Cloud Digital Leader Why cloud technology is transforming business Practice Question
A business wants to reduce the time to market for new features by enabling developers to provision infrastructure without waiting for IT. Which cloud attribute supports this?
⚠ Common exam trap
Google Cloud often tests the distinction between 'on-demand self-service' and 'broad network access' by presenting scenarios where remote access is confused with automated provisioning, leading candidates to incorrectly choose broad network access.
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
✓
On-demand self-service
On-demand self-service (Option D) is the correct answer because it allows developers to provision infrastructure automatically without requiring human interaction from IT. This cloud attribute, defined by NIST SP 800-145, enables users to unilaterally provision computing resources as needed, directly reducing time to market by eliminating manual approval and setup delays.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Disaster recovery
Why it's wrong here
Disaster recovery (DR) is a subset of business continuity planning that restores IT systems and data after a catastrophic failure, measured by RTO and RPO. It relies on strategies such as backups, snapshots, and multi-region replication, but it is a defensive capability designed to minimize downtime after an incident. The speed of provisioning new instances for feature development is unrelated to DR; reducing time to market requires agile supply of compute resources via self-service, not resilient recovery from outages.
- ✗
Broad network access
Why it's wrong here
Broad network access is one of the NIST cloud characteristics, meaning resources are accessible over the network via standard protocols and heterogeneous client platforms (e.g., mobile devices, laptops). This ensures that users can connect to services remotely, but it does not accelerate creation of new application environments or feature rollouts. While a fast, reliable network is a prerequisite for cloud operations, reducing time to market depends on the speed and ease of provisioning resources, not on the breadth of network connectivity.
- ✗
High availability
Why it's wrong here
High availability (HA) is achieved by architectural designs like redundant components, load balancing, and automatic failover to guarantee a certain level of uptime (commonly 'five 9s'). HA is about keeping existing workloads running continuously, not about rapidly spinning up new resources for product development. The ability to shorten release cycles comes from self-service provisioning and automation, not from the redundancy mechanisms that ensure service continuity. Confusing HA with operational agility is a common mistake, but they address different concerns.
- ✓
On-demand self-service
Why this is correct
On-demand self-service is a defining NIST cloud essential characteristic where a consumer can unilaterally provision computing capabilities—such as server time and network storage—automatically without requiring human interaction with the provider. In practice, this means developers can call APIs (e.g., EC2 RunInstances) to spin up environments in minutes, eliminating IT request queues and manual setup delays. This directly reduces time to market for new features by enabling continuous integration and delivery pipelines to create and destroy test environments instantaneously. Without self-service, feature teams would wait for days for infrastructure, undermining the business's agility goal.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud 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 GCDL exam.