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Google GCP-SOE-B Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Observability and Reporting	8%	- Monitor platform health and performance - Build dashboards and metrics for security posture - Generate compliance and operational reports
Topic 2: Threat Hunting	18%	- Leverage threat intelligence to identify anomalies and threats - Design and execute threat-hunting methodologies - Document and report hunting findings - Use UDM search and query languages effectively
Topic 3: Incident Response	18%	- Triage, prioritize, and investigate security alerts - Orchestrate and automate response actions - Document incidents and support remediation - Conduct forensic analysis and root cause determination
Topic 4: Platform Operations	14%	- Administer Google Threat Intelligence (GTI) integrations - Configure and manage Security Command Center (SCC) resources - Manage Google Security Operations (SecOps) platform settings
Topic 5: Data Management	22%	- Manage data retention, storage, and access policies - Normalize and map data to Unified Data Model (UDM) - Optimize log and event data for analysis - Plan and implement data ingestion pipelines
Topic 6: Detection Engineering	20%	- Implement automated detection workflows - Develop and maintain detection rules (YARA-L, Sigma) - Validate and tune detection logic to reduce false positives - Integrate detections with alerting and case management

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최신 Google Cloud Certified GCP-SOE-B 무료샘플문제 (Q56-Q61):

질문 # 56
Your organization has a standard set of Google Security Operations (SecOps) playbooks that are applied to alerts in different circumstances. One playbook uses an "All" trigger that should always be applied if no other more specific playbooks have triggered. You need to ensure that the more specific playbook is attached and not the generic "All" playbook when multiple triggers match.
What should you do?

A. In the Outcomes section of the detection rule that is firing your alert, add a specific field to search for the specific playbook to base the trigger on.
B. Create a tagging rule in the Google SecOps SOAR settings, and use a tag trigger to trigger the specific playbook.
C. Change the "All" trigger to be more precise so that it doesn't trigger when the other playbook is needed.
D. Set the priority of the "All" playbook to a higher value than the priority of the specific playbook to ensure the "All" trigger is evaluated after the previous priorities.

정답：D

질문 # 57
Your company has deployed two on-premises firewalls. You need to configure the firewalls to send logs to Google Security Operations (SecOps) using Syslog. What should you do?

A. Pull the firewall logs by using a Google SecOps feed integration.
B. Set the Google SecOps URL instance as the Syslog destination.
C. Deploy a third-party agent (e.g Bindplane, NXLog) on your on-premises environment, and set the agent as the Syslog destination.
D. Deploy a Google Ops Agent on your on-premises environment, and set the agent as the Syslog destination.

정답：C

질문 # 58
You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?

A. Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
B. Add an action to the playbook that runs the SIEM query and returns the results.
C. Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
D. Modify the detection rule in the SIEM to include the query results as part of the detection.

정답：B

질문 # 59
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

A. Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
B. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
C. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
D. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.

정답：D

질문 # 60
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. 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.
B. 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.
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.

정답：A

질문 # 61
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