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| Section | Objectives |
|---|---|
| Topic 1: Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud Monitoring)
|
| Topic 2: Cloud Security Posture and Compliance | - Security configuration assessment
|
| Topic 3: Threat Detection and Incident Response | - Detection engineering and threat hunting
|
| Topic 4: Identity and Access Security | - IAM security monitoring
|
| Topic 5: Google Security Operations Platform | - Chronicle / Google SecOps SIEM usage
|
| Topic 6: Automation and Response | - Security orchestration and response
|
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NEW QUESTION # 93
Your organization has recently acquired Company A, which has its own SOC and security tooling. You have already configured ingestion of Company A's security telemetry and migrated their detection rules to Google Security Operations (SecOps). You now need to enable Company A's analysts to work their cases in Google SecOps. You need to ensure that Company A's analysts:
* do not have access to any case data originating from outside of Company A.
* are able to re-purpose playbooks previously developed by your organization's employees.
You need to minimize effort to implement your solution. What is the first step you should take?
Answer: C
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option A. This scenario requires both data segregation (Requirement 1) and resource sharing (Requirement 2), which is the exact use case for Google SecOps SOAR "Environments." Google SecOps SOAR (formerly Siemplify) provides a multi-tenancy feature called Environments within a single SOAR tenant. This feature is designed for organizations that need to logically separate data and operations, such as for different business units, geographical regions, or, as in this case, a newly acquired company.
* Fulfills Requirement 1 (Data Segregation): Creating a new SOAR environment for Company A ensures that all their ingested alerts and generated cases are isolated within that environment. Analysts assigned only to Company A's environment will not be able to see cases or data from the parent organization's environment.
* Fulfills Requirement 2 (Playbook Sharing): Playbooks are managed at the global (tenant) level and can be shared or assigned across multiple environments. This allows Company A's analysts to access and re-purpose the pre-existing playbooks developed by the parent organization, minimizing rework.
* Fulfills Requirement 3 (Minimize Effort): This is the built-in, low-effort solution. In contrast, Option D (a second tenant) would be high-effort, costly, and would make sharing playbooks extremely difficult, as tenants are fully isolated. Option B (a new role) controls permissions (e.g., view, edit) but does not inherently segregate data access. Option C (a service account) is for programmatic API access, not for human analysts working in the UI.
Exact Extract from Google Security Operations Documents:
SOAR Environments: Google SecOps SOAR supports multi-tenancy through the use of Environments.6 Environments enable you to maintain data isolation between different logical entities (such as customers, departments, or business units) within the same SOAR instance.7 Each environment functions as a separate workspace, with its own set of cases, alerts, assets, and incident data. This ensures that users and teams operating in one environment cannot access or view data in another, unless they are explicitly granted permission.
Global Resources and Playbooks: While data such as cases is segregated by environment, key SOAR components like playbooks are managed at the global scope. This allows you to create, test, and manage playbooks centrally and then make them available for use across any or all of your environments. This capability enables resource re-use and standardization of response procedures, even in a multi-tenant configuration.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > SOAR Administration > Environments Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook Management
NEW QUESTION # 94
You are the lead engineer on your organization's incident response team. You are running CrowdStrike Falcon and SentinelOne to protect the Windows devices in different regions of your organization. You are ingesting the following logs into Google Security Operations (SecOps):
- Azure AD Directory Audit (AZURE_AD_AUDIT)
- Crowdstrike Falcon (CS_EDR)
- Microsoft Sysmon (WINDOWS_SYSMON)
- SentinelOne (SENTINEL_EDR)
- Windows Event (WINEVTLOG)
You notice that a high volume of ransomware incidents are impacting your team's SLAs. You need to automate the response to ransomware on Windows devices. How should you automate the detection and containment of ransomware incidents? (Choose two.)
Answer: A,C
Explanation:
Enabling the Windows Threats category in curated detections ensures that the latest ransomware and other Windows-specific threats are automatically detected without creating custom rules, improving detection speed.
Installing SOAR EDR integrations allows automated containment actions (e.g., isolating impacted endpoints). Creating a playbook based on these curated detections automates response to ransomware incidents, reducing SLA impact and manual effort.
NEW QUESTION # 95
Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?
Answer: D
Explanation:
The correct, low-impact solution for augmenting a Google-managed parser is to use a parser extension. The problem states that the base parser is still working, but needs to be supplemented to map two new fields.
Copying the entire parser (Option A) is a high-impact, high-maintenance solution ("Customer Specific Parser"). This action makes the organization responsible for all future updates and breaks the link to Google's managed updates, which is not a minimal-impact solution.
The intended, modern solution is the parser extension. This feature allows an engineer to write a small, targeted snippet of Code-Based Normalization (CBN) code that executes after the Google-managed base parser. This extension code can access the raw_log and perform the specific logic needed to extract the two unmapped fields and assign them to their proper Universal Data Model (UDM) fields.
This approach is the fastest to deploy and minimizes change management impact because the core parser remains managed and updated by Google, while the extension simply adds the custom logic on top. Option B,
"Extract Additional Fields," is a UI-driven feature, but the underlying mechanism that saves and deploys this logic is the parser extension. Option D is the more precise description of the technical solution.
(Reference: Google Cloud documentation, "Manage parsers"; "Parser extensions"; "Code-Based Normalization (CBN) syntax")
NEW QUESTION # 96
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 amount of effort required by the SOC analyst. What should you do?
Answer: A
Explanation:
The most efficient method is to use the Create Entity action from the Siemplify integration and leverage the Expression Builder to automatically extract usernames from the UDM query results and populate them into the Entities Identifier parameter. This minimizes manual effort, ensures accurate entity creation, and enables the playbook to proceed with automated remediation such as password resets.
NEW QUESTION # 97
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?
Answer: D
Explanation:
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.
NEW QUESTION # 98
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