Security-Operations-Engineer受験対策書 & Security-Operations-Engineer日本語練習問題

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Google Security-Operations-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Professional Security Operations Engineer Exam
Exam Number:	Security-Operations-Engineer
Exam Format:	Multiple select, Multiple choice
Exam Price:	$200 USD (plus tax where applicable)
Related Certifications:	Google Cloud Certified - Professional Cloud Security Engineer
Certificate Validity Period:	2 years
Available Languages:	Japanese, English
Passing Score:	Not publicly disclosed (Pass/Fail only)
Exam Duration:	120 minutes
Real Exam Qty:	50-60
Recommended Training:	Google Cloud Skills Boost - Professional Security Operations Engineer Learning Path Official Exam Guide
Exam Registration:	Google Cloud Certification Registration
Sample Questions:	Google Security-Operations-Engineer Sample Questions
Exam Way:	Online-proctored (remote) or Onsite-proctored at authorized testing centers
Pre Condition:	No mandatory prerequisites; Recommended: 3+ years security industry experience, 1+ year hands-on with Google Cloud security tools
Official Syllabus URL:	https://cloud.google.com/learn/certification/security-operations-engineer

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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	データ管理：このセクションでは、セキュリティアナリストのスキルを評価し、脅威の検知と対応のための効果的なデータ取り込み、ログ管理、コンテキストエンリッチメントに焦点を当てます。取り込みパイプラインの設定、パーサーの設定、データ正規化の管理、大規模ログ記録に伴うコストの処理能力を評価します。さらに、イベントデータを相関分析し、関連する脅威インテリジェンスを統合することで、ユーザー、資産、エンティティの行動に関するベースラインを確立し、より正確な監視を行う能力も評価します。
トピック 2	インシデント対応：このセクションでは、インシデント対応マネージャーのスキルを測定し、セキュリティインシデントの封じ込め、調査、解決に関する専門知識を評価します。試験内容には、証拠収集、フォレンジック分析、エンジニアリングチーム間の連携、影響を受けたシステムの隔離が含まれます。受験者は、自動化されたプレイブックの設計と実行、対応手順の優先順位付け、オーケストレーションツールの統合、そしてケースライフサイクルの効率的な管理によってエスカレーションと解決プロセスを効率化する能力について評価されます。
トピック 3	プラットフォーム運用：このセクションでは、クラウドセキュリティエンジニアのスキルを評価し、エンタープライズ環境におけるセキュリティプラットフォームの構成と管理について学習します。Security Command Center（SCC）、Google SecOps、GTI、Cloud IDS などのツールを統合および最適化し、検出および対応能力を向上させることに重点を置いています。受験者は、認証、認可、API アクセスの構成、監査ログの管理、Workforce Identity Federation を使用した ID のプロビジョニングを行い、クラウドシステム全体のアクセス制御と可視性を強化する能力が評価されます。
トピック 4	脅威ハンティング：この試験セクションでは、サイバー脅威ハンターのスキルを評価し、クラウドおよびハイブリッド環境全体にわたる脅威のプロアクティブな特定に重点を置いています。高度なクエリの作成と実行、ユーザーおよびネットワークの行動分析、インシデントデータと脅威インテリジェンスに基づく仮説の構築能力が試されます。受験者は、BigQuery、Logs Explorer、Google SecOpsなどのGoogle Cloudツールを活用して侵害の兆候（IOC）を発見し、インシデント対応チームと連携して、隠れた攻撃や進行中の攻撃を発見することが求められます。

Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam 認定 Security-Operations-Engineer 試験問題 (Q52-Q57):

質問 # 52
You have identified and isolated a new malware sample installed by an advanced threat group that you believe was developed specifically for an attack against your organization. You want to quickly and efficiently analyze this malware to get IOCs without alerting the threat group. What should you do?

A. Calculate the file checksum for the malware, and search for the checksum in GoogleThreat Intelligence by using VirusTotal.
B. Search for the threat group in Google Threat Intelligence.
C. Upload the malware to Google Threat Intelligence by using Private Scanning.
D. Upload the malware to Google Threat Intelligence by using VirusTotal.

正解：C

解説：
The correct action is to upload the malware to Google Threat Intelligence using Private Scanning.
Private Scanning allows you to analyze malware safely and extract IOCs without sharing the sample publicly. This prevents alerting the threat group while still enabling rapid and detailed intelligence gathering.

質問 # 53
You are a security engineer at a managed security service provider (MSSP) that is onboarding to Google Security Operations (SecOps). You need to ensure that cases for each customer are logically separated. How should you configure this logical separation?

A. In Google SecOps SOAR settings, create a role for each customer.
B. In Google SecOps SOAR settings, create a new environment for each customer.
C. In Google SecOps SOAR settings, create a permissions group for each customer.
D. In Google SecOps Playbooks, create a playbook for each customer.

