CV0-004 Exam Dumps : CompTIA Cloud+ (V4)

To guarantee that backups can be restored with no data loss, the administrator should test for data integrity. This ensures that the data has not been altered during the backup process and that it can be restored to its original state.

Backup integrity is a critical aspect of data management and protection, which falls under the best practices for backups and restoration in the CompTIA Cloud+ curriculum.

Remote replication for failover is the data protection strategy that should be used to back up on-premises data to the cloud for an earthquake-prone location. It provides real-time or near-real-time copying of data to a remote location, which can be quickly activated in case the primary site fails.

Disaster recovery strategies, including remote replication for failover, are part of the cloud-based data protection methods covered in the CompTIA Cloud+ certification.

When an organization can predict demand spikes (such as seasonal sales), the most cost-effective approach is to use scheduled scaling—a scaling configuration tied to a known timeline. In the CompTIA Cloud+ (CV0-004) objectives covering elasticity, scaling strategies, and cost optimization, scheduled scaling allows the business to increase capacity shortly before the surge begins and reduce it immediately after the event ends. This minimizes cost by ensuring resources run only for the required window, while still maintaining performance and availability during peak traffic.

Option A (least-connections) improves how traffic is distributed but does not add capacity; it cannot prevent resource exhaustion if the backend pool is undersized. Option C (reconfiguring to have more resources—vertical scaling) can help performance but often increases cost continuously and may introduce downtime or scaling limits. Option D (deploying additional compute in advance) can meet the requirement, but it may waste money if instances remain overprovisioned longer than necessary. Therefore, enabling a scheduled scaling configuration for the identified timeline best meets the need at minimal cost.