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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
  • 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 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
  • 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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q104-Q109):

NEW QUESTION # 104
A company is migrating a legacy application to AWS. The application runs on EC2 instances across multiple Availability Zones behind an Application Load Balancer (ALB). The target group routing algorithm is set to weighted random, and the application requires session affinity (sticky sessions).
After deployment, users report random application errors that were not present before migration, even though target health checks are passing.
Which solution will meet this requirement?

Answer: D

Explanation:
According to the AWS Cloud Operations and Elastic Load Balancing documentation, Application Load Balancer (ALB) supports multiple routing algorithms to distribute requests among targets:
Round robin (default)
Least outstanding requests (LOR)
Weighted random
When applications require session affinity, AWS recommends using "least outstanding requests" as the load balancing algorithm because it reduces latency, distributes load evenly, and ensures consistent target responsiveness during high traffic.
Using weighted random routing with sticky sessions can cause sessions to be routed inconsistently if one target's capacity fluctuates, leading to session mismatches and application errors - especially when user sessions rely on instance-specific state.
Disabling cross-zone balancing (Option C) or adjusting deregistration delay (Option D) does not address routing inconsistency. Anomaly mitigation (Option B) protects against target performance degradation, not sticky-session misrouting.
Therefore, the correct solution is Option A - changing the target group's routing algorithm to least outstanding requests ensures smoother, predictable session handling and resolves random application errors.


NEW QUESTION # 105
A CloudOps engineer wants to share a copy of a production database with a migration account.
The production database is hosted on an Amazon RDS DB instance and is encrypted at rest with an AWS Key Management Service (AWS KMS) key that has an alias of production-rds-key.
What must the CloudOps engineer do to meet these requirements with the LEAST administrative overhead?

Answer: D

Explanation:
Encrypted RDS snapshots can be shared across accounts only if the KMS key that encrypts them allows the target account to use the key. The CloudOps engineer should (1) take a snapshot of the encrypted RDS instance, (2) update the production-rds-key KMS key policy to grant the migration account access, and then (3) share the snapshot with the migration account. This is the simplest, fully managed approach with the least administrative overhead.


NEW QUESTION # 106
A company is migrating a legacy application to AWS. The application runs on EC2 instances across multiple Availability Zones behind an Application Load Balancer (ALB). The target group routing algorithm is set to weighted random, and the application requires session affinity (sticky sessions).
After deployment, users report random application errors that were not present before migration, even though target health checks are passing.
Which solution will meet this requirement?

Answer: D

Explanation:
According to the AWS Cloud Operations and Elastic Load Balancing documentation, Application Load Balancer (ALB) supports multiple routing algorithms to distribute requests among targets:
* Round robin (default)
* Least outstanding requests (LOR)
* Weighted random
When applications require session affinity, AWS recommends using "least outstanding requests" as the load balancing algorithm because it reduces latency, distributes load evenly, and ensures consistent target responsiveness during high traffic.
Using weighted random routing with sticky sessions can cause sessions to be routed inconsistently if one target's capacity fluctuates, leading to session mismatches and application errors - especially when user sessions rely on instance-specific state.
Disabling cross-zone balancing (Option C) or adjusting deregistration delay (Option D) does not address routing inconsistency. Anomaly mitigation (Option B) protects against target performance degradation, not sticky-session misrouting.
Therefore, the correct solution is Option A - changing the target group's routing algorithm to least outstanding requests ensures smoother, predictable session handling and resolves random application errors.
Reference: AWS Cloud Operations & Load Balancing Guide - Optimizing Application Load Balancer Routing Algorithms for Stateful Applications


NEW QUESTION # 107
A company is storing backups in an Amazon S3 bucket. The backups must not be deleted for at least 3 months after the backups are created.
What should a CloudOps engineer do to meet this requirement?

Answer: B

Explanation:
Comprehensive Explanation (250-350 words):
Amazon S3 Object Lock in compliance mode provides immutable storage that prevents objects from being deleted or overwritten for a defined retention period. In compliance mode, even the root user cannot remove the retention or delete the object before the retention period expires. This makes it suitable for regulatory and strict data-protection requirements.
Because Object Lock must be enabled at bucket creation time, a new bucket is required. Setting a retention period of 3 months ensures that backups cannot be deleted before that time under any circumstances.
Option D (governance mode) allows privileged users to bypass retention, which violates the strict "must not be deleted" requirement. Option A relies on IAM policy changes, which are reversible and error-prone.
Option C does not prevent deletion; versioning only retains previous versions if objects are deleted, but users can still delete versions unless additional controls are applied.
Therefore, S3 Object Lock in compliance mode is the correct and most secure solution.


NEW QUESTION # 108
A company runs an application on Amazon EC2 that connects to an Amazon Aurora PostgreSQL database. A developer accidentally drops a table from the database, causing application errors.
Two hours later, a CloudOps engineer needs to recover the data and make the application functional again.
Which solution will meet this requirement?

Answer: D

Explanation:
In the AWS Cloud Operations and Aurora documentation, when data loss occurs due to human error such as dropped tables, Point-in-Time Recovery (PITR) is the recommended method for restoration. PITR creates a new Aurora cluster restored to a specific time before the failure.
The restored cluster has a new endpoint that must be reconfigured in the application to resume normal operations. AWS does not support performing PITR directly on an existing production database because that would overwrite current data.
Aurora Backtrack (Option A) applies only to Aurora MySQL, not PostgreSQL. Option B is incorrect because PITR cannot be executed in place. Option D refers to an import process from S3, which is unrelated to time-based recovery.
Hence, Option C is correct and follows the AWS CloudOps standard recovery pattern for PostgreSQL workloads.


NEW QUESTION # 109
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