Google PCA Manage implementation of cloud architecture Practice Question
A startup wants to deploy a web application on Google Cloud with a MySQL database. They anticipate low traffic initially but want the ability to scale seamlessly. They also want to minimize operational overhead. Which combination of services should they choose?
⚠ Common exam trap
Google Cloud often tests the misconception that Kubernetes (GKE) is always the best choice for scalability, but the trap here is that for a low-traffic application with minimal operational overhead requirements, a fully managed platform like App Engine Standard Environment is more appropriate than the complex orchestration overhead of GKE.
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
✓
App Engine Standard Environment with Cloud SQL.
App Engine Standard Environment provides a fully managed, autoscaling platform for web applications, while Cloud SQL offers a managed MySQL database with automatic replication and backups. This combination minimizes operational overhead because Google handles infrastructure provisioning, patching, and scaling, and Cloud SQL integrates natively with App Engine via the Cloud SQL proxy or Unix socket, requiring no manual configuration for connectivity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Compute Engine with a self-managed MySQL instance.
Why it's wrong here
Compute Engine with a self-managed MySQL instance leaves patching, backups and scaling to the startup, directly violating the minimal operational overhead requirement. It is tempting because it offers full control over the database engine, and would be correct if the stem required custom MySQL configuration unavailable in managed services.
- ✗
Cloud Run with Cloud Spanner.
Why it's wrong here
Cloud Spanner is a horizontally scalable relational database that does not run MySQL, so it fails the MySQL requirement despite removing operational overhead. It is tempting because Spanner scales seamlessly, and would be correct if the stem specified a globally distributed relational database rather than MySQL.
- ✓
App Engine Standard Environment with Cloud SQL.
Why this is correct
App Engine Standard automatically scales instances with traffic and requires no server management, while Cloud SQL provides a managed MySQL database, together minimising operational overhead. This pairing satisfies the low-traffic start, seamless scaling, and reduced administration constraints.
- ✗
Google Kubernetes Engine (GKE) with Cloud SQL.
Why it's wrong here
GKE requires the team to manage cluster configuration, node pools and upgrades, contradicting the minimal operational overhead requirement. It is tempting because GKE scales workloads elastically and pairs with Cloud SQL, and would be correct if the stem demanded container orchestration with fine-grained control.
Go deeper
Related to this question
Learn chapter
Load Balancing and Autoscaling
Key term
App Engine
App Engine is a fully managed serverless platform from Google Cloud that lets developers build and deploy applications without worrying about the underlying infrastructure.
Key term
Proxy
A proxy is an intermediary server that sits between a client and a destination server, forwarding requests and responses while providing security, privacy, and control.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PCA 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 PCA exam.