D-DP-FN-01 Exam Dumps : Dell Data Protection Management Foundations v2 Exam

Security controls are classified by the point in the threat lifecycle at which they act. A swipe card system physically blocks entry to a restricted area unless the presenter holds valid, authorized credentials; the control acts before an unauthorized event occurs, stopping the access attempt outright, which is the defining characteristic of a preventive control. A deterrent control (A) works psychologically, discouraging an attempt through visible consequence or risk (a warning sign or visible camera housing) without physically stopping access, so it is a weaker classification for a badge-reader-controlled door than preventive. A detective control (D) identifies that an event has already happened, such as a log showing a failed badge swipe or an alarm triggered after entry, but does not itself stop the entry. A corrective control (C) acts after an incident to restore normal operations or limit damage, such as revoking a compromised badge or resetting a lock. Because the swipe card system's core function is to block unauthorized physical access before it happens, it is correctly categorized as a preventive control within the standard deterrent-preventive-detective-corrective framework used in data protection security management.

Reference topic: Securing the Data Protection Environment - Physical Security Controls.

Image-based backup captures a complete, consistent snapshot of an entire virtual machine, its operating system, configuration, installed applications, and data, as a single unit at the hypervisor level, typically without requiring an agent inside the guest OS. This makes it uniquely suited to restoring an entire VM quickly and reliably, since the whole machine state, not just individual files, is preserved and can be powered back on essentially as it existed at capture time, which is invaluable for full disaster recovery or bare-metal-style VM restoration. Restoring individual files (A) is technically possible from an image, usually via file-level recovery tools that mount the image, but it is not the use case the technology is uniquely optimized for; dedicated file-level backup handles that more efficiently. Backing up application data only (B) understates the scope of image-based backup, which captures the full machine rather than isolating application data alone, and is arguably better served by application-aware agent-based backup for granular, consistent application recovery. Incremental backups (C) describe a backup frequency and data-capture method that can be applied to image-based backups but is not itself the unique use case image-based backup solves. Full VM restoration is the defining strength.

Reference topic: Data Backup and Deduplication - Image-Based (Virtual Machine) Backup.

To distribute user requests effectively across multiple servers, each server participating in that distribution needs access to the same, current application data so that a request routed to any given server can be served correctly and consistently. Data replication accomplishes this by maintaining synchronized copies of the application data across the multiple servers, enabling each one to independently and correctly handle a share of the incoming request volume, which is the prerequisite that makes distributing requests across multiple servers viable in the first place. Implementing a circuit breaker pattern (B) is a resiliency technique that prevents an application from repeatedly calling a failing downstream dependency, protecting the system from cascading failures, but it does not itself distribute requests across servers or provide the underlying data availability needed for multiple servers to serve those requests. Storing all data on a single, high-capacity server (C) is the direct opposite of the stated goal, since a single data server becomes a bottleneck and single point of failure that undermines the benefit of distributing requests elsewhere. Archiving old user data (D) reduces active dataset size but does not create the multiple, synchronized data copies needed to support serving distributed requests. Data replication correctly enables this architecture.

Reference topic: Replication and Data Archiving - Replication in Support of Scaled, Distributed Applications.