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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Foundations of Security Operations	15-20%	- Understanding MITRE ATT&CK framework - Building a security operations center (SOC) - Security operations concepts and lifecycle - Logging and monitoring infrastructure
Topic 2: Incident Response	20-25%	- Post-incident reporting - Incident classification and prioritization - Evidence collection and preservation - Root cause analysis - Forensic analysis techniques
Topic 3: Google Cloud Security Operations	15-20%	- Cloud-native threat detection - Automation with SOAR capabilities - Security Command Center integration - SIEM integration with Google Cloud services - Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring)
Topic 4: Detection Engineering	25-30%	- Log source integration and correlation - False positive management - Designing and implementing detection rules - Threat hunting methodologies - SIEM platform usage (Chronicle, Splunk, etc.)
Topic 5: Threat Intelligence	15-20%	- Threat intelligence sources and feeds - Indicator of compromise (IOC) analysis - Intelligence-driven defense - Threat actor profiling

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Google GCP-SOE-B - Security Operations Engineer (Beta) First-grade Exam Torrent

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Google Security Operations Engineer (Beta) Sample Questions (Q32-Q37):

NEW QUESTION # 32
You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained. What should you do?

A. Store the flagged users in a data table column with their corresponding time to live values in a second column. Use row-based comparisons in your detection rule.
B. Ingest the user flags as custom enrichment data using a feed. Use a multi-event detection rule to find logins from users flagged in the entity graph.
C. Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time to live values. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.
D. Store the identifiers of the flagged users in the detection rule logic. Actively monitor for newly flagged users, and add them to the detection rule logic.

Answer: B

NEW QUESTION # 33
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 Security Health Analytics (SHA) custom module using the compute address resource.
D. 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.

Answer: A

NEW QUESTION # 34
You are responsible for developing and configuring data ingestion in Google Security Operations (SecOps) for your organization. Your organization is using a prebuilt parser to parse a complex but stable and common log source. The parser is working correctly. However, your organization now wants you to change the configuration to parse additional fields from the raw logs and map them to UDM fields. What should you do?

A. Design and develop a custom parser.
B. Implement a parser extension on top of the prebuilt parser.
C. Apply any pending updates to the prebuilt parser.
D. Implement middleware to modify the underlying data structure.

Answer: B

NEW QUESTION # 35
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 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.
B. 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).
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

NEW QUESTION # 36
You are an incident response engineer at an organization that uses Google Security Operations (SecOps). You recently started monitoring IOCS in Applied Threat Intelligence using YARA-L rules. You have discovered that there are more false positive alerts than expected, which is causing noise for the SOC team. You need to reduce the number of false positive alerts. What should you do?

A. Implement curated detections instead of custom YARA-L rules.
B. Modify the YARA-L rules to use an indicator confidence score (IC-Score) of 60% and above.
C. Configure alert grouping for the most repetitive alerts.
D. Create a playbook that automatically tunes the IOC source if its indicator confidence score (IC- Score) is between 60% and 80%.

Answer: B

NEW QUESTION # 37
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