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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q26-Q31):
NEW QUESTION # 26
You are a SOC manager at an organization that recently implemented Google Security Operations (SecOps).
You need to monitor your organization's data ingestion health in Google SecOps. Data is ingested with Bindplane collection agents. You want to configure the following:
* Receive a notification when data sources go silent within 15 minutes.
* Visualize ingestion throughput and parsing errors.
What should you do?
- A. Configure notifications in Cloud Monitoring when ingestion sources become silent in Bindplane.
Monitor and visualize Google SecOps data ingestion metrics using Bindplane Observability Pipeline (OP). - B. Configure silent source alerts based on rule detections for anomalous data ingestion activity in Risk Analytics. Monitor and visualize the alert metrics in the Risk Analytics dashboard.
- C. Configure silent source notifications for Google SecOps collection agents in Cloud Monitoring. Create a Cloud Monitoring dashboard to visualize data ingestion metrics.
- D. Configure automated scheduled delivery of an ingestion health report in the Data Ingestion and Health dashboard. Monitor and visualize data ingestion metrics in this dashboard.
Answer: C
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option D. This approach correctly uses the integrated Google Cloud-native tools for both monitoring and alerting.
Google Security Operations (SecOps) automatically streams all ingestion metrics to Google Cloud Monitoring. This includes metrics for throughput (e.g., chronicle.googleapis.com/ingestion/event_count, chronicle.googleapis.com/ingestion/byte_count), parsing errors (e.g., chronicle.googleapis.com/ingestion
/parse_error_count), and the health of collection agents (e.g., chronicle.googleapis.com/ingestion
/last_seen_timestamp).
* Receive a notification (15 minutes): The Data Ingestion and Health dashboard (Option A) is for visualization, and its "reports" are scheduled summaries, not real-time alerts. The only way to get a 15- minute notification is to use Cloud Monitoring. An alerting policy can be configured to trigger when a
"metric absence" is detected for a specific collection agent's last_seen_timestamp, fulfilling the "silent source" requirement.
* Visualize metrics: Cloud Monitoring also provides a powerful dashboarding service. A Cloud Monitoring dashboard can be built to graph all the necessary metrics-throughput, parsing errors, and agent status-in one place.
Option C is incorrect because it suggests using the Bindplane Observability Pipeline, which is a separate product. Option B is incorrect as Risk Analytics is for threat detection (UEBA), not platform health.
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.
Set up a sample policy to detect silent Google SecOps collection agents:
* In the Google Cloud console, select Monitoring.
* Click Create Policy.
* On the Select a metric page, select Chronicle Collector > Ingestion > Total ingested log count.
* In the Transform data section, set the Time series group by to collector_id.
* Click Next.
* Select Metric absence and set the Trigger absence time (e.g., 15 minutes).
* In the Notifications and name section, select a notification channel.
You can also create custom dashboards in Cloud Monitoring to visualize any of the exported metrics, such as Total ingested log size or Total record count (for parsing).
References:
Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Use Cloud Monitoring for ingestion insights Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Silent-host monitoring > Use Google Cloud Monitoring with ingestion labels for SHM
NEW QUESTION # 27
You are developing a new detection rule in Google Security Operations (SecOps). You are defining the YARA-L logic that includes complex event, match, and condition sections. You need to develop and test the rule to ensure that the detections are accurate before the rule is migrated to production. You want to minimize impact to production processes. What should you do?
- A. Develop the rule logic in the UDM search, review the search output to inform changes to filters and logic, and copy the rule into the Rules Editor.
- B. Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule by setting it to live but not alerting. Run a YARA-L retrohunt from the rules dashboard.
- C. Use Gemini in Google SecOps to develop the rule by providing a description of the parameters and conditions, and transfer the rule into the Rules Editor.
- D. Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule using the test rule feature.
Answer: D
Explanation:
The Google Security Operations (SecOps) platform provides an integrated, zero-impact workflow for developing and testing detections. The standard method is to use the "Test Rule" feature, which is built directly into the Rules Editor.
After the detection engineer has defined the complete YARA-L logic (including events, match, and condition sections), they can click the "Test Rule" button. This function performs a historical search (a retrohunt) against a specified time range of UDM data (e.g., last 24 hours, last 7 days). The platform then returns a list of all events that would have triggered the detection, without creating any live alerts, cases, or impacting production.
This allows the engineer to "ensure that the detections are accurate" by reviewing the historical matches, identifying potential false positives, and refining the rule's logic. This iterative "develop and test" cycle within the editor is the primary method for validating a rule before it is enabled. While UDM search (Option A) is useful for testing the events section logic, it cannot test the full match and condition logic of the rule. Setting a rule to "live but not alerting" (Option D) is a valid, later step, but the "Test Rule" feature is the correct initial development and testing tool.
(Reference: Google Cloud documentation, "Create and manage rules using the Rules Editor"; "Test a rule")
NEW QUESTION # 28
You need to augment your organization's existing Security Command Center (SCC) implementation with additional detectors. You have a list of known IoCs and would like to include external signals for this capability to ensure broad detection coverage. What should you do?
- A. Create an Event Threat Detection custom module using the "Configurable Bad IP" template.
- B. Create a custom posture for your organization that combines the prebuilt Event Threat Detection and Security Health Analytics (SHA) detectors.
- C. Create a custom log sink with internal and external IP addresses from threat intelligence. Use the SCC API to generate a finding for each event.
- D. Create a Security Health Analytics (SHA) custom module using the compute address resource.
Answer: A
Explanation:
The correct solution is to create an Event Threat Detection (ETD) custom module. ETD is the Security Command Center (SCC) service designed to analyze logs for active threats, anomalies, and malicious behavior. The user's requirement is to use a list of known Indicators of Compromise (IoCs) and external signals, which directly aligns with the purpose of ETD.
In contrast, Security Health Analytics (SHA), mentioned in options A and B, is a posture management service. SHA custom modules are used to detect misconfigurations and vulnerabilities in resource settings, not to analyze log streams for threat activity based on IoCs.
Event Threat Detection provides pre-built templates for creating custom modules to simplify the detection engineering process. The "Configurable Bad IP" template is specifically designed for this exact use case. It allows an organization to upload and maintain a list of known malicious IP addresses (a common form of external IoC). ETD will then continuously scan relevant log sources, such as VPC Flow Logs, Cloud DNS logs, and Cloud NAT logs. If any activity to or from an IP address on this custom list is detected, ETD automatically generates a CONFIGURABLE_BAD_IP finding in Security Command Center for review and response. This approach is the native, efficient, and supported method for integrating IP-based IoCs into SCC, unlike option D which requires building a complex, manual pipeline.
(Reference: Google Cloud documentation, "Overview of Event Threat Detection custom modules"; "Using Event Threat Detection custom module templates")
NEW QUESTION # 29
You are implementing Google Security Operations (SecOps) for your organization. Your organization has their own threat intelligence feed that has been ingested to Google SecOps by using a native integration with a Malware Information Sharing Platform (MISP). You are working on the following detection rule to leverage the command and control (C2) indicators that were ingested into the entity graph.
What code should you add in the detection rule to filter for the domain IOCS?
- A. $ioc.graph.metadata.entity_type = "D0MAIN_NAME"
$ioc.graph.metadata.source_type = MDERIVED_CONTEXT" - B. $ioc.graph.metadata.entity_type = ,'D0MAIN_NAME*'
$ioc.graph.metadata.source type = "source type unspecified" - C. $ioc.graph.metadata.entity_type = MDOMAlN_NAME"
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