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Managing Operations in a Cloud Solution EnvironmentmediumMultiple SelectObjective-mapped

PCSE Practice Question: Managing Operations in a Cloud Solution Environment

A security team wants to automatically detect anomalies in user behavior across Google Workspace and Google Cloud. Which TWO Security Command Center features can help?

⚠ Common exam trap

Candidates may mistakenly choose Compliance monitoring (Premium tier) because it can detect unusual patterns, but it is designed for compliance violations, not user behavior anomalies. Event Threat Detection is a better choice for detecting anomalous IAM activity and user behavior in Google Cloud, while Anomaly Detection covers both Workspace and Cloud.

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

Event Threat Detection

Event Threat Detection uses machine learning to identify anomalous IAM activity and suspicious behavior in Google Cloud, including patterns that may indicate compromised accounts or malicious activity. Anomaly Detection (Standard tier) uses machine learning to detect anomalies in user and resource activity across both Google Workspace and Google Cloud. Together, they provide coverage for detecting anomalies in user behavior across the organization.

Answer analysis

Option-by-option breakdown

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

  • Event Threat Detection

    Why this is correct

    Event Threat Detection detects anomalous IAM activity and suspicious behavior in Google Cloud, making it suitable for identifying anomalies in user behavior.

  • VM Threat Detection

    Why it's wrong here

    VM Threat Detection focuses on threats within virtual machines, not user behavior across Workspace and Cloud.

  • Compliance monitoring (Premium tier)

    Why it's wrong here

    Compliance monitoring (Premium tier) detects compliance violations and drift from compliance baselines, not anomalies in user behavior.

  • Anomaly Detection (Standard tier)

    Why this is correct

    Anomaly Detection (Standard tier) uses machine learning to detect anomalies in user and resource activity across both Google Workspace and Google Cloud.

  • Security Health Analytics

    Why it's wrong here

    Security Health Analytics identifies misconfigurations and vulnerabilities, not anomalies in user behavior.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This PCSE 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 PCSE exam.