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Google Security-Operations-Engineer 考試大綱:
| 主題 | 簡介 |
|---|
| 主題 1 | - 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.
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| 主題 2 | - 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.
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| 主題 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.
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| 主題 4 | - 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.
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| 主題 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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Security-Operations-Engineer認證指南,Security-Operations-Engineer考題寶典
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最新的 Google Cloud Certified Security-Operations-Engineer 免費考試真題 (Q138-Q143):
問題 #138
You are working with your company's analyst team to automate the investigation of phishing alerts ingested directly into Google Security Operations (SecOps) SOAR from an email inbox.
The analyst team currently uses a SIEM query to search for related information. You need to design a solution to automatically include the query results in the Google SecOps case without writing any new code. What should you do?
- A. Create a custom action in Google SecOps IDE that runs the SIEM query from a playbook through an API call and returns the results.
- B. Add a widget to the Default Case View in Google SecOps SOAR that allows the analyst team to query directly from the widget.
- C. Modify the detection rule in the SIEM to include the query results as part of the detection.
- D. Add an action to the playbook that runs the SIEM query and returns the results.
答案:D
解題說明:
The simplest and most effective way - without writing new code - is to add an action to the playbook that runs the SIEM query and returns the results. This integrates SIEM query results automatically into each phishing case, supporting streamlined analyst investigations.
問題 #139
Your organization has recently onboarded to Google Cloud with Security Command Center Enterprise (SCCE) and is now integrating it with your organization's SOC. You want to automate the response process and integrate with the existing SOW ticketing system. How should you implement this functionality?
- A. Evaluate each event within the SCC console. Create a ticket for each finding in the ticketing system, and include the remediation steps.
- B. Disable the generic posture finding playbook in Google Security Operations (SecOps) SOAR and enable the playbook for the ticketing system. Add a step in your Google SecOps SOAR playbook to generate a ticket based on the event type.
- C. Use the SCC notifications feed to send alerts to Pub/Sub. Ingest these feeds using the relevant SIEM connector.
- D. Configure the SCC notifications feed to use Pub/Sub for alerts. Create a Cloud Run function to trigger when an event arrives in the topic and generate a ticket by calling the API endpoint in the SOC ticketing system.
答案:D
解題說明:
The correct solution is to configure the SCC notifications feed to Pub/Sub and then use a Cloud Run function triggered by new events in the topic to call the SOC ticketing system's API. This automates ticket creation for findings, integrates seamlessly with the existing SOC process, and minimizes manual intervention while ensuring timely response.
問題 #140
You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?
- A. Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.
- B. Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.
- C. Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.
- D. Set a retention period for the BigQuery export.
答案:B
解題說明:
The export from Google SecOps to BigQuery requires that the SecOps service account has permission to write to the dataset. Granting the service account the roles/bigquery.dataEditor IAM role on the target dataset provides the necessary access to insert data, resolving the export failure.
問題 #141
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. What should you do?
- A. Install the Google Rapid Response integration from the Google SecOps Marketplace. Gather information about the findings from the appropriate server.
- 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. 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.
- D. 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.
答案:C
解題說明:
The proper way to integrate SCC findings into Google SecOps SOAR is to install the SCC integration from the Google SecOps Marketplace. You must grant the SCC API the appropriate IAM roles so that Google SecOps can access the findings, and configure the integration using a generated API key scoped to the SCC API. This approach provides a managed, secure, and supported method for importing SCC findings into SecOps actions.
問題 #142
Your company uses Cloud Identity to manage employee identities and has Google Security Operations (SecOps) linked to your Google Cloud project. You have assigned the roles/chronicle.viewer IAM role at the project level to a specific Google Group that contains users with external Google accounts. Users in this external group authenticate successfully to Google Cloud, but are unable to access Google SecOps. Internal users granted the same role can access Google SecOps. What Google Cloud configuration is most likely preventing the external users from accessing Google SecOps?
- A. The roles/chronicle.viewer IAM role does not apply correctly when granted to Google Groups containing external identities.
- B. External users must be synchronized to Cloud Identity using Google Cloud Directory Sync (GCDS) for IAM roles to take effect.
- C. Google SecOps inherently blocks sign-ins from identities outside the organization's primary domain.
- D. The constraints/iam.allowedPolicyMemberDomains organization policy is restricting IAM role assignments to identities within your company domain only.
答案:D
解題說明:
The most likely cause is the constraints/iam.allowedPolicyMemberDomains organization policy.
This policy can restrict IAM role assignments to identities within specific domains, preventing external users from accessing Google SecOps even if they are in a Google Group granted the role. Internal users are unaffected because their identities match the allowed domain.
問題 #143
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