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Google GCP-SOE-B Exam Syllabus Topics:

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

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GCP-SOE-B Security Operations Engineer (Beta) Learning Material in 3 Different Formats

We strongly recommend using our Security Operations Engineer (Beta) (GCP-SOE-B) exam dumps to prepare for the Google GCP-SOE-B certification. It is the best way to ensure success. With our Security Operations Engineer (Beta) (GCP-SOE-B) practice questions, you can get the most out of your studying and maximize your chances of passing your Security Operations Engineer (Beta) (GCP-SOE-B) exam.

Google Security Operations Engineer (Beta) Sample Questions (Q10-Q15):

NEW QUESTION # 10
You observe several distinct, low-severity suspicious activities associated with a single internal server. You determine that no single event is a high-confidence IO You need to create a solution that ensures ongoing and heightened scrutiny for this server. What should you do?

A. Schedule a daily Google Security Operations (SecOps) report detailing all activity on this server.
B. Create a case, isolate the server from the network, and escalate the case for forensic investigation.
C. Add the server to a Google Security Operations (SecOps) watchlist, and monitor the watchlist closely for the next few weeks.
D. Develop a YARA-L detection rule specific to this server.

Answer: C

NEW QUESTION # 11
You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs. What should you do?

A. Ingest logs from Windows Sysmon.
B. Ingest logs from Windows Procmon.
C. Ingest logs from Windows PowerShell.
D. Ingest logs from Microsoft Entra I

Answer: A

NEW QUESTION # 12
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. Filter for RDP connections with non-standard ports.
C. Filter for events using protocol-level attributes that indicate RDP connections.
D. Correlate events based on the asset role or classification such as database or user workstation.
E. Group events by user identity and time to identify repeated access patterns.

Answer: C,E

NEW QUESTION # 13
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 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.
B. 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.
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: B

NEW QUESTION # 14
You are building a detection rule in Google Security Operations (SecOps) to alert on requests to potentially malicious domains. You are planning to use the logs from your network detection and response (NDR) solution but you need to reduce noise and narrow the scope of detections. You want to minimize cost and deploy the solution quickly. What should you do?

A. Ingest logs from a domain monitoring service, and build a multi-event rule that correlates the domains found in your NDR logs with your domain monitoring data.
B. Ingest logs from your threat intelligence platform (TIP), and build a multi-event rule that correlates the domains found in your NDR logs with your threat intelligence data.
C. Build a Google SecOps SOAR playbook that enriches domain entities in alerts with VirusTotal information and auto-closes cases when no domains are classified as malicious.
D. Build a multi-event rule that correlates the domains found in your NDR logs with WHOIS context in the entity graph and sets the risk score based on domain creation time.

Answer: B

NEW QUESTION # 15
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