Amazon SOA-C03 Exam Dumps

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

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:

AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes. Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles---declarative, repeatable, and reliable---and supports efficient lifecycle management of ephemeral development stacks.

References (AWS CloudOps Documents / Study Guide):

* AWS Certified CloudOps Engineer -- Associate (SOA-C03) Exam Guide -- Deployment, Provisioning and Automation

* AWS CloudFormation User Guide -- DeletionPolicy Attribute (Snapshot for RDS)

* AWS Well-Architected Framework -- Operational Excellence Pillar

The AWS Cloud Operations and Content Delivery documentation explains that Amazon CloudFront caches objects in edge locations for a defined time based on TTL settings or origin headers. When new content is deployed to the S3 origin, previously cached versions remain in edge caches until they expire.

To immediately serve the new version, CloudOps engineers must initiate a CloudFront invalidation, which removes cached objects from all edge locations. This forces CloudFront to fetch the latest version from the origin (S3).

Invalidations can target individual objects (e.g., /index.html) or wildcard paths (e.g., /*) and are the AWS-recommended approach for dynamic content refresh after static site updates.

Changing headers (Option A), enforcing HTTPS (Option B), or applying caching policies (Option C) do not directly refresh outdated cache content.

Thus, Option D --- issuing a CloudFront invalidation --- ensures users receive the latest website content immediately after deployment.

As described in the AWS Cloud Operations and EC2 Management documentation, changing an instance type (e.g., from T3 to C5) requires that the instance be stopped first. Once stopped, the engineer can modify the instance type through the AWS Management Console, CLI, or API, then start the instance again to apply changes.

This process preserves the root volume, networking configuration, and data, making it an operationally safe and efficient way to upgrade to a different instance family.

Changing the instance type while running (Option D) is unsupported. VM Import/Export (Option A) is for external VM migration. Hibernation (Option B) does not apply to type changes.

Thus, Option C is correct --- stopping the instance, changing its type, and restarting it meets AWS best practices.

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:

Amazon Aurora supports up to 15 Aurora Replicas that share the same storage volume and provide read scaling and improved availability. Official guidance states that replicas ''offload read traffic from the writer'' and that you should direct read-only workloads to the reader endpoint, reducing CPU pressure and connection counts on the primary. Aurora also supports Replica Auto Scaling through Application Auto Scaling policies using metrics such as CPU utilization or connections to add or remove replicas automatically. This design addresses both high CPU and maximum connections by moving reporting traffic to read replicas while keeping a single write primary for OLTP. Option B creates a separate cluster with independent storage, increasing operational overhead and data synchronization complexity. Options C and D introduce application-layer caching changes that may not guarantee data freshness or relieve the write node directly. Therefore, adding read replicas and routing reporting to the reader endpoint, with auto scaling based on load, is the least intrusive, CloudOps-aligned way to stabilize performance.

References (AWS CloudOps Documents / Study Guide):

* Amazon Aurora -- Replicas and Reader Endpoint (Aurora User Guide)

* Aurora Replica Auto Scaling (Aurora & Application Auto Scaling Guides)

* AWS Well-Architected Framework -- Reliability & Performance Efficiency