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September 30, 2026 12 min read

Built to Survive: High Availability, Backups, and Power, the Half of Security+ Domain 3 Nobody Studies

Chris Rees

Chris Rees

25+ years in IT · Pluralsight author, 4.6/5 across 2,000+ ratings

Built to Survive: High Availability, Backups, and Power, the Half of Security+ Domain 3 Nobody Studies
Skillthropicwww.skillthropic.com

Confidentiality gets the headlines and integrity gets the cryptography, but the outage is what gets the CEO's attention. Objective 3.4 of Security+ is the availability objective, and it is the one candidates skim because it feels like operations rather than security. The exam disagrees. Resilience questions are built from a small set of design choices and a smaller set of numbers, and once you can see the trade-off in each one, they are among the most predictable on the test.

Availability is a design property

You cannot patch your way to availability. It comes from deciding, in advance, what happens when a component fails, and the outline organizes those decisions into a handful of themes: redundancy, site and platform diversity, backups, power, capacity, and testing. Each theme is a trade between cost and how long the business is down.

The two numbers that frame every decision are borrowed from continuity planning: the recovery time objective, how quickly service must be back, and the recovery point objective, how much data you can afford to lose. Every control in this objective is a way of buying a shorter one of those.

Redundancy: no single point of failure

Two high availability patterns side by side: active-active where a load balancer spreads traffic across two live nodes and both carry load, and active-passive where one node carries traffic and a standby waits to take over on failure ACTIVE-ACTIVE VERSUS ACTIVE-PASSIVE Active-active load balancer node A: live 50% of traffic node B: live 50% of traffic both work; lose one and the other absorbs the load higher capacity, higher cost, each node must handle 100% Active-passive load balancer node A: live 100% of traffic node B: standby idle until failover one works; failover takes seconds to minutes simpler, cheaper, capacity of the standby is wasted The load balancer is itself a single point of failure, so it is deployed as a pair. Redundancy is recursive.
Active-active gives capacity and instant tolerance; active-passive gives simplicity and a brief failover. The exam asks which fits a stated RTO and budget.

High availability starts with the question "what happens if this fails?" asked about every component. Load balancing spreads requests across several servers and stops sending to one that fails. Clustering goes further: nodes share state, so a failed node's work continues rather than restarts. The distinction the exam draws is that a load balancer distributes independent requests, while a cluster presents several nodes as one system.

Active-active versus active-passive is the pattern to know cold. Active-active runs everything live and shares the load, which gives you capacity as well as tolerance, at the cost of every node needing to handle the full load alone if the other fails. Active-passive keeps a standby idle, which is cheaper and simpler but wastes the standby's capacity and introduces a failover delay. A stem that says the service cannot tolerate even a brief interruption wants active-active. One that emphasizes cost wants active-passive.

Redundancy also applies at the network layer (dual links, dual switches, dual providers), and the exam likes multipath and NIC teaming as the terms for a server that survives the loss of one cable.

Site and platform diversity

Two identical systems in one building share a flood. The outline lists geographic dispersion as the answer: sites far enough apart not to share a disaster, connected well enough to fail over between. The hot, warm and cold site vocabulary lives here too, and the trade is the same as everything else in this objective: a hot site costs the most and recovers fastest.

Two subtler ideas carry marks. Platform diversity means not running everything on one vendor's operating system, hypervisor or hardware, so a single vulnerability or a single bad update cannot take down the whole estate. Multi-cloud is the same idea applied to providers. And continuity of operations (COOP) is the plan for keeping the business functioning, including the manual workarounds, while the technology is recovered. A COOP question is about the business, not the servers.

Backups: the full, incremental, differential trade

This is the most reliably tested part of the objective, and it is entirely a trade between how much you store each day and how many steps a restore takes.

A chart comparing three backup strategies over a week: full backups store everything each day and restore in one step, differential backups grow each day since the last full and restore in two steps, incremental backups store only the day's changes and restore by replaying every set since the full STORAGE PER DAY, AND STEPS TO RESTORE ON DAY 5 Full everything, every day restore: 1 set Differential changes since the last full restore: 2 sets Incremental changes since the last backup restore: 5 sets Mon (full) Tue Wed Thu Fri Bar height is data written that day. Fewer sets to restore means a faster recovery; smaller daily sets mean cheaper storage. You cannot have both, which is why the question always gives you a constraint.
Differential grows through the week and restores from two sets. Incremental stays small and restores from every set since the full. The exam gives you a priority and asks which strategy serves it.
Strategy Backs up Daily storage Restore needs Choose when
Full everything largest the latest full only restore speed matters more than anything
Differential changes since the last full grows each day last full plus latest differential a balance of both
Incremental changes since the last backup of any kind smallest last full plus every incremental since storage and backup window are the constraint

The stem tells you which to pick by naming the constraint. "The backup window is too short" or "storage costs are the concern" wants incremental. "Restores must be as fast as possible" wants full or differential. And a question that describes a restore failing because one of the sets in the chain was corrupted is describing the specific weakness of incremental backups: every link has to be good.

