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Security-Operations-Engineer Practice Exam Questions & Security-Operations-E
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Google Security-Operations-Engineer Exam Syllabus Topics:| Topic | Details | | Topic 1 | - 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.
| | Topic 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.
| | Topic 3 | - 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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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q136-Q141):NEW QUESTION # 136
You are responsible for evaluating the level of effort required to integrate a new third-party endpoint detection tool with Google Security Operations (SecOps). Your organization's leadership wants to minimize customization for the new tool for faster deployment. You need to verify that the Google SecOps SOAR and SIEM support the expected workflows for the new third-party tool. You must recommend a tool to your leadership team as quickly as possible. What should you do?
Choose 2 answers
- A. Configure a Pub/Sub topic to ingest raw logs from the third-party tool, and build custom YARA-L rules in Google SecOps to extract relevant security events.
- B. Review the architecture of the tool to identify the cloud provider that hosts the tool.
- C. Develop a custom integration that uses Python scripts and Cloud Run functions to forward logs and orchestrate actions between the third-party tool and Google SecOps.
- D. Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
- E. Identify the tool in the Google SecOps Marketplace, and verify support for the necessary actions in the workflow.
Answer: D,E
Explanation:
Comprehensive and Detailed Explanation
The core task is to evaluate a new tool for fast, low-customization deployment across the entire Google SecOps platform (SIEM and SOAR). This requires checking the two main integration points: data ingestion (SIEM) and automated response (SOAR).
* SIEM Ingestion (Option B): To minimize customization for the SIEM, you must verify that Google SecOps can ingest and understand the tool's logs out-of-the-box. This is achieved by checking the Google SecOps documentation for a default parser for that specific tool. If a default parser exists, the logs will be automatically normalized into the Unified Data Model (UDM) upon ingestion, requiring zero custom development.
* SOAR Orchestration (Option C): To minimize customization for SOAR, you must verify that pre- built automated actions exist. The Google SecOps Marketplace contains all pre-built SOAR integrations (connectors). By finding the tool in the Marketplace, you can verify which actions (e.g.,
"Quarantine Host," "Get Process List") are supported, confirming that response playbooks can be built quickly without custom scripting.
Options D and E describe high-effort, custom integration paths, which are the exact opposite of the "minimize customization for faster deployment" requirement.
Exact Extract from Google Security Operations Documents:
Default parsers: Google Security Operations (SecOps) provides a set of default parsers that support many common security products. When logs are ingested from a supported product, SecOps automatically applies the correct parser to normalize the raw log data into the structured Unified Data Model (UDM) format. This is the fastest method to begin ingesting and analyzing new data sources.
Google SecOps Marketplace: The SOAR component of Google SecOps includes a Marketplace that contains a large library of pre-built integrations for common third-party security tools, including EDR, firewalls, and identity providers. Before purchasing a new tool, an engineer should verify its presence in the Marketplace and review the list of supported actions to ensure it meets the organization's automation and orchestration workflow requirements.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Ingestion > Default parsers > Supported default parsers Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations
NEW QUESTION # 137
You are creating a playbook for the SOC. The SOC requires that each Google Security Operations (SecOps) role sees different information for the alert that the playbook runs on. You need to ensure that the playbook presents the relevant information for each Google SecOps role.
What should you do?
- A. Add the Add General insight action to the playbook for each Google SecOps role.
- B. Add a view to the playbook for each Google SecOps role.
- C. Add the Create Siemplify Task action to the playbook to assign a task to each Google SecOps role.
- D. Add the Case Comment action to the playbook for each Google SecOps role.
Answer: B
Explanation:
The correct approach is to add a view to the playbook for each Google SecOps role. Views allow you to control what information is displayed based on the role, ensuring that each SOC role only sees the relevant details for their responsibilities during alert handling.
NEW QUESTION # 138
Which approach BEST improves detection of compromised service accounts in Google Cloud?
- A. Disabling all service accounts
- B. Monitoring VM uptime
- C. Baseline service account behavior and alert on deviations
- D. Alerting on login failures only
Answer: C
Explanation:
Service accounts rarely fail authentication; behavioral deviation detection is most effective.
NEW QUESTION # 139
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?
- A. Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
- B. Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
- C. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
- D. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
Answer: C
Explanation:
Since process hashes are not consistently available across all endpoints, relying solely on the DLL hash would miss activity. The best solution is to write a multi-event YARA-L detection rule that correlates the process relationship (rundll32.exe spawning powershell.exe with obfuscated arguments) together with the C2 domain and hash when available, and run a retrohunt. This approach detects both behavior-based and IOC-based indicators, ensuring coverage even when hashes are missing.
NEW QUESTION # 140
You work for an organization that operates an ecommerce platform. You have identified a remote shell on your company's web host. The existing incident response playbook is outdated and lacks specific procedures for handling this attack. You want to create a new, functional playbook that can be deployed as soon as possible by junior analysts. You plan to use available tools in Google Security Operations (SecOps) to streamline the playbook creation process. What should you do?
- A. Use the playbook creation feature in Gemini, and enter details about the intended objectives. Add the necessary customizations for your environment, and test the generated playbook against a simulated remote shell alert.
- B. Create a new custom playbook based on industry best practices, and work with an offensive security team to test the playbook against a simulated remote shell alert.
- C. Add instruction actions to the existing incident response playbook that include updated procedures with steps that should be completed. Have a senior analyst build out the playbook to include those new procedures.
- D. Use Gemini to generate a playbook based on a template from a standard incident response plan, and implement automated scripts to filter network traffic based on known malicious IP addresses.
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option C. The primary constraints are to "streamline" the process, create a "new, functional playbook," get it "as soon as possible," and "use available tools in Google Security Operations." Google Security Operations integrates Gemini directly into the SOAR platform to accelerate security operations. One of its key capabilities is generative playbook creation. This feature allows an analyst to describe their intended objectives in natural language (e.g., "Create a playbook to investigate and respond to a remote shell alert"). Gemini then generates a complete, logical playbook flow, including investigation, enrichment, containment, and eradication steps.
This generated playbook serves as a high-quality draft. The analyst can then add the necessary customizations (like specific tools, notification endpoints, or contacts for the e-commerce platform) and, most importantly, test the playbook to ensure it is functional and reliable for junior analysts to execute. This workflow directly meets all the prompt's requirements, especially "streamline" and "as soon as possible." Option D (creating a custom playbook from scratch and using a red team) is the exact opposite of streamlined and fast. Option B involves patching an "outdated" playbook, not creating a new one. Option A incorrectly bundles a specific remediation action (filtering traffic) with the playbook creation process.
Exact Extract from Google Security Operations Documents:
Gemini for Security Operations: Gemini in Google SecOps provides generative AI to assist analysts and engineers. Within the SOAR capability, Gemini can generate entire playbooks from natural language prompts.
Playbook Creation with Gemini: Instead of building a playbook manually, an engineer can describe the intended objectives of the response plan. Gemini will generate a new playbook with a logical structure, including relevant actions and conditional branches. This generated playbook serves as a strong foundation, which can then be refined. The engineer can add necessary customizations to tailor the playbook to the organization's specific environment, tools, and processes. Before deploying the playbook for use by the SOC, it is a best practice to test it against simulated alerts to validate its functionality and ensure it runs as expected.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Gemini in SOAR > Create playbooks with Gemini
NEW QUESTION # 141
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