an Amazon S3 bucket. Configure an AWS Lambda function to send email alerts based on the logs from the S3 bucket.
B. Use basic monitoring in Amazon CloudWatch for the instance metrics. Configure CloudWatch alarms that use Amazon SNS to send email alerts.
C. Use the AWS Health Dashboard to extract the instance metrics. Configure Amazon EventBridge to detect and react to changes in the metrics and to send email alerts.
D. Use detailed monitoring in Amazon CloudWatch for the instance metrics. Configure CloudWatch alarms that use Amazon SNS to send email alerts.

Answer: D

Explanation:
CloudWatch detailed monitoring collects EC2 instance metrics at 1-minute intervals. CloudWatch alarms can evaluate those metrics against predefined thresholds and use Amazon SNS to send email notifications when an alarm state is reached.

NEW QUESTION # 71
A company wants to apply an existing Amazon Route 53 private hosted zone to a new VPC to allow for customized resource name resolution within the VPC. The CloudOps engineer created the VPC and added the appropriate resource record sets to the private hosted zone. Which step should the CloudOps engineer take to complete the setup?

A. Ensure the VPC network ACLs allow traffic to the Route 53 Resolver.
B. Ensure there is a route to the Route 53 Resolver in each of the VPC route tables.
C. Create a rule in the default security group for the VPC that allows traffic to the Route 53 Resolver.
D. Associate the Route 53 private hosted zone with the VPC.

Answer: D

Explanation:
A Route 53 private hosted zone answers DNS queries only for VPCs that are associated with that hosted zone. Creating the VPC and adding records to the private hosted zone is not enough; the private hosted zone must be associated with the VPC where resolution is needed. Once associated, resources in that VPC can resolve the private DNS names according to the record sets in the hosted zone, assuming normal VPC DNS settings are enabled. Security group rules, network ACL rules, and route table entries are not the required configuration step for associating Route 53 private DNS. Route 53 Resolver is provided by AWS inside the VPC and does not require routing to an external endpoint for this use case. Therefore, the missing step is the private hosted zone-to-VPC association.

NEW QUESTION # 72
A company has deployed Amazon EC2 instances from custom AMIs in two AWS Regions. All instances are registered with AWS Systems Manager. The company discovers a critical zero-day OS exploit but does not know which instances are affected.
A CloudOps engineer must deploy operating system patches with the LEAST operational overhead.
Which solution will meet this requirement?

A. Use EventBridge to trigger patching automatically.
B. Update the AMIs and manually replace instances.
C. Define a patch baseline in Systems Manager Patch Manager. Run a scan to identify affected instances and use Patch Now in each Region.
D. Use AWS Config to identify affected instances and then patch them.

Answer: C

Explanation:
Comprehensive Explanation (250-350 words):
AWS Systems Manager Patch Manager provides a centralized and automated way to scan, identify, and remediate missing patches across managed instances. Patch baselines define which patches are approved, and scan operations identify affected instances without applying changes.
Using Patch Now allows immediate remediation across Regions with minimal setup. Other options introduce unnecessary complexity or require manual intervention.
Therefore, Patch Manager with scan and Patch Now is the least operationally intensive solution.

NEW QUESTION # 73
A company runs an application that logs user data to an Amazon CloudWatch Logs log group.
The company discovers that personal information the application has logged is visible in plain text in the CloudWatch logs.
The company needs a solution to redact personal information in the logs by default. Unredacted information must be available only to the company's security team. Which solution will meet these requirements?

A. Create an Amazon CloudWatch data protection policy for the application log group. Configure data identifiers for the types of personal information that the application logs. Ensure that the security team has permission to call the unmask API operation on the application log group.
B. Create an Amazon S3 bucket. Create an export task from appropriate log groups in CloudWatch.
Export the logs to the S3 bucket. Configure an Amazon Macie scan to discover personal data in the S3 bucket. Invoke an AWS Lambda function to move identified personal data to a second S3 bucket.
Update the S3 bucket policies to grant only the security team access to both buckets.
C. Create a customer managed AWS KMS key. Configure the KMS key policy to allow only the security team to perform decrypt operations. Associate the KMS key with the application log group.
D. Create an OpenSearch domain. Create an AWS Glue workflow that runs a Detect PII transform job and streams the output to the OpenSearch domain. Configure the CloudWatch log group to stream the logs to AWS Glue. Modify the OpenSearch domain access policy to allow only the security team to access the domain.

Answer: A

Explanation:
CloudWatch Logs data protection provides native redaction/masking of sensitive data at ingestion and query. AWS documentation states it can "detect and protect sensitive data in logs" using data identifiers, and that authorized users can "use the unmask action to view the original data." Creating a data protection policy on the log group masks PII by default for all viewers, satisfying the requirement to redact personal information. Granting only the security team permission to invoke the unmask API operation ensures that unredacted content is restricted. Option B (KMS) encrypts at rest but does not redact fields; encryption alone does not prevent plaintext visibility to authorized readers. Options A and D add complexity and latency, move data out of CloudWatch, and do not provide default inline redaction/unmask controls in CloudWatch itself. Therefore, the CloudOps-aligned, managed solution is to use CloudWatch Logs data protection with appropriate data identifiers and unmask permissions limited to the security team.

NEW QUESTION # 74
A SysOps administrator is configuring an Auto Scaling group of Amazon EC2 instances for an application.
The average CPU utilization of the instances in the Auto Scaling group must remain at approximately 40% when the load on the application changes.
Which solution will meet this requirement in the MOST operationally efficient manner?

A. Configure a target tracking scaling policy. Specify a target value of 40 for average CPU utilization.
B. Configure a simple scaling policy. Create an Amazon CloudWatch alarm that enters ALARM state when CPU utilization is greater than 40%. Associate the alarm with the scaling policy.
C. Create a scheduled scaling action. Configure the action to run at times when the application typically experiences an increase in traffic.
D. Configure a step scaling policy. Create an Amazon CloudWatch alarm that enters ALARM state when CPU utilization is greater than 40%. Associate the alarm with the scaling policy.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is D because target tracking scaling policies are designed to automatically maintain a specific metric at a desired target value with the least administrative effort. AWS CloudOps documentation states that target tracking works like a thermostat, continuously adjusting capacity to keep the selected metric close to the defined target.
By specifying a target value of 40% average CPU utilization, the Auto Scaling group automatically scales out or in based on real-time demand without requiring manual thresholds, multiple alarms, or predefined scaling steps. This approach is fully managed by AWS and is the most operationally efficient option.
Option A is incorrect because scheduled scaling is based on predictable traffic patterns and cannot respond dynamically to real-time load changes. Option B is incorrect because simple scaling reacts only after an alarm is triggered and does not continuously maintain a target value. Option C is less efficient because step scaling requires additional configuration and tuning of scaling steps.
AWS CloudOps best practices clearly recommend target tracking scaling policies for maintaining steady performance metrics with minimal operational overhead.
References:
Amazon EC2 Auto Scaling User Guide - Target Tracking Policies
AWS SysOps Administrator Study Guide - Auto Scaling and Automation
AWS Well-Architected Framework - Operational Excellence and Performance Efficiency

NEW QUESTION # 75
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