正解：B

解説：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The correct mechanism for achieving logical data segregation for different customers in a Google Security Operations (SecOps) SOAR multi-tenant environment is by using Environments. The documentation explicitly states that "you can define different environments and environment groups to create logical data segregation." This separation applies to most platform modules, including cases, playbooks, and dashboards.
This feature is specifically designed for this use case: "This process is useful for businesses and Managed Security Service Providers (MSSPs) who need to segment their operations and networks. Each environment...
can represent a separate customer." When an analyst is associated with a specific environment, they can only see the cases and data relevant to that customer, ensuring strict logical separation.
While permission groups (Option C) and roles (Option A) are used to control what a user can do within the platform (e.g., view cases, edit playbooks), they do not provide the primary data segregation. Environments are the top-level containers that separate one customer's data and cases from another's. Playbooks (Option B) are automation workflows and are not a mechanism for logical separation.
(Reference: Google Cloud documentation, "Control access to the platform using SOAR permissions"; " Support multiple instances [SOAR]")

質問 # 54
You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain. You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the effort required by the SOC analyst. What should you do?

A. Configure a manual Create Entity action from the Siemplify integration that instructs the analyst to input the Entities Identifier parameter based on the results of the action.
B. Create a case for each identified user with the user designated as the entity.
C. Use the Create Entity action from the Siemplify integration. Use the Expression Builder to create a placeholder with the usernames in the Entities Identifier parameter.
D. Implement an Instruction action from the Flow integration that instructs the analyst to add the entities in the Google SecOps user interface.

正解：C

解説：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to *automate* the extraction of data to *minimize analyst effort*. This is a core function of Google Security Operations SOAR (formerly Siemplify). The **Siemplify integration** provides the foundational playbook actions for case management and entity manipulation.
The **`Create Entity`** action is designed to programmatically add new entities (like users, IPs, or domains) to the active case. To make this action automatic, the playbook developer must use the **Expression Builder**. The Expression Builder is the tool used to parse the JSON output from a previous action (the UDM query) and dynamically map the results (the list of usernames) into the parameters of a subsequent action.
By using the Expression Builder to configure the `Entities Identifier` parameter of the `Create Entity` action, the playbook automatically extracts all `principal.user.userid` fields from the UDM query results and adds them to the case. These new entities can then be automatically passed to the next playbook step, such as
"Reset Password."
Options A and C are incorrect because they are **manual** actions. They require an analyst to intervene, which does *not* minimize effort. Option D is incorrect as it creates multiple, unnecessary cases, flooding the queue instead of enriching the single, original phishing case.
*(Reference: Google Cloud documentation, "Google SecOps SOAR Playbooks overview"; "Using the Expression Builder"; "Marketplace and Integrations")*
***

質問 # 55
You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do?
Choose 2 answers

A. Verify that the response is accurate by manually checking the URL in VirusTotal.
B. Use the number of detections from the response JSON in a conditional statement to set the severity.
C. Create a widget that translates the JSON output to a severity score.
D. Use a conditional statement to determine whether to treat the URL as suspicious or benign.
E. Pass the response back to the SIEM.

正解：B、D

解説：
Comprehensive and Detailed Explanation
The goal is to automate a decision-making process within a SOAR playbook based on data from an integration. This requires two steps: getting the specific data point (Option E) and then using it in a logical operator (Option A).
* Get the Data Point (Option E): The VirusTotal integration returns a detailed JSON object. The most critical data point for determining maliciousness is the number of detections (i.e., how many scanning engines flagged the URL). The playbook must parse this specific value from the JSON output.
* Use the Data in Logic (Option A): Once the playbook has the number of detections, it must use a conditional statement (an "If/Then" block) to act on it. This logic is how the playbook makes a recommendation and sets the severity. For example: IF number_of_detections > 3, THEN set severity to CRITICAL and add a comment URL is suspicious. ELSE, set severity to LOW and add a comment URL appears benign.
Option C is incorrect as it describes a manual process, which defeats the purpose of automation. Option D is incorrect as widgets are for displaying data in the case UI, not for executing logic within a playbook.
Exact Extract from Google Security Operations Documents:
Playbook logic and conditional actions: SOAR playbooks execute a series of actions to automate incident response. A core component of this automation is the conditional statement. After an enrichment action (like querying VirusTotal) runs, the playbook can use a conditional block to evaluate the results.
The playbook can parse the JSON output from the integration to extract key values, such as the number of positive detections. This value can then be used in the conditional (e.g., IF detections > 0) to determine the next step, such as setting the alert's severity, escalating to an analyst, or automatically determining if an indicator should be treated as suspicious or benign.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook logic and conditional actions Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > VirusTotal v3

質問 # 56
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. 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.
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. Install the Google Rapid Response integration from the Google SecOps Marketplace. Gather information about the findings from the appropriate server.

正解：C

解説：
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

質問 # 57
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