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[General] Security-Operations-Engineer Latest Braindumps Files & Security-Operations-E

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【General】 Security-Operations-Engineer Latest Braindumps Files & Security-Operations-E

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Google Security-Operations-Engineer Exam Syllabus Topics:
TopicDetails
Topic 1
  • Monitoring and Reporting: This section of the exam measures the skills of Security Operations Center (SOC) Analysts and covers building dashboards, generating reports, and maintaining health monitoring systems. It focuses on identifying key performance indicators (KPIs), visualizing telemetry data, and configuring alerts using tools like Google SecOps, Cloud Monitoring, and Looker Studio. Candidates are assessed on their ability to centralize metrics, detect anomalies, and maintain continuous visibility of system health and operational performance.
Topic 2
  • Platform Operations: This section of the exam measures the skills of Cloud Security Engineers and covers the configuration and management of security platforms in enterprise environments. It focuses on integrating and optimizing tools such as Security Command Center (SCC), Google SecOps, GTI, and Cloud IDS to improve detection and response capabilities. Candidates are assessed on their ability to configure authentication, authorization, and API access, manage audit logs, and provision identities using Workforce Identity Federation to enhance access control and visibility across cloud systems.
Topic 3
  • Incident Response: This section of the exam measures the skills of Incident Response Managers and assesses expertise in containing, investigating, and resolving security incidents. It includes evidence collection, forensic analysis, collaboration across engineering teams, and isolation of affected systems. Candidates are evaluated on their ability to design and execute automated playbooks, prioritize response steps, integrate orchestration tools, and manage case lifecycles efficiently to streamline escalation and resolution processes.
Topic 4
  • Threat Hunting: This section of the exam measures the skills of Cyber Threat Hunters and emphasizes proactive identification of threats across cloud and hybrid environments. It tests the ability to create and execute advanced queries, analyze user and network behaviors, and develop hypotheses based on incident data and threat intelligence. Candidates are expected to leverage Google Cloud tools like BigQuery, Logs Explorer, and Google SecOps to discover indicators of compromise (IOCs) and collaborate with incident response teams to uncover hidden or ongoing attacks.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q132-Q137):NEW QUESTION # 132
A business unit in your organization plans to use Vertex AI to develop models within Google Cloud. The security team needs to implement detective and preventative guardrails to ensure that the environment meets internal security control requirements. How should you secure this environment?
  • A. Create a policy bundle representing the control requirements using Rego. Implement these policies using Workload Manager. Scope this scan to the business unit folder.
  • B. Create a posture consisting of predefined and custom organization policies and predefined and Security Health Analytics (SHA) custom modules. Scope this posture to the business unit folder.
  • C. Implement Assured Workloads by creating a folder for the business unit and assigning the relevant control package.
  • D. Implement preconfigured and custom organization policies to meet the control requirements.
    Apply these policies to the business unit folder.
Answer: B
Explanation:
The correct approach is to create a posture in SCC that combines predefined and custom organization policies with predefined and custom Security Health Analytics (SHA) modules, and then scope it to the business unit folder. This ensures both preventative guardrails (organization policies) and detective guardrails (SHA findings) are enforced for the Vertex AI environment, aligning with internal security control requirements.

