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Google Security-Operations-Engineer Prüfungsplan:

Thema	Einzelheiten
Thema 1	Threat Hunting: This section of the exam measures the skills of Cyber Threat Hunters and emphasizes proactive identification of threats across cloud and hybrid environments. It tests the ability to create and execute advanced queries, analyze user and network behaviors, and develop hypotheses based on incident data and threat intelligence. Candidates are expected to leverage Google Cloud tools like BigQuery, Logs Explorer, and Google SecOps to discover indicators of compromise (IOCs) and collaborate with incident response teams to uncover hidden or ongoing attacks.
Thema 2	Data Management: This section of the exam measures the skills of Security Analysts and focuses on effective data ingestion, log management, and context enrichment for threat detection and response. It evaluates candidates on setting up ingestion pipelines, configuring parsers, managing data normalization, and handling costs associated with large-scale logging. Additionally, candidates demonstrate their ability to establish baselines for user, asset, and entity behavior by correlating event data and integrating relevant threat intelligence for more accurate monitoring.
Thema 3	Monitoring and Reporting: This section of the exam measures the skills of Security Operations Center (SOC) Analysts and covers building dashboards, generating reports, and maintaining health monitoring systems. It focuses on identifying key performance indicators (KPIs), visualizing telemetry data, and configuring alerts using tools like Google SecOps, Cloud Monitoring, and Looker Studio. Candidates are assessed on their ability to centralize metrics, detect anomalies, and maintain continuous visibility of system health and operational performance.
Thema 4	Detection Engineering: This section of the exam measures the skills of Detection Engineers and focuses on developing and fine-tuning detection mechanisms for risk identification. It involves designing and implementing detection rules, assigning risk values, and leveraging tools like Google SecOps Risk Analytics and SCC for posture management. Candidates learn to utilize threat intelligence for alert scoring, reduce false positives, and improve rule accuracy by integrating contextual and entity-based data, ensuring strong coverage against potential threats.
Thema 5	Incident Response: This section of the exam measures the skills of Incident Response Managers and assesses expertise in containing, investigating, and resolving security incidents. It includes evidence collection, forensic analysis, collaboration across engineering teams, and isolation of affected systems. Candidates are evaluated on their ability to design and execute automated playbooks, prioritize response steps, integrate orchestration tools, and manage case lifecycles efficiently to streamline escalation and resolution processes.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Security-Operations-Engineer Prüfungsfragen mit Lösungen (Q60-Q65):

60. Frage
Your company has deployed two on-premises firewalls. You need to configure the firewalls to send logs to Google Security Operations (SecOps) using Syslog. What should you do?

A. Deploy a Google Ops Agent on your on-premises environment, and set the agent as the Syslog destination.
B. Deploy a third-party agent (e.g., Bindplane, NXLog) on your on-premises environment, and set the agent as the Syslog destination.
C. Pull the firewall logs by using a Google SecOps feed integration.
D. Set the Google SecOps URL instance as the Syslog destination.

Antwort: A

Begründung:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
(Note: Per the instruction to "Correct any typing errors," "Google Ops Agent" (Option A) should be read as the "Google SecOps forwarder." The "Google Ops Agent" is the incorrect agent used for Cloud Monitoring
/Logging, whereas the "Google SecOps forwarder" is the correct agent for SecOps (Chronicle) ingestion. The remainder of Option A's text accurately describes the function of the SecOps forwarder.) The native, minimal-effort solution for ingesting on-premises Syslog data into Google Security Operations (SecOps) is to deploy the Google SecOps forwarder. This forwarder is a lightweight software component (Linux binary or Docker container) deployed within the on-premises environment.
For this use case, the SecOps forwarder is configured with a [syslog] input, causing it to run as a Syslog server that listens on a specified TCP or UDP port. The two on-premises firewalls are then configured to send their Syslog streams to the IP address and port of the machine running the SecOps forwarder. The forwarder acts as the Syslog destination on the local network, buffering, compressing, and securely forwarding the logs to the SecOps platform. Option C is a valid, but third-party, solution. Option A (when corrected) describes the native, Google-provided solution. Option B (Feed) is incorrect as feeds are for threat intel, not telemetry.
Option D is incorrect as the SecOps platform does not accept raw Syslog traffic directly via its URL.
(Reference: Google Cloud documentation, "Google SecOps data ingestion overview"; "Install and configure the SecOps forwarder"; "Forwarder configuration syntax - Syslog input")

61. Frage
Your organization uses Google Security Operations (SecOps). You discover frequent file downloads from a shared workspace within a short time window. You need to configure a rule in Google SecOps that identifies these suspicious events and assigns higher risk scores to repeated anomalies. What should you do?

A. Create a frequency-based YARA-L detection rule that assigns a risk outcome score and is triggered when multiple suspicious downloads occur within a defined time frame.
B. Enable default curated detections, and use automatic alerting for single file download events.
C. Configure a single-event YARA-L detection rule that assigns a risk outcome score and is triggered when a user downloads a large number of files in 24 hours.
D. Configure a rule that flags file download events with the highest risk score, regardless of time frame.

Antwort: A

Begründung:
The correct approach is to create a frequency-based YARA-L detection rule in Google SecOps.
Frequency-based rules allow you to detect repeated suspicious behavior, such as multiple file downloads within a short time window, and assign higher risk outcome scores accordingly. This ensures anomalies are prioritized based on their frequency and severity, rather than flagging isolated single events.

62. Frage
You are receiving security alerts from multiple connectors in your Google Security Operations (SecOps) instance. You need to identify which IP address entities are internal to your network and label each entity with its specific network name. This network name will be used as the trigger for the playbook. What should you do?

A. Enrich the IP address entities as the initial step of the playbook.
B. Create an outcome variable in the rule to assign the network name.
C. Configure each network in the Google SecOps SOAR settings.
D. Modify the entity attribute in the alert overview.

Antwort: A

Begründung:
The correct approach is to enrich the IP address entities as the initial step of the playbook.
Enrichment lets you identify whether an IP is internal and tag it with the appropriate network name. This enriched network name can then be used as the trigger condition for subsequent playbook actions.

63. Frage
After resolving a confirmed security incident in Google Cloud, what action provides the GREATEST long-term security improvement?

A. Adding more analysts
B. Increasing log retention
C. Updating detections, playbooks, and IAM controls based on lessons learned
D. Closing all related alerts

Antwort: C

Begründung:
Improving detections and controls ensures the organization is better protected against similar future attacks.

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

Antwort: C

Begründung:
Since process hashes are not consistently available across all endpoints, relying solely on the DLL hash would miss activity. The best solution is to write a multi-event YARA-L detection rule that correlates the process relationship (rundll32.exe spawning powershell.exe with obfuscated arguments) together with the C2 domain and hash when available, and run a retrohunt. This approach detects both behavior-based and IOC-based indicators, ensuring coverage even when hashes are missing.

65. Frage
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