Cloud Digital Leader Fundamental Cloud Concepts Practice Question
A company wants to deploy a multi-tier web application on Google Cloud that requires high availability across zones. The application consists of a stateless web frontend and a stateful database backend. Which TWO actions should the company take to meet the high availability requirement? (Select two.)
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
✓
Use a regional managed instance group for the web frontend
To achieve high availability across zones, the frontend should be deployed in multiple zones behind a load balancer, and the database should be configured with replication across zones. Using a single large instance for the database creates a single point of failure. Regional managed instance groups distribute instances across zones.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Place all resources in the same zone to simplify management
Why it's wrong here
Placing all resources in a single zone may simplify management and reduce inter-zone communication latency, but it creates a single point of failure for the entire application stack. If that zone experiences an outage—due to power, cooling, or network issues—your frontend and database become unavailable simultaneously. Google Cloud's regional services are explicitly designed to survive zone failures, and a single-zone deployment forfeits that built-in availability benefit.
- ✓
Use a regional managed instance group for the web frontend
Why this is correct
A regional managed instance group (MIG) automatically distributes your frontend VM instances across multiple zones within a region, providing zone-level fault tolerance for the stateless web tier. It integrates with regional external load balancing to route traffic away from failed instances and can autoscale based on load. If an entire zone goes down, the MIG continues serving requests from healthy instances in other zones, ensuring high availability without manual intervention.
- ✓
Use a Cloud SQL for PostgreSQL instance with cross-zone replication
Why this is correct
A Cloud SQL for PostgreSQL instance configured with cross-zone high availability uses a synchronous standby replica in a different zone. This ensures that every transaction is committed to both the primary and standby before acknowledgment, providing zero data loss. If the primary instance or its zone fails, Cloud SQL automatically promotes the standby to primary, typically within a minute, minimizing downtime for the stateful database tier.
- ✗
Configure the database as a single large instance with automatic backups
Why it's wrong here
Automatic backups protect against data loss from accidental deletions or corruption, but they do not provide high availability. A single large database instance is a single point of failure; if it crashes or its zone fails, you cannot fail over automatically. Recovery requires restoring from a backup, which results in significant downtime and potential data loss up to the last backup or point-in-time recovery window, making it unsuitable for a production multi-tier application.
- ✗
Deploy the web frontend in a single zone to reduce network latency
Why it's wrong here
Deploying the web frontend in a single zone might slightly reduce network latency because requests do not traverse a zone boundary, but this gain is minimal—intra-region latency is typically single-digit milliseconds. However, doing so introduces a single point of failure: if that zone experiences an outage, the entire frontend becomes unreachable, even if the database and other tiers remain healthy. The availability risk and potential revenue loss far outweigh any negligible performance benefit.
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Cloud Digital Transformation
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
High availability
High availability is a system design approach that aims to keep applications and services operational and accessible with minimal downtime, even when some components fail.
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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.