NEW QUESTION # 133
Your company's SOC recently responded to a ransomware incident that began with the execution of a malicious document. EDR tools contained the initial infection. However, multiple privileged service accounts continued to exhibit anomalous behavior, including credential dumping and scheduled task creation. You need to design an automated playbook in Google Security Operations (SecOps) SOAR to minimize dwell time and accelerate containment for future similar attacks. Which action should you take in your Google SecOps SOAR playbook to support containment and escalation?
  • A. Add a YARA-L rule that sends an alert when a document is executed using a scripting engine such as wscript.exe.
  • B. Add an approval step that requires an analyst to validate the alert before executing a containment action.
  • C. Configure a step that revokes OAuth tokens and suspends sessions for high-privilege accounts based on entity risk.
  • D. Create an external API call to VirusTotal to submit hashes from forensic artifacts.
Answer: C
Explanation:
Comprehensive and Detailed Explanation
The correct answer is Option C. The incident description makes it clear that endpoint containment (by EDR) was insufficient, as the attacker successfully pivoted to privileged service accounts and began post- compromise activities (credential dumping, scheduled tasks).
The goal is to automate containment and minimize dwell time.
* Option A is an enrichment/investigation action, not a containment action.
* Option B is the opposite of automation; adding a manual approval step increases dwell time and response time.
* Option D is a detection engineering task (creating a YARA-L rule), not a SOAR playbook (response) action.
Option C is the only true automated containment action that directly addresses the new threat. The anomalous behavior of the privileged accounts would raise their Entity Risk Score within Google SecOps. A modern SOAR playbook can be configured to automatically trigger on this high-risk score and execute an identity- based containment action. Revoking tokens and suspending sessions for the compromised high-privilege accounts is the most effective way to immediately stop the attacker's lateral movement and malicious activity, thereby accelerating containment and minimizing dwell time.
Exact Extract from Google Security Operations Documents:
SOAR Playbooks and Automation: Google Security Operations (SecOps) SOAR enables the orchestration and automation of security responses. Playbooks are designed to execute a series of automated steps to respond to an alert.
Identity and Access Management Integrations: SOAR playbooks can integrate directly with Identity Providers (IdPs) like Google Workspace, Okta, and Microsoft Entra ID. A critical automated containment action for compromised accounts is to revoke active OAuth tokens, suspend user sessions, or disable the account entirely. This action immediately logs the attacker out of all active sessions and prevents them from re-authenticating.
Entity Risk: Detections and anomalous activities contribute to an entity's (e.g., a user or asset) risk score.
Playbooks can be configured to use this risk score as a trigger. For example, if a high-privilege account's risk score crosses a critical threshold, the playbook can automatically execute identity containment actions.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook Actions Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > (e.g., Okta, Google Workspace) Google Cloud Documentation: Google Security Operations > Documentation > Investigate > View entity risk scores

NEW QUESTION # 134
You are investigating an alert in Google Security Operations (SecOps). You want to view previous enrichment attributes and relevant historical cases for an entity using the fewest number of steps. What should you do?
  • A. Select View Details for the entity in the Entity Highlights widget.
  • B. Initiate a SOAR Search to query the entity.
  • C. Select the entity identifier in the Entity Highlights widget to open Entity Explorer.
  • D. Initiate a SIEM Search to query the entity.
Answer: C
Explanation:
The most efficient method is to select the entity identifier in the Entity Highlights widget to open Entity Explorer. Entity Explorer consolidates enrichment attributes, historical cases, and contextual relationships in one place, allowing you to quickly view past activity and investigations with minimal steps.

NEW QUESTION # 135
A workload is created and terminated within five minutes and later linked to cryptomining activity.
What MOST complicates the investigation?
  • A. Global IP addressing
  • B. Short-lived (ephemeral) resources
  • C. Encryption at rest
  • D. High availability architecture
Answer: B
Explanation:
Ephemeral resources reduce forensic evidence and make timeline reconstruction difficult.

NEW QUESTION # 136
You are responsible for monitoring the ingestion of critical Windows server logs to Google Security Operations (SecOps) by using the Bindplane agent. You want to receive an immediate notification when no logs have been ingested for over 30 minutes. You want to use the most efficient notification solution. What should you do?
  • A. Create a new YARA-L rule in Google SecOps SIEM to detect the absence of logs from the server within a 30-minute window.
  • B. Create a new alert policy in Cloud Monitoring that triggers a notification based on the absence of logs from the server's hostname.
  • C. Configure the Windows server to send an email notification if there is an error in the Bindplane process.
  • D. Configure a Bindplane agent to send a heartbeat signal to Google SecOps every 15 minutes, and create an alert if two heartbeats are missed.
Answer: B
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The most efficient and native solution is to use the Google Cloud operations suite. Google Security Operations (SecOps) automatically exports its own ingestion health metrics to Cloud Monitoring. These metrics provide detailed information about the logs being ingested, including log counts, parser errors, and event counts, and can be filtered by dimensions such as hostname.
To solve this, an engineer would navigate to Cloud Monitoring and create a new alert policy. This policy would be configured to monitor the chronicle.googleapis.com/ingestion/log_entry_count metric, filtering it for the specific hostname of the critical Windows server.
Crucially, Cloud Monitoring alerting policies have a built-in condition type for "metric absence." The engineer would configure this condition to trigger if no data points are received for the specified metric (logs from that server) for a duration of 30 minutes. When this condition is met, the policy will automatically send a notification to the desired channels (e.g., email, PagerDuty). This is the standard, out-of-the-box method for monitoring log pipeline health and requires no custom rules (Option B) or custom heartbeat configurations (Option C).
(Reference: Google Cloud documentation, "Google SecOps ingestion metrics and monitoring"; "Cloud Monitoring - Alerting on metric absence")

NEW QUESTION # 137
......
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