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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q73-Q78):

NEW QUESTION # 73
Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?

A. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
B. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
C. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
D. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.

Answer: D

NEW QUESTION # 74
Your organization recently implemented Google Security Operations (SecOps). You need to create a solution that allows the security team to monitor data ingestion into Google SecOps in real time. You also need to configure a solution that automatically sends a notification if one of the data sources stops ingesting dat a. You need to minimize the cost of these configurations.
What should you do?

A. Create Looker dashboards to visualize the data ingestion, and configure an alerting policy in Cloud Monitoring to send a notification in case of failure.
B. Use Google SecOps SIEM dashboards to visualize the data ingestion and configure an alerting policy in Cloud Logging to send a notification in case of failure.
C. Create Looker dashboards to visualize the data ingestion, and configure an alerting policy in Looker to send a notification in case of failure.
D. Use Google SecOps SIEM dashboards to visualize the data ingestion, and configure an alerting policy in Cloud Monitoring to send a notification in case of failure.

Answer: D

NEW QUESTION # 75
Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using the least amount of effort. What should you do?

A. Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.
B. Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
C. Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
D. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.

Answer: B

NEW QUESTION # 76
Your company's analyst team uses a playbook to make necessary changes to external systems that are integrated with the Google Security Operations (SecOps) platform. You need to automate the task to run once every day at a specific time. You want your solution to minimize maintenance overhead. What should you do?

A. Write a custom Google SecOps SOAR job in the IDE using the code from the existing playbook actions.
B. Create a Google SecOps SOAR request and a playbook trigger to match the request from the user to start the playbook with the relevant actions.
C. Create a Cron Scheduled Connector for this use case Configure a playbook trigger to match the cases created by the connector that runs the playbook with the relevant actions.
D. Use a VM to host a script that runs a playbook via an API call.

Answer: C

NEW QUESTION # 77
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 a Security Health Analytics (SHA) custom module using the compute address resource.
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 an Event Threat Detection custom module using the "Configurable Bad IP" template.

Answer: D

NEW QUESTION # 78
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