The two correct answers are Enable storage Auto Scaling on the RDS for Oracle database to dynamically increase storage as needed and Modify the Auto Scaling group to use average CPU utilization as a dynamic scaling metric. Enabling RDS storage Auto Scaling ensures that the database will automatically increase its allocated storage as demand grows, preventing outages or performance degradation due to full disk capacity. Configuring the Auto Scaling group to use average CPU utilization as a metric allows the EC2 fleet to scale in and out in response to fluctuating traffic, which is critical in a scenario with unpredictable load growth.

The option Replace the Oracle database with Amazon Aurora to take advantage of Auroras auto-scaling capabilities is not viable in this case. Aurora does support auto-scaling storage, but since the application relies on Oracle-specific PL/SQL features, migrating to Aurora (which uses MySQL or PostgreSQL) would break application functionality unless extensive rework is done.

The suggestion to Configure an Amazon CloudWatch alarm on the RDS instance to monitor for low storage space is useful for visibility, but it is reactive. While it alerts administrators of low disk space, it doesnt automate the solution. Storage Auto Scaling is the appropriate preventive measure.

The choice Set up the Auto Scaling group to scale based on average memory usage instead of a fixed size is not ideal. Memory-based scaling is less common and less reliable for general EC2 Auto Scaling. CPU utilization is a more standard and indicative metric of load in most web applications, especially when running dynamic workloads.

This question is important because it assesses your ability to apply both compute and database scaling strategies appropriately, while considering operational continuity and application-specific constraints. A good tactic for answering questions like this is to first eliminate any options that require disruptive migrations or conflict with specific platform dependencies (like Oracle PL/SQL).

The complexity of this question lies in choosing between monitoring tools and actual automation. While alarms provide insight, they dont scale the system. Auto Scaling metrics and dynamic storage are proactive solutions that meet the questions requirement for automatic scaling.

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