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Google Security-Operations-Engineer 認定試験の出題範囲:
| トピック | 出題範囲 |
|---|
| トピック 1 | - 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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| トピック 2 | - 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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| トピック 3 | - 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科目対策 <<
Security-Operations-Engineer模擬試験サンプル、Security-Operations-Engineerテスト内容
Fast2testは、他の学習教材と比較した場合、Security-Operations-Engineerトレーニング教材の品質が高いことを約束できます。 10年以上のビジネス経験を持つSecurity-Operations-Engineer調査ツールは、顧客の購入権をずっと重視してきました。当社のウェブサイトのSecurity-Operations-Engineer学習資料は、ユーザーの通常の作業と学習に影響を与えず、時間の利用率を大幅に向上させ、1石で2羽の鳥を殺します。弊社の学習教材が、最短でSecurity-Operations-Engineer試験に合格するのに役立つことは間違いありません。
Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam 認定 Security-Operations-Engineer 試験問題 (Q138-Q143):
質問 # 138
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 check whether the external IP address from the network connection event has a high confidence score across any enabled threat intelligence feed.
- 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 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.
- D. 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.
正解:B
解説:
The correct configuration is to join live network connection events with Fusion Feed data on the external IP address and filter for explicit associations with APT41 or related indicators. This ensures that the detection not only matches direct IP addresses but also flags those with documented relationships to APT41 in the Fusion Feed, providing broader and more accurate detection than static lists or general confidence scores.
質問 # 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 within SCCE and integrate with the existing SOC ticketing system. You want to use the most efficient solution. 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. Use the SCC notifications feed to send alerts to Pub/Sub. Ingest these feeds using the relevant SIEM connector.
- C. 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.
- D. Configure the SCC notifications feed to send alerts to a Cloud Storage bucket. Create a Dataflow job to read the new files, extract the relevant information, and send the information to the SOC ticketing system.
正解:C
解説:
Comprehensive and Detailed Explanation
The correct answer is Option C. The prompt asks for the most efficient and automated solution for handling SCCE findings and integrating with a ticketing system. This is the primary use case for Google Security Operations SOAR.
The native workflow is as follows:
* SCCE detects a finding.
* The finding is automatically ingested into Google SecOps SIEM, which creates an alert.
* The alert is automatically sent to SecOps SOAR, which creates a case.
* The SOAR case automatically triggers a playbook.
Option C describes this process perfectly. An administrator would disable the default playbook and enable a specific playbook that uses a pre-built integration (from the Marketplace) for the organization's ticketing system (e.g., ServiceNow, Jira). This playbook would contain an automated step to generate a ticket, thus fulfilling the requirement efficiently.
Option B is a manual process. Options A and D describe complex, custom-built data engineering pipelines, which are far less efficient than using the built-in SOAR capabilities.
Exact Extract from Google Security Operations Documents:
SOAR Playbooks and Integrations: Google SecOps SOAR is designed to automate and orchestrate responses to alerts. When an alert from a source like Security Command Center (SCC) is ingested and creates a case, it can be configured to automatically trigger a playbook.
Ticketing Integration: A common playbook use case is integration with an external ticketing system. Using a pre-built integration from the SOAR Marketplace, an administrator can add a step to the playbook (e.g., Create Ticket). This action will automatically generate a ticket in the external system and populate it with details from the alert, such as the finding, the affected resources, and the recommended remediation steps.
This provides a seamless, automated workflow from detection to ticketing.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Use cases > Case Management Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations
質問 # 140
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.
正解:C
解説:
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.
質問 # 141
You manage a large fleet of Compute Engine instances. Security Health Analytics (SHA) has generated a CONFIDENTIAL_COMPUTING_DISABLED finding within Security Command Center (SCC). You need to quickly remediate this finding. What should you do?
- A. Delete the offending VM instance, and disable the SHA detector.
- B. Delete the offending VM instance, and mute the finding.
- C. Delete the offending VM instance, and allow the finding to be automatically marked as inactive.
- D. Delete the offending VM instance, and manually mark the finding as inactive.
正解:C
解説:
When you delete the offending VM instance, the related SHA finding will be automatically marked as inactive in Security Command Center (SCC). This is the correct and efficient way to remediate the finding without manually muting or disabling detectors, ensuring the issue is resolved and tracked properly.
質問 # 142
You are developing a new detection rule in Google Security Operations (SecOps). You are defining the YARA-L logic that includes complex event, match, and condition sections. You need to develop and test the rule to ensure that the detections are accurate before the rule is migrated to production. You want to minimize impact to production processes. What should you do?
- A. Develop the rule in the Rules Editor, define the sections the rule logic, and test the rule using the test rule feature.
- B. Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule by setting it to live but not alerting. Run a YARA-L retrohunt from the rules dashboard.
- C. Use Gemini in Google SecOps to develop the rule by providing a description of the parameters and conditions, and transfer the rule into the Rules Editor.
- D. Develop the rule logic in the UDM search, review the search output to inform changes to filters and logic, and copy the rule into the Rules Editor.
正解:D
解説:
The safest way to minimize production impact is to develop and refine the rule logic in UDM search first. By running searches and reviewing outputs, you can iteratively tune filters and conditions until the detections are accurate. Once validated, you then copy the tested query into the Rules Editor. This approach ensures accuracy without risking false positives or unnecessary load in production.
質問 # 143
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