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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	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 5	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q135-Q140):

NEW QUESTION # 135
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 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.
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 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.

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 # 136
A CloudOps engineer is troubleshooting an AWS CloudFormation template whereby multiple Amazon EC2 instances are being created. The template is working in us-east-1, but it is failing in us-west-2 with the error code:
AMI [ami-12345678] does not exist
How should the CloudOps engineer ensure that the AWS CloudFormation template is working in every Region?

A. Modify the AWS CloudFormation template by including the AMI IDs in the Mappings section.Refer to the proper mapping within the template for the proper AMI ID.
B. Edit the AWS CloudFormation template to offer a drop-down list of all AMIs to the user by using the AWS::EC2::AMI::ImageId control.
C. Copy the source Region's Amazon Machine Image (AMI) to the destination Region and assign it the same ID.
D. Edit the AWS CloudFormation template to specify the Region code as part of the fully qualified AMI ID.

Answer: A

Explanation:
AMI IDs are Region-specific. An AMI ID that exists in us-east-1 does not automatically exist in us- west-2, and even copied AMIs receive different AMI IDs in the destination Region. The correct CloudFormation pattern is to define Region-specific AMI IDs in the Mappings section and use Fn::FindInMap with AWS::Region to select the correct AMI for the deployment Region.

NEW QUESTION # 137
A company uses two production environments for deployments. A blue stack and a green stack are each behind a unique Application Load Balancer (ALB). The company wants to use DNS to send some traffic to green and gradually increase traffic over time. The company wants automatic tailback if green becomes unhealthy. Which DNS configuration will meet these requirements?

A. Use an Amazon Route 53 failover record. Set green as primary and blue as secondary. Set both to 50/50.
B. Create Amazon Route 53 weighted alias records that point to each ALB. Attach health checks.
Adjust the weights during deployment.
C. Use Amazon Route 53 latency-based alias records for both ALBs with health checks. Reduce TTL. Add a checker-latency dashboard. Rely on the policy to steer a small percentage of traffic to green during the ramp.
D. Point the apex at one ALB. Register blue and green as target groups. Use a listener rule with weighted targets for gradual shifts. Rely on target-group health to shift traffic.

Answer: B

Explanation:
Amazon Route 53 weighted alias records allow traffic to be distributed between the blue and green ALBs according to configurable weights. The weight assigned to the green environment can be increased gradually during deployment. Health evaluation ensures that traffic is not routed to an unhealthy endpoint, allowing traffic to fall back automatically to the healthy blue environment if the green environment becomes unhealthy.

NEW QUESTION # 138
A company runs a critical application by using Amazon DynamoDB. During a recent deployment, the application accidentally wrote incorrect data to a DynamoDB table. The table has point-in-time recovery (PITR) enabled with continuous backups. DynamoDB Streams is enabled on the table. The company's recovery point objective (RPO) is 2 minutes.
A CloudOps engineer must restore the table to its state from 2 minutes before the corruption occurred.
Which solution will meet these requirements?

A. Restore the most recent on-demand snapshot. Use DynamoDB Streams to replay all transactions since the snapshot was taken.
B. Create a new table by using PITR to restore the table from 2 minutes before the corruption occurred.
Update the application to reference the new table.
C. Use DynamoDB Streams to replay the table's change events in reverse order to undo the writing of the incorrect data.
D. Use PITR to restore the table to 2 minutes before the incorrect data was written. Update the existing table in place.

Answer: B

Explanation:
DynamoDB point-in-time recovery continuously backs up table data and can restore the table to a selected second within the recovery window. AWS documentation states that a PITR restore restores the data to a new table, not in place on the existing table. Therefore, the correct process is to restore the table to the timestamp two minutes before the corruption and then update the application to use the newly restored table. Option A is wrong because PITR does not update the existing table in place. Option C uses an on-demand snapshot, which might not meet the 2-minute RPO. Option D is unsafe because DynamoDB Streams are not a managed reverse-transaction rollback mechanism. PITR to a new table is the reliable recovery method.

NEW QUESTION # 139
A company is storing backups in an Amazon S3 bucket. These backups must not be deleted for at least 3 months after creation.
What should the CloudOps engineer do?

A. Enable S3 Object Lock on a new S3 bucket in compliance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
B. Enable S3 Versioning on the existing S3 bucket. Configure S3 Lifecycle rules to protect the backups.
C. Enable S3 Object Lock on a new S3 bucket in governance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
D. Configure an IAM policy that denies the s3:DeleteObject action for all users. Three months after an object is written, remove the policy.

Answer: A

Explanation:
Per the AWS Cloud Operations and Data Protection documentation, S3 Object Lock enforces write-once-read- many (WORM) protection on objects for a defined retention period.
There are two modes:
Compliance mode: Even the root user cannot delete or modify objects during the retention period.
Governance mode: Privileged users with special permissions can override lock settings.
For regulatory or audit requirements that prohibit deletion, Compliance mode is the correct choice. When configured with a 3-month retention period, all backup objects are protected from deletion until expiration, ensuring compliance with data retention mandates.
Versioning (Option C) alone does not prevent deletion. IAM-based restrictions (Option A) lack time-based enforcement and require manual intervention. Governance mode (Option D) is less strict and unsuitable for regulatory retention.
Thus, Option B is the correct CloudOps solution for immutable S3 backups.
Reference: AWS Cloud Operations & Storage Governance Guide - Implementing Retention with Amazon S3 Object Lock in Compliance Mode

NEW QUESTION # 140
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