Beyond the big three, the outline lists snapshots (a point-in-time image of a volume or virtual machine, fast to take and fast to revert, but stored alongside the thing they protect), replication (a continuous copy to another system, which gives a near-zero RPO but faithfully replicates a deletion or an encryption), and journaling (a log of every change, which allows recovery to any point rather than to the last backup). The exam's favorite trap is replication offered as a backup: it is not, because whatever destroys the primary reaches the replica seconds later. And every copy needs encryption, because a backup is the most concentrated copy of your data that exists.

Onsite versus offsite is the last dimension: onsite copies restore fastest and share the building's disasters, offsite copies survive the building and take longer to retrieve. The answer the exam likes is both, with frequency set by the RPO.

Power

Servers do not care about elegance; they care about electrons. An UPS carries the load for minutes: long enough to ride through a flicker or shut down cleanly. A generator carries it for as long as there is fuel, but takes seconds to start, which is exactly the gap the UPS exists to cover. The two are a sequence, not alternatives, and a question that offers a generator as the answer to a five-second power dip is testing whether you know that.

Dual power supplies in a server and dual feeds into the building extend the same "no single point of failure" logic to the utility. Everything above the power layer is irrelevant if the power layer fails.

Capacity planning: the question hiding in a story

The outline lists capacity planning under three headings: people, technology, and infrastructure. Candidates expect the infrastructure question (do we have enough disk, bandwidth and compute for growth?) and get caught by the people one. A stem describing a security team that cannot cover a second shift, or a single administrator who holds every credential, is a capacity planning problem: the organization does not have the human capacity to sustain the control. The answer is usually cross-training, documentation or an additional hire, not a new tool.

Traps the exam sets, and RAID is one of them

A few resilience facts are tested precisely because intuition gets them wrong.

RAID is not a backup. Redundant disks protect against a disk failing, and nothing else. A deleted file is deleted on every disk in the array at the same instant, and ransomware encrypts the mirror as happily as the original. RAID is a high availability control for storage; the backup is what protects the data. A question offering RAID as the answer to "how do we recover from an accidental deletion" is a trap.

A snapshot on the same storage as the data is not off-site protection. It is a fast undo. If the array fails, the snapshots fail with it.

Replication propagates mistakes at the speed of the link. It is the right answer for a near-zero RPO against hardware failure, and the wrong answer for protection against corruption, deletion or encryption, all of which it faithfully copies. The exam's phrasing is usually a question about which control would have protected against a specific event, and replication only protects against the loss of the primary system.

Geographic dispersion has to be far enough. Two data centers on the same floodplain are one data center for continuity purposes. The scenario will describe two sites that both went dark in the same regional event.

The generator needs fuel and a test. A generator that has never been load-tested is a hypothesis with a diesel tank. Regular testing under load is listed under the same objective for that reason.

Testing what you built

None of it counts until it has been exercised. The outline names tabletop exercises, failover tests, simulations and parallel processing, in roughly ascending order of risk and realism. The rule is the same one the continuity planners use: start with the least disruptive test, and never run a live failover without the approval of the people who will answer for the outage if it goes wrong.

Key takeaways

  • Availability is designed, not patched. Every control in 3.4 buys a shorter RTO or RPO at a price.
  • Active-active shares load and tolerates instantly; active-passive is cheaper with a failover gap. Load balancers distribute, clusters share state.
  • Full restores fastest, incremental stores least, differential sits between. The constraint in the stem picks the strategy; a broken incremental chain is the classic failure.
  • Replication is not a backup and snapshots live with the data they protect. Encrypt every copy and keep one offsite.
  • UPS covers seconds to minutes, generators cover hours, and they run in sequence. Capacity planning includes people, not just disks.

Resilience and recovery is objective 3.4 of Security+ Domain 3, Security Architecture, and it is the availability counterpart to the data protection methods and network design the same domain covers. Work all 26 Domain 3 topics with our Security+ Domain 3 study guide.

#SecurityPlus #SY0701 #Resilience #HighAvailability #Backups #DisasterRecovery #BusinessContinuity #LoadBalancing #CompTIA #CyberSecurity

Security+ Domain 3 · security architecture

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