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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Security Operations Engineer Exam |
| Exam Number: | Security-Operations-Engineer |
| Exam Price: | $200 USD (plus tax where applicable) |
| Related Certifications: | Google Cloud Certified - Professional Cloud Security Engineer |
| Exam Format: | Multiple select, Multiple choice |
| Certificate Validity Period: | 2 years |
| Passing Score: | Not publicly disclosed (Pass/Fail only) |
| Available Languages: | English, Japanese |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 120 minutes |
| Recommended Training: | Official Exam Guide Google Cloud Skills Boost - Professional Security Operations Engineer Learning Path |
| 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 |
>> Security-Operations-Engineerコンポーネント <<
MogiExamは他の同様のプラットフォームとは異なり、Security-Operations-Engineer実際のテストはGoogle購入前に無料で試用できるため、サンプルの質問とソフトウェアの使用方法を理解できます。 また、自分のニーズに基づいて決定を下すことができ、後悔することはありません。 そして、Security-Operations-Engineer準備資料を改訂するために、専門家のグループを編成しました。 Security-Operations-Engineerガイド急流のシンプルで理解しやすい言語は、学生であれオフィスワーカーであれ、学習者が困難を学ぶことから解放します。 そして、Security-Operations-EngineerのGoogle Cloud Certified - Professional Security Operations Engineer (PSOE) Exam試験問題の合格率は99％〜100％です。
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質問 # 42
You are developing a security strategy for your organization. You are planning to use Google Security Operations (SecOps) and Google Threat Intelligence (GTI). You need to enhance the detection and response across multi-cloud and on-premises systems. How should you integrate these products?
Choose 2 answers
正解：A、D
解説：
Comprehensive and Detailed Explanation
The correct answers are B and D, as they accurately describe the two primary functions of a modern SecOps platform: SIEM (Detection) and SOAR (Response).
* Option B: (Detection Strategy) A SIEM's fundamental purpose is to perform detection. To do this, it must first ingest telemetry (logs) as events. This is the foundational step for any detection and response strategy. Logs from all sources-on-premises (e.g., firewalls, Active Directory) and multi- cloud (e.g., AWS CloudTrail, Azure Activity Logs)-are ingested into Google SecOps, normalized into the Unified Data Model (UDM), and stored as events. This is what allows detection rules to run.
(Option C is incorrect as logs are events, not entities).
* Option D: (Response Strategy) A SOAR's fundamental purpose is to orchestrate and automate the response to a detection. A key part of this response is event enrichment (or more specifically, observable enrichment). When an alert is ingested by the SOAR, a playbook runs. This playbook uses integrations (e.g., with Mandiant or VirusTotal, which are part of GTI) to query for real-time context on the observables (IPs, hashes, domains) in the alert. This enrichment helps an analyst make a decision or allows the playbook to automate a containment action.
Option A is incorrect because GTI is ingested as context (in the entity graph and Fusion Feed), not as events.
Option E is incorrect because "entity enrichment" (e.g., adding user data from AD) happens at the SIEM ingestion level, whereas SOAR integrations perform on-demand enrichment for alerts/events.
Exact Extract from Google Security Operations Documents:
Google SecOps data ingestion: Google Security Operations ingests customer logs, normalizes the data, and detects security alerts. Google SecOps ingests data using... Forwarders, Bindplane agent, Ingestion APIs, Google Cloud. Parsers convert logs from customer systems into a Unified Data Model (UDM) events.
Integrate Mandiant Threat Intelligence with Google SecOps: This document provides guidance on how to integrate Mandiant Threat Intelligence with Google Security Operations (Google SecOps). After you configure an integration instance, you can use it in playbooks.
Actions:
* Enrich Entities: Use the Enrich Entities action to enrich entities using the information from Mandiant Threat Intelligence. This action runs on the following Google SecOps entities: Hostname, IP Address, URL, File Hash.
