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Google GCP-SOE-B Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Google Cloud Security Operations | 15-20% | - Automation with SOAR capabilities - SIEM integration with Google Cloud services - Cloud-native threat detection - Security Command Center integration - Google Cloud logging and monitoring (Cloud Logging, Cloud Monitoring) |
| Incident Response | 20-25% | - Evidence collection and preservation - Post-incident reporting - Forensic analysis techniques - Root cause analysis - Incident classification and prioritization |
| Threat Intelligence | 15-20% | - Indicator of compromise (IOC) analysis - Threat intelligence sources and feeds - Threat actor profiling - Intelligence-driven defense |
| Foundations of Security Operations | 15-20% | - Security operations concepts and lifecycle - Logging and monitoring infrastructure - Building a security operations center (SOC) - Understanding MITRE ATT&CK framework |
| Detection Engineering | 25-30% | - Threat hunting methodologies - SIEM platform usage (Chronicle, Splunk, etc.) - Log source integration and correlation - Designing and implementing detection rules - False positive management |
Google Security Operations Engineer (Beta) Sample Questions:
1. You work for an organization that operates an ecommerce platform. You have identified a remote shell on your company's web host. The existing incident response playbook is outdated and lacks specific procedures for handling this attack. You want to create a new, functional playbook that can be deployed as soon as possible by junior analysts. You plan to use available tools in Google Security Operations (SecOps) to streamline the playbook creation process. What should you do?
A) Create a new custom playbook based on industry best practices, and work with an offensive security team to test the playbook against a simulated remote shell alert.
B) Use Gemini to generate a playbook based on a template from a standard incident response plan and implement automated scripts to filter network traffic based on known malicious IP addresses.
C) Use the playbook creation feature in Gemini, and enter details about the intended objectives. Add the necessary customizations for your environment, and test the generated playbook against a simulated remote shell alert.
D) Add instruction actions to the existing incident response playbook that include updated procedures with steps that should be completed. Have a senior analyst build out the playbook to include those new procedures.
2. 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) Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
B) 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.
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) 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.
3. Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?
A) Customize the Close Case dialog and add the five DLP event types as root cause options.
B) Create case tags in Google SecOps SOAR where each tag contains a unique definition of each of the five DLP event types, and have analysts assign them to cases manually.
C) Customize the Case Name format to include the DLP event type.
D) Create a Google SecOps SOAR playbook that automatically assigns case tags where each tag contains the unique definition of one of the five DLP event types.
4. You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?
A) Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable
B) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
C) Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
D) Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
5. You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?
A) Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
B) Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
C) Enable "data read" and "data write" audit logs for all Cloud Storage buckets and BigQuery datasets throughout the organization.
D) Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |

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