AZ-900 Describe cloud concepts Practice Question
What is the primary benefit of high availability in cloud computing?
⚠ Common exam trap
A common mix-up: candidates confuse high availability with other cloud concepts like cost optimization (A), auto-scaling (C), or content delivery (D), because all are related to reliability and performance, but only B directly addresses the core definition of minimizing downtime.
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
✓
Ensuring services remain operational with minimal downtime
High availability (HA) in cloud computing is designed to ensure that services and applications remain operational with minimal downtime, typically targeting a specific uptime percentage (e.g., 99.99% or 'four nines'). This is achieved through redundancy, failover mechanisms, and load balancing across multiple availability zones or regions, so that if one component fails, another takes over without significant interruption. The primary benefit is business continuity and service reliability, not cost reduction or performance scaling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Reducing the cost of compute resources
Why it's wrong here
High availability is fundamentally about ensuring continuous operation of workloads by mitigating the impact of component failures, routine maintenance, and planned update events. It does not address a service's financial efficiency; cost reduction is achieved through separate strategies such as resizing SKUs, using reserved capacity, or selecting lower-cost tiers. In fact, implementing strong high availability often increases cost because it requires redundant infrastructure and failover mechanisms, so conflating the two is technically incorrect.
- ✓
Ensuring services remain operational with minimal downtime
Why this is correct
High availability (HA) is the discipline of designing and running a service so that it meets a defined uptime service-level objective, typically by eliminating single points of failure and enabling rapid automatic failover during outages. The goal is to minimize both the frequency of unplanned downtime and the duration (recovery time) when it does occur, ensuring users experience near-continuous availability. In Azure, HA is realized through constructs like Availability Zones, load balancing, and health probes that route traffic away from failed instances.
- ✗
Automatically scaling resources during peak demand
Why it's wrong here
Automatically scaling resources during peak demand is what Azure calls elasticity or autoscaling, which adjusts compute capacity based on metrics such as CPU utilization or queue length. High availability, by contrast, concentrates on keeping an already-deployed set of resources operational despite failures, rather than changing the amount of capacity. While scaling out can indirectly support availability by absorbing traffic spikes, a service can scale perfectly yet still be unavailable if it is not architected with failover and redundancy.
- ✗
Distributing content to users geographically
Why it's wrong here
Distributing content to users geographically describes geo-distribution or content delivery, using Azure Traffic Manager, Front Door, or a CDN to route requests to the nearest or best-performing regional endpoint. These techniques primarily improve latency, throughput, and regional fault tolerance, but they are not the defining characteristic of high availability: a single-region service can be highly available through local redundancy, and a multi-region service can still be unavailable without proper failover. Geographic distribution is an optional enhancement to HA, not its core definition.
Go deeper
Related to this question
Learn chapter
What is Cloud Computing?
Key term
Availability
Availability is the measure of how often a system or service is operational and accessible when needed, typically expressed as a percentage of uptime.
Key term
Cloud computing
Cloud computing is the on-demand delivery of IT resources over the internet, allowing users to access computing power, storage, and applications without owning physical hardware.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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