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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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
  • 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 (Q225-Q230):

NEW QUESTION # 225
A CloudOps engineer wants to configure observability of specific metrics for a public website that runs on Amazon Elastic Kubernetes Service (Amazon EKS). The CloudOps engineer wants to observe latency, traffic, errors, and saturation metrics. The CloudOps engineer wants to define service level objectives (SLOs) and monitor service level indicators (SLIs). The CloudOps engineer also wants to correlate metrics, logs, and traces to support faster issue resolution.
Which solution will meet these requirements with the LEAST operational effort?

Answer: C

Explanation:
Amazon CloudWatch Application Signals is built for application observability and automatically provides the golden-signal style metrics such as latency, traffic, errors, and saturation for instrumented services. It also supports defining and tracking SLOs and SLIs, and integrates with CloudWatch telemetry so teams can correlate metrics, logs, and traces for faster troubleshooting.
Because it is managed and purpose-built for this use case, it requires the least operational effort compared with assembling multiple observability services manually.


NEW QUESTION # 226
A financial services company stores customer images in an Amazon S3 bucket in the us-east-1 Region. To comply with regulations, the company must ensure that all existing objects are replicated to an S3 bucket in a second AWS Region. If an object replication fails, the company must be able to retry replication for the object.
What solution will meet these requirements?

Answer: A

Explanation:
Per the AWS Cloud Operations and S3 Data Management documentation, Cross-Region Replication (CRR) automatically replicates new objects between S3 buckets across Regions. However, CRR alone does not retroactively replicate existing objects created before replication configuration. To include such objects, AWS introduced S3 Batch Replication.
S3 Batch Replication scans the source bucket and replicates all existing objects that were not copied previously. Additionally, it can retry failed replication tasks automatically, ensuring regulatory compliance for complete dataset replication.
S3 Replication Time Control (S3 RTC) guarantees predictable replication times for new objects only-it does not cover previously stored data. S3 Lifecycle rules (Option D) move or transition objects between storage classes or buckets, but not in a replication context.
Therefore, the correct solution is to use S3 Cross-Region Replication (CRR) combined with S3 Batch Replication to ensure all current and future data is synchronized across Regions with retry capability.
Reference: AWS Cloud Operations and S3 Guide - Section: Cross-Region Replication and Batch Replication for Existing Objects


NEW QUESTION # 227
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?

Answer: D

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 # 228
A company stores critical files in an Amazon S3 bucket in the us-east-1 AWS Region. To comply with disaster recovery requirements, all new objects in the bucket must automatically replicate to a bucket in the us-west-2 Region. Which solution will meet this requirement with the LEAST operational overhead?

Answer: B

Explanation:
Amazon S3 Cross-Region Replication is the managed feature for automatically replicating newly created objects from a source bucket in one Region to a destination bucket in another Region.
This is the correct disaster recovery pattern because replication is handled by S3 without custom code or scheduled copy jobs. Versioning is required for replication, and in a complete production configuration, versioning must be enabled on both the source and destination buckets. Option A is therefore the best answer, even though the wording mentions only source-bucket versioning.
CORS controls browser cross-origin access and has nothing to do with disaster recovery replication. Lambda and EventBridge can copy objects, but this creates more operational overhead and error handling. S3 Lifecycle policies transition or expire objects; they do not replicate new objects across Regions.


NEW QUESTION # 229
A company is migrating a legacy application to AWS. The company manually installs and configures the legacy application on Amazon EC2 instances across multiple Availability Zones.
The company sets up an Application Load Balancer (ALB) for the application. The company sets the target group routing algorithm to weighted random. The application requires session affinity.
After the company deploys the application, users report random application errors that were not present in the legacy version of the application. The target group health checks do not show any failures. The company must resolve the application errors.
Which solution will meet this requirement?

Answer: A

Explanation:
The application requires session affinity (sticky sessions). However, the weighted random routing algorithm for an ALB does not support sticky sessions, so clients are sent to different targets and the stateful legacy app returns random errors. By changing the target group to an algorithm that supports stickiness (such as least outstanding requests), you can then use sticky sessions so all requests in a session go to the same instance, resolving the errors.


NEW QUESTION # 230
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