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Die Schulungsunterlagen zur Google Security-Operations-Engineer Prüfung von ZertSoft sind von den erfahrenen IT-Experten aus ihren Erfahrungen entworfen, sie sind eine Kombination von Fragen und Antworten, daher sind sie nicht vergleichbar. Da unsere professionelle Berufsgruppe und die genauesten Prüfungsunterlagen zur Google Security-Operations-Engineer Prüfung haben, sind die Bestehensrate von ZertSoft die höchste unter allen Webseiten in der ganzen Welt. Wenn Sie ZertSoft wählen, dann sind Sie auf dem Weg zum Erfolg.
Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Security-Operations-Engineer Prüfungsfragen mit Lösungen (Q31-Q36):
31. Frage
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. Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
- B. Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.
- C. 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.
- D. Build a data table that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
Antwort: D
Begründung:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The core of this problem is the unreliable data quality for the file hash. A robust detection strategy cannot depend on an unreliable data point. Options B and C are weak because they create a dependency on the SHA256 hash, which the prompt states is "not reliably captured." This would lead to missed detections.
Option A is far too broad and would generate massive noise.
The best detection engineering practice is to use the reliable IoCs in a flexible and high-performance manner.
The domain is a reliable IoC (from DNS logs), and the hash is still a valuable IoC, even if it's only intermittently available.
The standard Google SecOps method for this is to create a List (referred to here as a "data table") containing both static IoCs: the hash and the domain. An engineer can then write a single, efficient YARA-L rule that references this list. This rule would trigger if either a PROCESS_LAUNCH event is seen with a hash in the list or a NETWORK_DNS event is seen with a domain in the list (e.g., (event.principal.process.file.sha256 in
%ioc_list) or (event.network.dns.question.name in %ioc_list)). This creates a resilient detection mechanism that provides two opportunities to identify the threat, successfully working around the unreliable data problem.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Using Lists in rules"; "Detection engineering overview")
32. Frage
Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity.
You want to detect this anomalous data access behavior using minimal effort. What should you do?
- A. Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
- B. Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
- C. Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.
- D. Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
Antwort: D
Begründung:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The requirement to detect activity that is *unusual* compared to a *user's established baseline* is the precise definition of **User and Endpoint Behavioral Analytics (UEBA)**. This is a core capability of Google Security Operations Enterprise designed to solve this exact problem with **minimal effort**.
Instead of requiring analysts to write and tune custom rules with static thresholds (like in Option A) or configure external metrics (Option B), the UEBA engine automatically models the behavior of every user and entity. By simply **enabling the curated UEBA detection rulesets**, the platform begins building these dynamic baselines from historical log data.
When a user's activity, such as data download volume, significantly deviates from their *own* normal, established baseline, a UEBA detection (e.g., `Anomalous Data Download`) is automatically generated. These anomalous findings and other risky behaviors are aggregated into a risk score for the user. Analysts can then use the **Risk Analytics dashboard** to proactively identify the highest-risk users and investigate the specific anomalous activities that contributed to their risk score. This built-in, automated approach is far superior and requires less effort than maintaining static, noisy thresholds.
*(Reference: Google Cloud documentation, "User and Endpoint Behavioral Analytics (UEBA) overview";
"UEBA curated detections list"; "Using the Risk Analytics dashboard")*
33. Frage
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
- A. Use Google SecOps SOAR integrations with GTI for entity enrichment.
- B. Ingest GTI IOCs into Google SecOps as security events.
- C. Ingest on-premises and cloud security logs into Google SecOps SIEM as events.
- D. Ingest on-premises and cloud security logs into Google SecOps SIEM as entities.
- E. Use Google SecOps SOAR integrations with GTI for event enrichment.
Antwort: C,E
Begründung:
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
34. Frage
Your Google Security Operations (SecOps) case queue contains a case with IP address entities. You need to determine whether the entities are internal or external assets and ensure that internal IP address entities are marked accordingly upon ingestion into Google SecOps SOAR. What should you do?
- A. Create a custom action to ping the IP address entity from your Remote Agent. If successful, the custom action designates the IP address entity as internal.
- B. Modify the connector logic to perform a secondary lookup against your CMDB and flag incoming entities as internal or external.
- C. Indicate your organization's known internal CIDR ranges in the Environment Networks list in the settings.
- D. Configure a feed to ingest enrichment data about the networks, and include these fields into your detection outcome.
Antwort: C
35. Frage
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. Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
- B. Identify the tool in the Google SecOps Marketplace, and verify support for the necessary actions in the workflow.
- 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 architecture of the tool to identify the cloud provider that hosts the tool.
- E. 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.
Antwort: A,B
Begründung:
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
36. Frage
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