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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	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 3	Platform Operations: This section of the exam measures the skills of Cloud Security Engineers and covers the configuration and management of security platforms in enterprise environments. It focuses on integrating and optimizing tools such as Security Command Center (SCC), Google SecOps, GTI, and Cloud IDS to improve detection and response capabilities. Candidates are assessed on their ability to configure authentication, authorization, and API access, manage audit logs, and provision identities using Workforce Identity Federation to enhance access control and visibility across cloud systems.

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Security-Operations-Engineer Prüfungsfragen mit Lösungen (Q135-Q140):

135. Frage
Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?

A. Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
B. Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
C. Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
D. Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.

Antwort: A

Begründung:
The correct, low-impact solution for augmenting a Google-managed parser is to use a parser extension. The problem states that the base parser is still working, but needs to be supplemented to map two new fields.
Copying the entire parser (Option A) is a high-impact, high-maintenance solution ("Customer Specific Parser"). This action makes the organization responsible for all future updates and breaks the link to Google's managed updates, which is not a minimal-impact solution.
The intended, modern solution is the parser extension. This feature allows an engineer to write a small, targeted snippet of Code-Based Normalization (CBN) code that executes after the Google-managed base parser. This extension code can access the raw_log and perform the specific logic needed to extract the two unmapped fields and assign them to their proper Universal Data Model (UDM) fields.
This approach is the fastest to deploy and minimizes change management impact because the core parser remains managed and updated by Google, while the extension simply adds the custom logic on top. Option B,
"Extract Additional Fields," is a UI-driven feature, but the underlying mechanism that saves and deploys this logic is the parser extension. Option D is the more precise description of the technical solution.
(Reference: Google Cloud documentation, "Manage parsers"; "Parser extensions"; "Code-Based Normalization (CBN) syntax")

136. Frage
Your company's SOC analysts frequently submit manual change requests to a system administrator to make changes to the firewall rules on a specific router. You have the integration for the firewall installed and configured with credentials. You want to use the integration to trigger firewall rule changes directly from the Google Security Operations (SecOps) SOAR. Your system administrator requires the ability to manually approve the requested changes prior to deployment.
How should you implement the workflow for analysts to trigger on demand?

A. Create an email template for the analyst to get approval for the change from the system administrator. Have the analyst fill out the needed fields, and send the email for approval. Once approved, use a manual action to make the change to the firewall rule from any open case.
B. Create an account for the system administrator in your Google SecOps instance to allow the system administrator to make the changes from Google SecOps directly. Add an escalation step to enable the analyst to assign the case to the system administrator.
C. Create a playbook where the firewall rule change is a manual step, allowing the analyst to edit the firewall rule as a pending action. Have the analyst email the system administrator with the change. Once approved, the analyst lets the playbook continue.
D. Create a request in the Google SecOps SOAR settings that includes a field for the firewall rule.Create a playbook that is triggered by this request. Configure the playbook step that makes the firewall rule change to send an approval request from the system administrator. The approval request must include the parameter being changed.

Antwort: D

Begründung:
The best approach is to create a SOAR request with a field for the firewall rule and trigger a playbook based on that request. Configure the playbook so that the firewall rule change step requires approval from the system administrator, including the relevant parameters. This allows analysts to initiate changes on demand while ensuring that all modifications are reviewed and approved before deployment, automating the workflow while respecting the approval requirement.

137. Frage
You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules. What should you add to the YARA-L detection rules?

A. net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
B. not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8")
C. not net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")
D. net.ip_in_range_cidr(all Se.principal.ip, "192.0.2.0/8")

Antwort: B

Begründung:
To reduce false positives from internal IP addresses in the 192.0.2.0/8 subnet, you need to exclude them in the detection rule. The correct syntax is to use not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8"). This ensures that alerts are not triggered for events originating from internal addresses while still detecting truly suspicious external activity.

138. Frage
You are managing the integration of Security Command Center (SCC) with downstream tooling. You need to pull security findings from SCC and import those findings as part of Google Security Operations (SecOps) SOAR actions. You need to configure the connection between SCC and Google SecOps.

A. Install the SCC integration from the Google SecOps Marketplace. Grant the SCC API the appropriate IAM roles to integrate with the Google SecOps instance. Configure this integration using a generated API key scoped to the SCC API.
B. Create a Pub/Sub topic with a NotificationConfig object and a push subscription for the desired finding types. Create a new Google SecOps service account in the Google Cloud project, and grant this service account the appropriate IAM roles to read from this subscription. Export the credentials from IAM and import the credentials into Google SecOps SOAR.
C. Create a Pub/Sub topic with a NotificationConfig object and a push subscription for the desired finding types. Grant the Google SecOps service account the appropriate IAM roles to read from this subscription.
D. Install the Google Rapid Response integration from the Google SecOps Marketplace. Gather information about the findings from the appropriate server.

Antwort: A

Begründung:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
To import findings specifically for Google SecOps SOAR actions (formerly Siemplify), you utilize the Marketplace Integrations.
The standard procedure for connecting external alerts to the SOAR platform is to install the specific integration (connector) from the Marketplace. The documentation states: "Google Security Operations SOAR includes a Marketplace where you can find and install integrations... The Google Cloud Security Command Center integration allows you to ingest findings as alerts." The configuration involves enabling the integration instance and providing authentication credentials (often a Service Account Key or API Key depending on the specific integration version and endpoint). Option B correctly identifies the "Install the SCC integration from the Google SecOps Marketplace" step as the primary mechanism for SOAR ingestion.
Options C and D describe the architecture for ingesting logs into the SIEM (Detection/Chronicle) layer using Pub/Sub feeds, rather than the API-based polling or fetching used by SOAR integrations to create cases.
References: Google Security Operations Documentation > Marketplace > Manage integrations; Google Security Operations Documentation > Integrations > Google Cloud Security Command Center

139. Frage
Your third-party application data is published in a Pub/Sub topic located in a separate Google Cloud project from your Google Security Operations (SecOps) instance. Your attempts to push data from the Pub/Sub topic to Google SecOps have failed. You need to send this data into Google SecOps in a low-latency, robust way. What should you do?

A. Push the data to Cloud Logging, and modify the export filter in direct ingestion.
B. Create a Cloud Run function that is subscribed to the Pub/Sub topic and uses a Google SecOps Ingestion API key to push the data into Google SecOps.
C. Enable the Chronicle API in the project that owns the Pub/Sub topic to push the subscription to Google SecOps.
D. Send Pub/Sub messages to a Cloud Storage bucket. Create an ingestion feed in Google SecOps to read from the bucket. Grant Storage Admin IAM access to the service account.

Antwort: B

Begründung:
The recommended low-latency and robust method to ingest third-party Pub/Sub data into Google Security Operations (SecOps) is to create a Cloud Run function subscribed to the Pub/Sub topic.
The function can process each message and forward it securely using a Google SecOps Ingestion API key. This design handles cross-project integration cleanly, provides fault tolerance and scalability, and ensures near real-time ingestion into SecOps.

140. Frage
......

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