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Google Security-Operations-Engineer Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Management: This section of the exam measures the skills of Security Analysts and focuses on effective data ingestion, log management, and context enrichment for threat detection and response. It evaluates candidates on setting up ingestion pipelines, configuring parsers, managing data normalization, and handling costs associated with large-scale logging. Additionally, candidates demonstrate their ability to establish baselines for user, asset, and entity behavior by correlating event data and integrating relevant threat intelligence for more accurate monitoring.
Topic 2
  • 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 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.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
Your company wants to enhance its detection capabilities to prevent insider threat incidents. You need to be alerted when a privileged Google Group is modified to allow access to the general public. You need to identify and enable the optimal log source, and configure the alert. What should you do?

Answer: B

Explanation:
To detect insider threats involving Google Group privilege modifications, you need Google Workspace Admin Audit logs, which capture group membership and sharing changes. By enabling data sharing of these logs with SCC and ensuring Event Threat Detection (ETD) is enabled, SCC will automatically generate findings for risky modifications, such as making a privileged group publicly accessible. This provides the optimal log source and automated alerting with minimal effort.


NEW QUESTION # 68
You received an IOC from your threat intelligence feed that is identified as a suspicious domain used for command and control (C2). You want to use Google Security Operations (SecOps) to investigate whether this domain appeared in your environment. You want to search for this IOC using the most efficient approach.
What should you do?

Answer: A

Explanation:
The most efficient and reliable method to proactively search for a specific indicator (like a domain) in Google Security Operations is to perform a Universal Data Model (UDM) search. All ingested telemetry, including DNS logs and proxy logs, is parsed and normalized into the UDM. This allows an analyst to run a single, high- performance query against a specific, indexed field.
To search for a domain, an analyst would query a field such as network.dns.question.name or network.http.
hostname. Option B correctly identifies this as querying the "DNS section of the network noun." This approach is vastly superior to a raw log search (Option C), which is slow, inefficient, and does not leverage the normalized UDM data.
Option D (IOC Search/Matches) is a passive feature that shows automatic matches between your logs and Google's integrated threat intelligence. While it's a good place to check, a UDM search is the active, analyst- driven process for hunting for a new IoC that may have come from an external feed. Option A is a UI feature for grouping search results and is not the search method itself.
(Reference: Google Cloud documentation, "Google SecOps UDM Search overview"; "Universal Data Model noun list - Network")


NEW QUESTION # 69
You are receiving security alerts from multiple connectors in your Google Security Operations (SecOps) instance. You need to identify which IP address entities are internal to your network and label each entity with its specific network name. This network name will be used as the trigger for the playbook.

Answer: B

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The requirement is to identify internal entities and label them with a network name across alerts from
"multiple connectors." This is a global environment configuration task, not a per-playbook task.
In Google SecOps SOAR, you achieve this by configuring the Networks (or Environments) settings. The documentation states: "You can define your internal network ranges... When an entity is ingested, the system checks if the entity value falls within any of the defined ranges. If it does, the entity is marked as internal." Furthermore, you can assign a Network Name to these ranges. When an entity matches the range, it is automatically enriched with that network context. This allows you to set up Playbook Triggers based on the
"Network Name" field, satisfying the requirement. Option D (Enrichment step) is inefficient because it would require adding the step to every single playbook, whereas Option A solves it globally for the platform.
References: Google Security Operations Documentation > SOAR > Settings > Environments and Networks


NEW QUESTION # 70
Your Google Security Operations (SecOps) instance is generating a high volume of alerts related to an IP address that recently appeared in a threat intelligence feed. The IP address is flagged as a known command and control (C2) server by multiple vendors. The IP address appears in repeated DNS queries originating from a sandboxing system and test environment used by your malware analysis team. You want to avoid alert fatigue while preserving visibility in the event that the IOC reappears in real production telemetry. What should you do?

Answer: A

Explanation:
The correct approach is to add an exception in the detection rule that excludes matches from the sandboxing and test environment asset groups. This prevents alert fatigue by suppressing non- production noise, while still maintaining full visibility and alerting if the same IOC reappears in real production telemetry.


NEW QUESTION # 71
You are tasked with building a workflow in Google Security Operations (SecOps) SOAR. The documentation you are using requires a logical split that has eight different possible paths. You need to break the workflow into eight separate workflows using an automatic and efficient approach. What should you do?

Answer: B

Explanation:
The most efficient way is to use flow conditions in a single playbook. Since one flow condition supports up to five branches (four defined and one "Else"), you can cascade conditions by placing another flow condition on the "Else" branch. This allows you to logically split the workflow into eight distinct paths in an automated manner, without requiring multiple playbooks or manual analyst input.


NEW QUESTION # 72
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