Question 255 of 507
Why cloud technology is transforming businesseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is that Google Cloud’s massive operational scale enables reliability guarantees—like multiple 9s SLAs, redundant infrastructure across regions, and automatic failover—that most organizations simply cannot replicate in their own data centers. This is the strongest counterargument because it shifts the trust debate from “someone else’s computers” to a professionally managed, audited environment where third-party certifications (SOC 2, ISO 27001) validate security and resilience. On the Google Cloud Digital Leader exam, this question tests your understanding of how cloud economics and scale directly translate into superior uptime and disaster recovery, often contrasting with the hidden costs and single points of failure in on-premises setups. A common trap is to assume cloud reliability is just a marketing claim; instead, remember that cloud providers invest in global redundancy that a single organization’s budget cannot match. Memory tip: “Scale equals SLA—bigger infrastructure, bigger guarantees.”

Cloud Digital Leader Why cloud technology is transforming business Practice Question

This GCDL practice question tests your understanding of why cloud technology is transforming business. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

An organization is considering cloud adoption. Their CTO argues that 'the cloud is just someone else's computers — why should we trust it?' Which is the strongest counterargument for cloud trust and reliability?

Question 1easymultiple choice
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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

Google Cloud operates at a scale enabling reliability (multiple 9s SLAs, redundant infrastructure, third-party audits) that most organizations cannot achieve with their own data centers.

Option B is correct because it directly addresses the CTO's concern by highlighting that major cloud providers like Google Cloud operate at a scale that enables reliability metrics (e.g., 99.99% uptime SLAs) and infrastructure redundancy (e.g., multi-region deployments, automatic failover) that most on-premises data centers cannot match. This is supported by third-party audits (e.g., SOC 2, ISO 27001) that validate security and operational practices, making the cloud not just 'someone else's computers' but a professionally managed, highly resilient environment.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Cloud providers can be fully trusted because governments require them to guarantee zero downtime.

    Why it's wrong here

    No government mandates zero downtime for cloud providers. SLAs define uptime commitments with financial remedies, not zero-downtime guarantees.

  • Google Cloud operates at a scale enabling reliability (multiple 9s SLAs, redundant infrastructure, third-party audits) that most organizations cannot achieve with their own data centers.

    Why this is correct

    Scale enables reliability: redundant hardware, global fiber, dedicated reliability engineers, and years of operational learning. Third-party audits (ISO 27001, SOC 2) provide independent verification.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Google employees are more trustworthy than the company's own IT staff.

    Why it's wrong here

    This is both unprovable and inflammatory. Cloud trust is built on contractual commitments, technical controls, audits, and demonstrated reliability — not subjective employee comparisons.

  • The CTO's concern is valid — companies should never move sensitive data to the cloud.

    Why it's wrong here

    This contradicts the evidence: regulated industries (banking, healthcare, government) successfully operate sensitive workloads in cloud with appropriate controls. The concern has answers.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may choose Option A because they overestimate government mandates or SLAs as guarantees of zero downtime, or Option D because they confuse valid caution with outright rejection, missing the nuanced argument that cloud providers offer superior reliability through scale and professional management.

Detailed technical explanation

How to think about this question

Under the hood, cloud providers achieve high reliability through distributed systems design, such as Google's Borg or Kubernetes for orchestration, which automatically reschedule workloads across healthy nodes. Real-world scenarios include Netflix's use of AWS with Chaos Engineering (e.g., Chaos Monkey) to proactively test resilience, demonstrating that cloud infrastructure can handle failures gracefully. Subtle behaviors include the use of multi-region replication with eventual consistency models (e.g., Google Cloud Spanner for strong consistency) to balance availability and data integrity.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.

What to study next

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this GCDL question test?

Why cloud technology is transforming business — This question tests Why cloud technology is transforming business — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Google Cloud operates at a scale enabling reliability (multiple 9s SLAs, redundant infrastructure, third-party audits) that most organizations cannot achieve with their own data centers. — Option B is correct because it directly addresses the CTO's concern by highlighting that major cloud providers like Google Cloud operate at a scale that enables reliability metrics (e.g., 99.99% uptime SLAs) and infrastructure redundancy (e.g., multi-region deployments, automatic failover) that most on-premises data centers cannot match. This is supported by third-party audits (e.g., SOC 2, ISO 27001) that validate security and operational practices, making the cloud not just 'someone else's computers' but a professionally managed, highly resilient environment.

What should I do if I get this GCDL question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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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.