CCSP Cloud Concepts, Architecture, and Design Practice Question
When evaluating a cloud service provider's SLA, which TWO metrics are MOST relevant for assessing availability and reliability?
⚠ Common exam trap
CCSP often tests the distinction between availability and reliability metrics; candidates may confuse performance metrics (latency, throughput) with availability/reliability, or overlook RTO/RPO as key reliability indicators.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Uptime percentage (e.g., 99.99%)
Uptime is the primary SLA metric that quantifies availability, directly expressing the percentage of time the service is operational and typically tied to service credits when the committed threshold is missed. Option E (Recovery Time Objective (RTO) and Recovery Point Objective (RPO)) is correct because these metrics define reliability in terms of how quickly service is restored after an outage (RTO) and how much data loss is tolerable (RPO), which are core to assessing a provider's resilience and disaster recovery commitments. Option B (Support ticket response time) relates to support quality and incident handling, not directly to availability or reliability guarantees. Option C (Maximum throughput per instance) is a performance/capacity metric rather than an availability or reliability measure. Option D (Average latency for API calls) is a performance metric that affects responsiveness but does not by itself indicate availability or reliability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Uptime percentage (e.g., 99.99%)
Why this is correct
Uptime percentage quantifies the proportion of agreed service time the provider's service remains operational, directly measuring availability. It is the primary SLA metric for assessing whether the provider meets its committed reliability target over the contract period.
- ✗
Support ticket response time
Why it's wrong here
Support ticket response time measures service desk responsiveness, not service uptime or reliability. It is tempting because support is part of the SLA, but availability and reliability are assessed through uptime percentage, service credits and mean time between failures.
- ✗
Maximum throughput per instance
Why it's wrong here
Maximum throughput per instance measures capacity, not availability or reliability, so it cannot evidence uptime commitments or fault tolerance. It is tempting because throughput matters when sizing workloads against performance SLAs, and it would be the right metric when assessing a provider's compute or network performance guarantees rather than service availability.
- ✗
Average latency for API calls
Why it's wrong here
Average latency for API calls measures response speed, not service uptime or fault tolerance, so it cannot evidence availability or reliability commitments. It is tempting because latency is a genuine performance metric, and it would be the correct focus when assessing responsiveness or user experience under a performance SLA rather than availability guarantees.
- ✓
Recovery Time Objective (RTO) and Recovery Point Objective (RPO)
Why this is correct
RTO and RPO quantify recovery speed and tolerable data loss respectively, directly measuring availability and reliability commitments. They are the metrics that translate an SLA's uptime promise into enforceable recovery expectations, satisfying the stem's requirement for assessing both availability and reliability.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official ISC2 exam blueprint
This CCSP practice question is part of Courseiva's free ISC2 certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCSP exam.