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Google GCP-SOE-B Exam Syllabus Topics:

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

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Free PDF Quiz Google - GCP-SOE-B - Security Operations Engineer (Beta) –Valid Exam Format

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Google Security Operations Engineer (Beta) Sample Questions (Q56-Q61):

NEW QUESTION # 56
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" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
B. Enable "data read" 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.

Answer: B

NEW QUESTION # 57
Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A. Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.
B. Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
C. Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
D. Use a custom parser that outputs all fields as raw JSON for detection.

Answer: A

NEW QUESTION # 58
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. Configure alert grouping for the most repetitive alerts.
C. Create a playbook that automatically tunes the IOC source if its indicator confidence score (IC- Score) is between 60% and 80%.
D. Modify the YARA-L rules to use an indicator confidence score (IC-Score) of 60% and above.

Answer: D

NEW QUESTION # 59
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?

A. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
B. Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
C. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
D. Create a notification in Cloud Monitoring using a metric- absence condition based on sample policy for each collector_id.

Answer: D

NEW QUESTION # 60
You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do? (Choose two.)

A. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
B. Verify that the response is accurate by manually checking the URL in VirusTotal
C. Create a widget that translates the JSON output to a severity score.
D. Use the number of detections from the response JSON in a conditional statement to set the severity.
E. Pass the response back to the SIEM.

Answer: A,D

NEW QUESTION # 61
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