Match each Google Cloud storage option to its best use case.
Drag a concept onto its matching description — or click a concept then click the description.
Unstructured object storage for any type of data
NoSQL wide-column database for low-latency, high-throughput
Serverless data warehouse for analytics at scale
Relational database for OLTP workloads
NoSQL document database for mobile/web apps
⚠ Common exam trap
Trap: You might think Bigtable can handle relational data because it supports structured data, but it lacks joins and transactions. Similarly, BigQuery is often mistaken for an OLTP database, but it's designed for analytics on large datasets.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Cloud Storage: Storing unstructured data like images, videos, and documents
Correct matches: A (Cloud Storage for unstructured data), C (Bigtable for low-latency analytical workloads), E (BigQuery for serverless data warehousing). Incorrect options: B (Cloud Storage lacks transactional consistency for structured data), D (Bigtable is NoSQL, not relational), F (BigQuery is for analytical queries, not real-time transaction processing).
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Cloud Storage: Storing unstructured data like images, videos, and documents
Why this is correct
Cloud Storage is a scalable object store for unstructured data.
Cloud Storage: Storing structured transactional data with strong consistency
Why it's wrong here
Incorrect — this describes Cloud Spanner or Firestore, not Cloud Storage.
Bigtable: Low-latency, high-throughput analytical workloads on structured data
Why this is correct
Bigtable is a NoSQL database optimized for large-scale analytical and operational workloads.
Bigtable: Storing relational data with complex joins and transactions
Why it's wrong here
Incorrect — Bigtable does not support SQL joins or complex transactions; this describes Cloud SQL or Spanner.
BigQuery: Serverless data warehouse for running fast SQL queries on petabyte-scale data
Why this is correct
BigQuery is a fully managed, serverless data warehouse for analytics.
BigQuery: Real-time transaction processing for small, frequently updated datasets
Why it's wrong here
Incorrect — BigQuery is designed for analytics, not OLTP; this describes Cloud SQL or Firestore.
Quick reference
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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About these practice questions
One of 775 original PMLE practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PMLE 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 PMLE exam.