Amazon SOA-C03 Exam Dumps

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.

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.

CloudWatch Logs Insights is purpose-built for interactive querying and analysis across log data that is stored in CloudWatch Logs. It supports selecting multiple log groups at once (including many Lambda log groups), filtering events to match error patterns, extracting fields, and aggregating results. The requirement is to produce a count of application errors grouped by type across all log groups, which aligns directly with Logs Insights capabilities.

With Logs Insights, a CloudOps engineer can query all relevant Lambda log groups, parse or extract an ''error type'' field from structured JSON logs (or use pattern parsing for unstructured logs), and then aggregate using the stats command with count() grouped by the parsed error type field. This approach is fast to implement, requires no data pipeline, and scales well for large volumes because Logs Insights is optimized for CloudWatch Logs data. It also supports time-range selection so the security team can request daily or incident-window reporting.

Option B is incorrect because CloudWatch Logs ''search'' is a basic filtering feature and does not provide the same structured aggregation and grouping features as Logs Insights for large-scale, cross-log-group analytics. Option C (Athena) would require exporting logs to Amazon S3 (for example, via subscription filters, Kinesis Data Firehose, or scheduled exports) and maintaining a schema and partitions, which adds operational overhead not required here. Option D is not applicable because CloudWatch log data is not queried through Amazon RDS, and using an RDS database for log analytics would introduce significant ingestion and operational complexity.

Therefore, running a CloudWatch Logs Insights query using stats and count() to group errors by type across all Lambda log groups is the correct solution.

The least-effort, most scalable approach to ensure consistent software installation and ongoing updates across tagged Windows instances is to use AWS Systems Manager's native software distribution and desired-state capabilities. Systems Manager Distributor lets you package third-party software as an ''SSM package,'' version it, and publish updates in a controlled way. This directly supports the requirement to install a third-party agent and deploy periodic updates when new versions are available.

State Manager Associations let you enforce configuration continuously or on a schedule across a fleet, targeting instances by tags (which the scenario explicitly says are in place). By creating an association that runs AWS-ConfigureAWSPackage, you instruct Systems Manager to install (and optionally update) a specific SSM package on all instances that match the Windows tag criteria. This provides ongoing compliance: newly launched instances that receive the tag will automatically get the agent installed, and existing instances will receive updates according to the association's frequency and the package version strategy.

Option C (custom Lambda that logs in) is high operational overhead and poor practice (credentials, connectivity, error handling, scaling, and security concerns). Option D (RunRemoteScript) can work but is more brittle than ConfigureAWSPackage because it shifts lifecycle management (versioning, state, idempotency) into scripts. Option B (OpsItem + Inventory) is not an enforcement mechanism for installation/updating; it's for operations tracking and visibility.

Therefore, Distributor (A) + State Manager association using AWS-ConfigureAWSPackage targeted by tags (E) is the cleanest and lowest-ops solution.

Layer 7 (application-layer) HTTP status codes such as 200, 404, and 500 are generated by web-facing services that process HTTP requests. In this architecture, both CloudFront and the Application Load Balancer (ALB) operate at Layer 7 and record HTTP response information in their access logs.

ALB access logs include detailed request and response data such as client IP address, request path, target response status code, and latency. These logs are essential for analyzing how backend EC2 instances respond to client requests.

CloudFront access logs record viewer requests and responses at the edge locations. These logs also include HTTP status codes returned to the client, making them critical for understanding end-user experience and edge-level behavior.

VPC Flow Logs capture network-level (Layer 3 and 4) traffic metadata such as source IP, destination IP, ports, and protocol. They do not contain HTTP status codes. AWS CloudTrail logs API calls to AWS services and does not capture application response codes. RDS logs contain database-related information, not HTTP responses.

Therefore, the correct sources for HTTP Layer 7 status codes are ALB access logs and CloudFront access logs.