Question 925 of 997
Google AI Ecosystem and StrategyhardMultiple SelectObjective-mapped

Generative AI Leader Google AI Ecosystem and Strategy Practice Question

This Generative AI Leader practice question tests your understanding of google ai ecosystem and strategy. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.

A company is deploying a GenAI application that must meet SOC 2 compliance. Which three Google Cloud offerings can be used in a compliant manner? (Choose three.)

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

Vertex AI

Vertex AI is correct because it operates on Google Cloud's infrastructure, which is SOC 2 compliant when configured properly. It provides managed ML services that can be deployed within a VPC-scoped environment, allowing customers to meet data residency, access control, and audit logging requirements mandated by SOC 2.

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.

  • Colab (consumer version)

    Why it's wrong here

    Consumer Colab is not enterprise compliant.

  • Google AI Studio (free tier)

    Why it's wrong here

    Google AI Studio is not SOC 2 compliant.

  • Vertex AI

    Why this is correct

    Vertex AI supports SOC 2 compliance.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Document AI

    Why this is correct

    Document AI can be used in SOC 2 environments.

    Related concept

    Read the scenario before looking for a memorised answer.

  • BigQuery ML

    Why this is correct

    BigQuery ML runs within BigQuery, which is SOC 2 compliant.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Cisco often tests the misconception that any free-tier or consumer-grade Google AI tool (like Colab or AI Studio) can be used for compliance, when in fact only enterprise-grade services within a properly configured Google Cloud environment meet SOC 2 requirements.

Detailed technical explanation

How to think about this question

SOC 2 compliance requires controls over security, availability, processing integrity, confidentiality, and privacy. On Google Cloud, services like Vertex AI, Document AI, and BigQuery ML can be integrated with VPC Service Controls, Cloud Audit Logs, and Customer-Managed Encryption Keys (CMEK) to enforce data boundaries and meet SOC 2 trust service criteria. For example, BigQuery ML uses BigQuery's IAM roles and column-level security, which are auditable via Cloud Audit Logs, satisfying the 'logical and physical access controls' requirement of SOC 2.

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

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

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

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FAQ

Questions learners often ask

What does this Generative AI Leader question test?

Google AI Ecosystem and Strategy — This question tests Google AI Ecosystem and Strategy — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Vertex AI — Vertex AI is correct because it operates on Google Cloud's infrastructure, which is SOC 2 compliant when configured properly. It provides managed ML services that can be deployed within a VPC-scoped environment, allowing customers to meet data residency, access control, and audit logging requirements mandated by SOC 2.

What should I do if I get this Generative AI Leader 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: Jul 4, 2026

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This Generative AI Leader 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 Generative AI Leader exam.