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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q69-Q74):

NEW QUESTION # 69
You are threat hunting for an advanced threat group known for targeted, novel attacks by deploying campaign-specific infrastructure. You want to develop detections based on the threat group's behaviors so you can effectively detect whether the threat group has attacked your organization. What should you do?

A. Search for the threat actor in Google Threat Intelligence, review the threat actor's tactics, techniques, and procedures (TTPs), and design detections based on the TTPs in Google Security Operations (SecOps).
B. Find intelligence reports in Google Threat Intelligence that relate to the threat actor, identify their behavior in previous campaigns, and use the past behavior to design detections in Google Security Operations (SecOps).
C. Search for the threat actor in Google Threat Intelligence, export the IOCs associated with the threat actor into a Google Security Operations (SecOps) list, and develop detections that reference this list.
D. Identify exposed technologies and products used by your organization, and develop detections to search for signs of exploitation.

Answer: A

NEW QUESTION # 70
You are the SOC manager at a large enterprise that uses Google Security Operations (SecOps).
You need to create a report that shows the Return on Investment (ROI) attributed to analyst activities in Google SecOps SOAR for the previous month. The report should include the time saved and efficiency gains from using SOAR's features. You need to generate this report using the most efficient and accurate approach while providing the required level of detail. What should you do?

A. Use the ROI - Analysts Benchmark report in SOAR Reports. Configure the report to display data for the desired time period, and filter by individual analysts.
B. Develop a Google SecOps SOAR playbook that automatically aggregates analyst performance metrics, incorporates custom weighted factors for different case types, calculates ROI based on predefined formulas, and generates a PDF report on a monthly schedule.
C. Use the filters and visualizations in the Management - SOC Status report in SOAR Reports to extract case-specific performance data.
D. Create a custom Google SecOps SOAR search query that filters for all cases handled by specific analysts in the last month. Export the results to a spreadsheet for analysis and ROI calculation.

Answer: A

NEW QUESTION # 71
Your team is responsible for cybersecurity for a large multinational corporation. You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches within the Next 24 hours. What should you do?

A. Review Security Health Analytics (SHA) findings in Security Command Center (SCC).
B. Write a rule in Google Security Operations (SecOps) that scans historic network outbound connections against ingested threat intelligence Run the rule in a retrohunt against the full tenant.
C. Write a YARA-L rule in Google Security Operations (SecOps) that compares network traffic of endpoints to low prevalence domains against recent WHOIS registrations.
D. Load network records into BigQuery to identify endpoints that are communicating with domains outside three standard deviations of normal.

Answer: B

NEW QUESTION # 72
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the Applied Threat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?

A. Configure the rule to establish a join between the live network connection event and Fusion Feed data for the common external IP address. Filter the joined Fusion Feed data for explicit associations with the APT41 threat group or related indicators.
B. Configure the rule to detect outbound network connections to the external IP address. Create a Google SecOps SOAR playbook that queries the Fusion Feed to determine if the IP address has an APT41 relationship.
C. Configure the rule to check whether the external IP address from the network connection event has a high confidence score across any enabled threat intelligence feed.
D. Configure the rule to trigger when the external IP address from the network connection event matches an entry in a manually pre-curated reference list of all APT41-related IP addresses.

Answer: A

NEW QUESTION # 73
You are using Google Security Operations (SecOps) to hunt for signs of lateral movement through Remote Desktop Protocol (RDP) in your organization. You suspect that a compromised account was used to access multiple internal systems within a short time window. You want to construct a UDM-based search to identify this activity. How should you build this query? (Choose two.)

A. Use a saved search to identify all events with the LATERAL MOVEMENT tag over the past 30 days.
B. Correlate events based on the asset role or classification such as database or user workstation.
C. Group events by user identity and time to identify repeated access patterns.
D. Filter for events using protocol-level attributes that indicate RDP connections.
E. Filter for RDP connections with non-standard ports.

Answer: C,D

NEW QUESTION # 74
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