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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q47-Q52):

NEW QUESTION # 47
You are a security operations engineer in an enterprise that uses Google Security Operations (SecOps). Your organization recently faced a cybersecurity breach. You need to increase the threat analytics as quickly as possible. What should you do?

A. Ingest data from a threat intelligence platform (TIP) into Google SecOps.
B. Design YARA-L detection rules based on Google SecOps Marketplace use cases.
C. Develop YARA-L detection rules that focus on threat intelligence.
D. Enable curated detections to identify threats.

Answer: D

NEW QUESTION # 48
You are using a Google-managed image on a Compute Engine instance in Google Cloud to run an application. You need to ingest the application's log output into Google Security Operations (SecOps). The log output is standard and has a valid label and parser in Google SecOps. Your solution must minimize the cost and time required to move this data into Google SecOps. What should you do?

A. Create a script on the workload that reads the logs and uses the Google SecOps Ingestion API to push them to Google SecOps.
B. Use the Ops Agent embedded in the Compute Engine image to pull the logs into Cloud Logging. Use the direct ingestion mechanism to ingest the logs from Google Cloud into Google SecOps.
C. Deploy a Bindplane agent on the image to collect and send the logs to Google SecOps.
D. Use the Ops Agent embedded in the Compute Engine image to pull the logs into a Cloud Storage bucket. Create a feed in Google SecOps to ingest the logs.

Answer: B

NEW QUESTION # 49
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

A. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
B. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
C. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
D. Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.

Answer: B

NEW QUESTION # 50
Your organization recently implemented Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You were notified by the networking team about potentially anomalous communications to external domains in the last 30 days. You plan to start your threat hunting by looking at communications to external domains. You are ingesting the following logs into Google SecOps:
- Firewall logs
- Proxy logs
- DNS logs
- DHCP logs
What should you do? (Choose two.)

A. Navigate to the IOC Matches page and filter based on domain type over the last 30 days. Look for the first seen and last seen timestamps for the reported domains. Investigate these domains using the IOC drilldown link.
B. Perform a UDM search across the logs for domains with geolocations that were first seen in the last 30 days.
C. Identify the domains with the higher normalized risk in Risk Analytics. Drill down into those entities to determine their prevalence and if they were first seen in the last 30 days.
D. Perform a UDM search across the logs for domains with low prevalence that were first seen in the last 30 days.
E. Perform a raw log search across the logs for domains with low prevalence that were first seen in the last 30 days.

Answer: C,D

NEW QUESTION # 51
You have a close relationship with a vendor who reveals to you privately that they have discovered a vulnerability in their web application that can be exploited in an XSS attack. This application is running on servers in the cloud and on- premises. Before the CVE is released, you want to look for signs of the vulnerability being exploited in your environment. What should you do?

A. Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
B. Create a YARA-L 2.0 rule to detect high-prevalence binaries on your web server architecture communicating with known command and control (C2) nodes. Review inbound traffic from those C2 domains that have only started appearing recently.
C. Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.
D. Create a YARA-L 2.0 rule to detect a time-ordered series of events where an external inbound connection to a server was followed by a process on the server that spawned subprocesses previously not seen in the environment.

Answer: D

NEW QUESTION # 52
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