Google - Efficient GCP-SOE-B - Security Operations Engineer (Beta) Exam Objectives Pdf

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Google GCP-SOE-B Exam Syllabus Topics:

Section	Objectives
Google Security Operations (Chronicle)	- Threat hunting workflows - Detection rules and analytics - Log ingestion and normalization
Cloud Security Monitoring	- Google Cloud Logging and Monitoring integration - IAM and access anomaly detection
SIEM and SOAR Operations	- Case management and response automation - Alert triage and investigation
Security Operations Fundamentals	- Threat detection and incident response lifecycle - Security monitoring and logging concepts

>> GCP-SOE-B Exam Objectives Pdf <<

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Google Security Operations Engineer (Beta) Sample Questions (Q12-Q17):

NEW QUESTION # 12
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. Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
C. Modify the detection rule in the SIEM to include the query results as part of the detection.
D. Add an action to the playbook that runs the SIEM query and returns the results.

Answer: D

NEW QUESTION # 13
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 for all Cloud Storage buckets and BigQuery datasets throughout the organization.
B. Enable VPC Flow Logs for the VPC networks containing resources that access the sensitive Cloud Storage buckets and BigQuery datasets.
C. Enable "data read" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.
D. Enable "data read" and "data write" audit logs only for the designated sensitive Cloud Storage buckets and BigQuery datasets.

Answer: C

NEW QUESTION # 14
You are conducting a proactive threat hunt in Google Security Operations (SecOps). You observe multiple login events with the same principal.user.userid field that originate from different countries within a short time window. You need to validate whether the account has been compromised. What should you do?

A. Perform a UDM search for login events, and pivot to group results by user and country of origin.
B. Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
C. Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.
D. Perform a YARA-L 2.0 search for login events and their associated principal.location.country field. Use an outcome field to aggregate the number of failed logins.

Answer: A

NEW QUESTION # 15
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. Create a widget that translates the JSON output to a severity score.
B. Pass the response back to the SIEM.
C. Use the number of detections from the response JSON in a conditional statement to set the severity.
D. Verify that the response is accurate by manually checking the URL in VirusTotal
E. Use a conditional statement to determine whether to treat the URL as suspicious or benign.

Answer: C,E

NEW QUESTION # 16
During a proactive threat hunting exercise, you discover that a critical production project has an external identity with a highly privileged IAM role. You suspect that this is part of a larger intrusion, and it is unknown how long this identity has had access. All logs are enabled and routed to a centralized organization-level Cloud Logging bucket, and historical logs have been exported to BigQuery datasets. You need to determine whether any actions were taken by this external identity in your environment. What should you do?

A. Analyze IAM recommender insights and Security Command Center (SCC) findings associated with the external identity.
B. Execute queries against the centralized Cloud Logging bucket and the BigQuery dataset to filter for logs for where the principal email matches the external identity.
C. Analyze VPC Flow Logs exported to BigQuery, and correlate source IP addresses with potential login events for the external identity.
D. Use Policy Analyzer to identity the resources that are accessible by the external identity. Examine the logs related to these resources in the centralized Cloud Logging bucket and the BigQuery dataset.

Answer: B

NEW QUESTION # 17
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