Exam GCP-SOE-B Cram Questions, GCP-SOE-B Pass4sure Study Materials

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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q44-Q49):

NEW QUESTION # 44
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. 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.
B. 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.
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.

Answer: B

NEW QUESTION # 45
Your organization is a Google Security Operations (SecOps) customer and monitors critical assets using a SIEM dashboard. You need to dynamically monitor the assets based on a specific asset tag. What should you do?

A. Add a custom filter to the dashboard.
B. Export the dashboard configuration to a file, modify the file to add a custom filter, and import the file into Google SecOps.
C. Ask Cloud Customer Care to add a custom filter to the dashboard.
D. Copy an existing dashboard and add a custom filter.

Answer: A

NEW QUESTION # 46
A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?

A. Apply risk-based alert scoring and entity correlation
B. Limit alerts to business hours
C. Disable medium-severity rules
D. Increase alert thresholds globally

Answer: A

NEW QUESTION # 47
You are responsible for selecting and prioritizing potential sources of data to integrate with Google Security Operations (SecOps). Your company has recently started using several Google Cloud services to increase security in its Google Cloud organization. You need to determine which logs should be ingested into Google SecOps to reduce the effort required to write detections. What should you do?

A. Ingest Google Cloud Armor logs by using Cloud Logging.
B. Deploy a Bindplane agent to ingest event logs from Compute Engine VMs that provide endpoint visibility.
C. Use Google Threat Intelligence to gain insight about threat group behavior and support threat hunting activities.
D. Integrate Security Command Center (SCC) into Google SecOps to ingest logs originating from the Google Cloud services.

Answer: D

NEW QUESTION # 48
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. 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.
B. 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.
C. 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.
D. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.

Answer: B

NEW QUESTION # 49
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