* Enrich IOCs: Use this action to enrich indicators of compromise.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SecOps > Google SecOps data ingestion Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > Mandiant Threat Intelligence
質問 # 43
You are responsible for monitoring the ingestion of critical Windows server logs to Google Security Operations (SecOps) by using the Bindplane agent. You want to receive an immediate notification when no logs have been ingested for over 30 minutes. You want to use the most efficient notification solution. What should you do?
正解：C
解説：
The most efficient and native solution is to use the Google Cloud operations suite. Google Security Operations (SecOps) automatically exports its own ingestion health metrics to Cloud Monitoring. These metrics provide detailed information about the logs being ingested, including log counts, parser errors, and event counts, and can be filtered by dimensions such as hostname.
To solve this, an engineer would navigate to Cloud Monitoring and create a new alert policy. This policy would be configured to monitor the chronicle.googleapis.com/ingestion/log_entry_count metric, filtering it for the specific hostname of the critical Windows server.
Crucially, Cloud Monitoring alerting policies have a built-in condition type for "metric absence." The engineer would configure this condition to trigger if no data points are received for the specified metric (logs from that server) for a duration of 30 minutes. When this condition is met, the policy will automatically send a notification to the desired channels (e.g., email, PagerDuty). This is the standard, out-of-the-box method for monitoring log pipeline health and requires no custom rules (Option B) or custom heartbeat configurations (Option C).
(Reference: Google Cloud documentation, "Google SecOps ingestion metrics and monitoring"; "Cloud Monitoring - Alerting on metric absence")
質問 # 44
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?
正解：B
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")*
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質問 # 45
You have been tasked with developing a new response process in a playbook to contain an endpoint. The new process should take the following actions:
* Send an email to users who do not have a Google Security Operations (SecOps) account to request approval for endpoint containment.
* Automatically continue executing its logic after the user responds.
You plan to implement this process in the playbook by using the Gmail integration. You want to minimize the effort required by the SOC analyst. What should you do?
正解：D
解説：
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
This scenario describes an automated external approval, which is a key feature of Google Security Operations (SecOps) SOAR. The solution that "minimizes the effort required by the SOC analyst" is one that is fully automated and does not require the analyst to wait for an email and then manually resume the playbook.
The correct method (Option D) is to use the platform's built-in capabilities (often part of the "Flow" or
"Siemplify" integration) to generate a unique approval link (or "Approve" / "Deny" links). These links are tokenized and tied to the specific playbook's execution. This link is then inserted as a placeholder into the email that is sent to the non-SecOps user via the "Send Email" (Gmail integration) action.
The playbook is then configured with conditional logic (e.g., a "Wait for Condition") to pause execution until one of the links is clicked. When the external user clicks the "Approve" or "Deny" link in their email, it sends a secure signal back to the SOAR platform. The playbook automatically detects this response and continues down the appropriate conditional path (e.g., "if approved, execute endpoint containment"). This process is fully automated and requires zero analyst intervention, perfectly meeting the requirements.
Options A, B, and C all require manual analyst action, which violates the core requirement of minimizing analyst effort.
(Reference: Google Cloud documentation, "Google SecOps SOAR Playbooks overview"; "Gmail integration documentation"; "Flow integration - Wait for Approval")
質問 # 46
Your organization recently implemented Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You were notified by the networking team about potentially anomalous communications to external domains in the last 30 days. You plan to start your threat hunting by looking at communications to external domains. You are ingesting the following logs into Google SecOps:
- Firewall logs
- Proxy logs
- DNS logs
- DHCP logs
What should you do? (Choose two.)
正解：C、E
解説：
Running a UDM search for low-prevalence domains first seen in the last 30 days helps uncover potentially anomalous or malicious domains, since attackers often use newly registered or rarely seen domains for C2 or exfiltration.
Using the Risk Analytics dashboard allows you to identify domains with higher normalized risk scores. Drilling into those entities helps validate whether they are new, rare, or potentially tied to malicious activity.
質問 # 47
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