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Read each scenario carefully and choose your answer before revealing the explanation. Then check why your choice was right or wrong. Repeat until the reasoning feels automatic.

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Fundamental Cloud Concepts practice questions

Practise Google Cloud Digital Leader Fundamental Cloud Concepts practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

Courseiva uses original exam-style practice questions designed for learning and revision. The goal is to understand the concepts, recognise exam patterns, and improve through explanations — not memorise copied exam dumps.

Reviewed byJohnson Ajibi· MSc IT Security

20 questionsDomain: Fundamental Cloud Concepts

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What the exam tests

What to know about Fundamental Cloud Concepts

Cloud concepts questions usually test the service model (IaaS/PaaS/SaaS) and deployment model (public/private/hybrid/community) appropriate for a given scenario.

IaaS, PaaS and SaaS responsibilities and examples.

Public, private, hybrid and community cloud deployment models.

On-premises vs cloud trade-offs: cost, control, scalability.

How cloud connectivity options (VPN, Direct Connect, ExpressRoute) work.

Watch out for

Common Fundamental Cloud Concepts exam traps

▸IaaS gives you infrastructure control; SaaS gives you only the application.
▸Hybrid cloud combines on-premises and public cloud — not two public clouds.
▸Cloud does not automatically mean cheaper or more secure.
▸Management responsibility shifts with each service model (IaaS → PaaS → SaaS).

Practice set

Fundamental Cloud Concepts questions

20 questions · select your answer, then reveal the explanation

Question 1mediummultiple choice

Read the full Fundamental Cloud Concepts explanation →

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

Trap 1: Cloud Spanner

Spanner is a globally distributed relational database optimised for ACID transactions, not single-digit ms time-series reads at millions of QPS.

Trap 2: BigQuery

BigQuery is an analytics data warehouse with query latency measured in seconds. It is not designed for millisecond lookups at IoT scale.

Trap 3: Firestore

Firestore is a document database suited for mobile/web apps with hierarchical data. It does not scale to millions of QPS for time-series workloads.

Study all Fundamental Cloud Concepts common traps →

A
Cloud Spanner
Why wrong: Spanner is a globally distributed relational database optimised for ACID transactions, not single-digit ms time-series reads at millions of QPS.
B
BigQuery
Why wrong: BigQuery is an analytics data warehouse with query latency measured in seconds. It is not designed for millisecond lookups at IoT scale.
C
Firestore
Why wrong: Firestore is a document database suited for mobile/web apps with hierarchical data. It does not scale to millions of QPS for time-series workloads.
D
Cloud Bigtable
Bigtable is the correct choice: wide-column NoSQL, designed for time-series and IoT workloads, single-digit ms latency, and scales to millions of QPS with additional nodes.

Fundamental Cloud Concepts practice questions

What to know about Fundamental Cloud Concepts

Common Fundamental Cloud Concepts exam traps

Fundamental Cloud Concepts questions

A company needs to store petabytes of time-series IoT sensor data and query it with single-digit millisecond latency at millions of reads per second. The data has a simple key-value structure with timestamps. Which Google Cloud database is MOST appropriate?

Which cloud computing characteristic is defined by the NIST as the ability for a consumer to provision computing capabilities automatically without requiring human interaction with each service provider?

A startup is deploying a containerised web application on Google Cloud. They want to minimise operational overhead and only pay for the resources consumed when requests are being processed. The application should automatically scale to zero when idle. Which compute service should they choose?

According to the shared responsibility model, which of the following is the customer responsible for?

A company wants to run a batch job that processes large files (up to 100 TB each) using a custom Linux executable. The job runs once a month and takes about 12 hours. They want to minimise cost. Which compute option should they choose?

An engineer needs to create a custom machine type on Compute Engine for a workload that requires exactly 6 vCPUs and 20 GB of memory. The engineer uses the gcloud command-line tool. Which command correctly creates the instance?

What is a key benefit of using a Platform as a Service (PaaS) offering like App Engine compared to Infrastructure as a Service (IaaS) like Compute Engine?

A company is building a real-time chat application that requires low-latency messaging across multiple regions. The application needs to store user profiles and chat history. Which TWO Google Cloud services should the company consider for storing this data?

Which TWO of the following are NIST-defined characteristics of cloud computing?

A company with a global user base wants to deploy a web application on Google Cloud that is highly available and resilient to zone failures. The application runs on Compute Engine and uses a stateful backend (e.g., a database). Which THREE design elements should they implement?

Which of the following is a key characteristic of cloud computing as defined by NIST that allows users to automatically provision computing resources without requiring human interaction with each service provider?

A startup wants to deploy a containerized web application without managing servers or clusters. They need automatic scaling, a managed runtime, and pay only for resources used. Which Google Cloud service should they choose?

A company needs to run a legacy application that requires full control over the operating system, including custom kernel modules. They want to minimize management overhead for the underlying hardware. Which cloud service model should they use?

An engineer is deploying a global application that requires low latency for users in North America, Europe, and Asia. They plan to use Compute Engine instances in multiple regions. Which Google Cloud resource is essential to distribute traffic and provide a single anycast IP address?

A company is migrating an on-premises Oracle database to Google Cloud. They want to minimize changes to the application code and need a fully managed, scalable relational database with built-in high availability. Which service is most appropriate?

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