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Google Security-Operations-Engineer Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 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.
Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q43-Q48):
NEW QUESTION # 43
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?
- A. Create a notification in Cloud Monitoring using a metric-absence condition based on sample policy for each collector_id.
- B. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
- C. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
- D. Create a Google SecOps dashboard that shows the ingestion metrics for each iog_cype and collector_id.
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option B. This question requires a low-latency (5 minutes) notification for a silent source.
The other options are incorrect for two main reasons:
* Dashboards vs. Notifications: Options C and D are incorrect because dashboards (both in Looker and Google SecOps) are for visualization, not active, real-time alerting. They show you the status when you look at them but do not proactively notify you of a failure.
* Metric-Absence vs. Metric-Value: Google SecOps streams all its ingestion health metrics to Google Cloud Monitoring, which is the correct tool for real-time alerting. However, Option A is monitoring the "total ingested log count." This metric would require a threshold (e.g., count < 1), which can be problematic. The specific and most reliable method to detect a "silent source" (one that has stopped sending data entirely) is to use a metric-absence condition. This type of policy in Cloud Monitoring triggers only when the platform stops receiving data for a specific metric (grouped by collector_id) for a defined duration (e.g., five minutes).
Exact Extract from Google Security Operations Documents:
Use Cloud Monitoring for ingestion insights: Google SecOps uses Cloud Monitoring to send the ingestion notifications. Use this feature for ingestion notifications and ingestion volume viewing... You can integrate email notifications into existing workflows.
Set up a sample policy to detect silent Google SecOps collection agents:
* In the Google Cloud console, select Monitoring.
* Click Create Policy.
* Select a metric, such as chronicle.googleapis.com/ingestion/log_count.
* In the Transform data section, set the Time series group by to collector_id.
* Click Next.
* Select Metric absence and do the following:
* Set Alert trigger to Any time series violates.
* Set Trigger absence time to a time (e.g., 5 minutes).
* In the Notifications and name section, select a notification channel.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Use Cloud Monitoring for ingestion insights
NEW QUESTION # 44
You are part of a cybersecurity team at a large multinational corporation that uses Google Security Operations (SecOps). You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches for the unknown C2s within the next 24 hours. What should you do?
- A. Write a YARA-L rule in Google SecOps that scans historic network outbound connections against ingested threat intelligence. Run the rule in a retrohunt against the full tenant.
- B. Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
- C. Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.
- D. Write a YARA-L rule in Google SecOps that compares network traffic from endpoints to recent WHOIS registrations. Run the rule in a retrohunt against the full tenant.
Answer: D
Explanation:
Comprehensive and Detailed 150 to 200 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to hunt for unknown C2 nodes. This implies that the indicators will not exist in any current threat intelligence feed. Therefore, Option C is incorrect as it only hunts for known IoCs. Option A is also incorrect as Security Health Analytics (SHA) is a posture management tool, not a threat hunting tool.
Option D describes a classic and effective hypothesis-driven threat hunt. Attackers frequently use Newly Registered Domains (NRDs) for their C2 infrastructure, as these domains have no established reputation and are not yet on blocklists.
Google Security Operations (SecOps) allows an engineer to write a YARA-L rule that joins real-time event data (UDM network traffic) with contextual data (the entity graph or a custom lookup). An engineer can ingest WHOIS data or a feed of NRDs as context. The YARA-L rule would then compare outbound network connections against this context, looking for any communication with domains registered within the last 30-
90 days. By executing this rule as a retrohunt, the engineer can scan all historical data to "generate a list of potential matches" for this high-risk, anomalous behavior, which is a strong indicator of unknown C2 activity.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Run a YARA-L retrohunt"; " Context-aware detections with entity graph")
NEW QUESTION # 45
You are conducting proactive threat hunting in your company's Google Cloud environment. You suspect that an attacker compromised a developer's credentials and is attempting to move laterally from a development Google Kubernetes Engine (GKE) cluster to critical production systems. You need to identify IoCs and prioritize investigative actions by using Google Cloud's security tools before analyzing raw logs in detail.
What should you do next?
- A. Review threat intelligence feeds within Google Security Operations (SecOps), and enrich any anomalies with context on known IoCs, attacker tactics, techniques, and procedures (TTPs), and campaigns.
- B. Create a Google SecOps SOAR playbook that automatically isolates any GKE resources exhibiting unusual network connections to production environments and triggers an alert to the incident response team.
- C. Investigate Virtual Machine (VM) Threat Detection findings in Security Command Center (SCC). Filter for VM Threat Detection findings to target the Compute Engine instances that serve as the nodes for the cluster, and look for malware or rootkits on the nodes.
- D. In the Security Command Center (SCC) console, apply filters for the cluster and analyze the resulting aggregated findings' timeline and details for IoCs. Examine the attack path simulations associated with attack exposure scores to prioritize subsequent actions.
Answer: D
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirements are to "proactively hunt," "prioritize investigative actions," and identify "lateral movement" paths before deep log analysis. This is the primary use case for Security Command Center (SCC) Enterprise. SCC aggregates all findings from Google Cloud services and correlates them with assets.
By filtering on the GKE cluster, the analyst can see all associated findings (e.g., from Event Threat Detection) which may contain initial IoCs.
More importantly, SCC's attack path simulation feature is specifically designed to "prioritize investigative actions" by modeling how an attacker could move laterally. It visualizes the chain of exploits-such as a misconfigured GKE service account with excessive permissions, combined with a public-facing service-that an attacker could use to pivot from the development cluster to high-value production systems. Each path is given an attack exposure score, allowing the hunter to immediately focus on the most critical risks.
Option C is too narrow, as it only checks for malware on nodes, not the lateral movement path. Option B is a later step used to enrich IoCs after they are found. Option D is an automated response (SOAR), not a proactive hunting and prioritization step.
(Reference: Google Cloud documentation, "Security Command Center overview"; "Attack path simulation and attack exposure scores")
NEW QUESTION # 46
Your Google Security Operations (SecOps) case queue contains a case with IP address entities. You need to determine whether the entities are internal or external assets and ensure that internal IP address entities are marked accordingly upon ingestion into Google SecOps SOAR. What should you do?
- A. Indicate your organization's known internal CIDR ranges in the Environment Networks list in the settings.
- B. Create a custom action to ping the IP address entity from your Remote Agent. If successful, the custom action designates the IP address entity as internal.
- C. Configure a feed to ingest enrichment data about the networks, and include these fields into your detection outcome.
- D. Modify the connector logic to perform a secondary lookup against your CMDB and flag incoming entities as internal or external.
Answer: A
NEW QUESTION # 47
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. Configure a step that revokes OAuth tokens and suspends sessions for high-privilege accounts based on entity risk.
- B. Create an external API call to VirusTotal to submit hashes from forensic artifacts.
- C. Add an approval step that requires an analyst to validate the alert before executing a containment action.
- D. Add a YARA-L rule that sends an alert when a document is executed using a scripting engine such as wscript.exe.
Answer: A
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 # 48
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