AWS Certified Associate SOA-C03 Syllabus Exam Questions Answers

The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.

Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, “ERROR” or “FAILURE”). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.

This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda-based log streaming (Option C).

The reporting workload is read-heavy, and the database shows high Read IOPS even outside the report window, suggesting sustained read pressure from other workloads or inefficient read patterns. The requirement is to improve both performance and availability of the RDS for MySQL instance. An RDS read replica is designed specifically to offload read traffic from the primary database instance and to provide additional capacity for read-heavy use cases such as reporting, analytics queries, and dashboards.

By deploying one or more read replicas, the company can direct the reporting job to a replica (Option B). This reduces contention on the primary instance, lowers read I/O demand on the writer, and can improve overall query latency and throughput. In addition, read replicas can contribute to availability objectives: if the primary instance has issues, replicas can be promoted (manually or as part of certain DR patterns) to become a new standalone database, reducing recovery time for read availability and providing a practical resilience option.

Option A (ElastiCache) can help for highly cacheable and repetitive queries, but it requires application/query redesign and cache invalidation strategy, and it does not inherently improve database availability. Option C is not valid because CloudFront is a CDN for HTTP content and is not an appropriate layer for database queries. Option D (vertical scaling) can improve performance, but it does not offload reads and often involves higher cost; it also does not provide the same availability and read scaling benefits as replicas.

Therefore, adding an RDS read replica and pointing the reporting workload to the reader endpoint best meets the performance and availability requirements.

When a CloudFormation stack is deleted, CloudFormation’s default behavior is to delete the resources it created, including EC2 instances and attached resources defined in the template. The requirement is explicit: the company must keep the instances and all of the instances’ data even if someone deletes the stack. The CloudFormation mechanism intended for this outcome is the DeletionPolicy attribute, which controls what happens to a resource when the stack is deleted or when the resource is replaced during an update.

Setting DeletionPolicy: Retain on the EC2 instance resource instructs CloudFormation to preserve that resource instead of deleting it during stack deletion. With Retain, CloudFormation removes the resource from stack management but leaves the instance running (and therefore keeps the data that remains on the instance and its configured storage). This directly satisfies the requirement because the instance is not terminated as part of stack deletion.

Option A is incorrect for EC2 instances because Snapshot is applicable to certain resource types (commonly storage and database resources where snapshot semantics exist), not as a general “keep my instance” control for EC2 instance resources. Options B and C (DLM and AWS Backup) are valuable for backup and recovery strategies, but they do not prevent CloudFormation from terminating the instances when the stack is deleted. Backups could help restore later, but the requirement is to keep the original instances and their data even after deletion of the stack.

Therefore, the correct solution is to set DeletionPolicy to Retain for the EC2 instance resource in the CloudFormation template.

Amazon SQS does not support message prioritization within a single queue. To prioritize certain messages, AWS recommends using multiple queues and processing them in priority order.

By separating alarm notifications into one queue and information notifications into another, the application can poll and process the alarm queue first. This ensures that critical alarm messages are handled immediately, even during high load.

Scaling faster or using SNS fanout does not guarantee priority. DynamoDB streams are unrelated to SQS message ordering.

Therefore, separate queues provide a simple, scalable, and effective prioritization mechanism.