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| Section | Objectives |
|---|---|
| Topic 1: Identity and Access Security | - IAM security monitoring
|
| Topic 2: Threat Detection and Incident Response | - Detection engineering and threat hunting
|
| Topic 3: Cloud Security Posture and Compliance | - Security configuration assessment
|
| Topic 4: Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud 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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54. Frage
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?
Antwort: A
Begründung:
The best solution is to create a Cloud Monitoring notification with a metric-absence condition for each collector_id. A metric-absence alert triggers when expected ingestion metrics are missing within a defined period (e.g., five minutes), which quickly identifies silent sources or failed collectors. This provides near real-time detection of ingestion health issues in the SecOps pipeline.
55. Frage
You are using Google Security Operations (SecOps) to investigate suspicious activity linked to a specific user. You want to identify all assets the user has interacted with over the past seven days to assess potential impact. You need to understand the user's relationships to endpoints, service accounts, and cloud resources.
How should you identify user-to-asset relationships in Google SecOps?
Antwort: D
Begründung:
The primary investigation tool for exploring relationships and historical activity in Google Security Operations is the UDM (Universal Data Model) search. The platform's curated views, such as the "User View," are built on top of this search capability.
To find all assets a user has interacted with, an analyst would perform a UDM search for the specific user (e.
g., principal.user.userid = "suspicious_user") over the specified time range. The search results will include all UDM events associated with that user. Within these events, the analyst can examine all populated asset fields, such as principal.asset.hostname, principal.ip, target.resource.name, and target.user.userid (for interactions with service accounts).
This UDM search allows the analyst to pivot from the user entity to all related asset entities, directly answering the question of "what assets the user has interacted with." While the wording of Option A is slightly backward (it's more efficient to query for the user and find the hostnames), it is the only option that correctly identifies the UDM search as the tool used to find user-to-asset (hostname) relationships. Options B (Retrohunt), C (Raw Log Scan), and D (Ingestion Report) are incorrect tools for this investigative task.
(Reference: Google Cloud documentation, "Google SecOps UM Search overview"; "Investigate a user"; " Universal Data Model noun list")
56. Frage
Your team is responsible for cybersecurity for a large multinational corporation. You have been tasked with identifying unknown command and control nodes (C2s) that are potentially active in your organization's environment. You need to generate a list of potential matches within the next
24 hours. What should you do?
Antwort: A
Begründung:
The fastest and most effective way to identify unknown C2 nodes within 24 hours is to write a detection rule in Google SecOps that compares historic outbound connections against ingested threat intelligence, then run it as a retrohunt across the full tenant. Retrohunt enables rapid scanning of past telemetry at scale to surface potential matches without waiting for new events to occur.
57. Frage
You are an incident responder at your organization using Google Security Operations (SecOps) for monitoring and investigation. You discover that a critical production server, which handles financial transactions, shows signs of unauthorized file changes and network scanning from a suspicious IP address.
You suspect that persistence mechanisms may have been installed. You need to use Google SecOps to immediately contain the threat while ensuring that forensic data remains available for investigation. What should you do first?
Antwort: A
Begründung:
Comprehensive and Detailed Explanation
The correct answer is Option C. The prompt specifies two critical, simultaneous requirements: immediate containment and preservation of forensic data.
* Immediate Containment: The server is actively scanning the network, so it must be taken offline to prevent lateral movement and further compromise.
* Forensic Preservation: The suspicion of persistence mechanisms means a full investigation is required. This investigation relies on volatile data (running processes, memory, active network connections) that must not be destroyed.
Option C is the only action that satisfies both requirements. Using a Google SecOps SOAR playbook to trigger the EDR integration's "quarantine" action instructs the EDR agent on the server to block all its network connections. This immediately contains the threat. However, the server itself remains running, which preserves all volatile forensic data for the investigation.
Option B (reboot) is incorrect because it is an eradication step that would destroy all volatile forensic evidence. Options A and D are incomplete containment or investigation steps that do not fully isolate the compromised host.
Exact Extract from Google Security Operations Documents:
Incident Response and Containment: When a critical asset is compromised, the first priority is containment.
Google SecOps SOAR playbooks integrate with Endpoint Detection and Response (EDR) tools to automate this step.
EDR Integration Actions: The most common containment action is "Quarantine Host" or "Isolate Asset." This action instructs the EDR agent on the endpoint to block all network communications, effectively isolating it from the rest of the network. This step immediately stops the threat from spreading or communicating with a C2 server. A key benefit of this approach, as opposed to a shutdown or reboot, is that the host remains powered on, which preserves volatile memory and process data for forensic investigation.
References:
Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Playbooks > Playbook Actions Google Cloud Documentation: Google Security Operations > Documentation > SOAR > Marketplace integrations > (e.g., CrowdStrike, SentinelOne, Microsoft Defender)
58. Frage
You are implementing Google Security Operations (SecOps) for your organization. Your organization has their own threat intelligence feed that has been ingested to Google SecOps by using a native integration with a Malware Information Sharing Platform (MISP). You are working on the following detection rule to leverage the command and control (C2) indicators that were ingested into the entity graph.
What code should you add in the detection rule to filter for the domain IOCS?
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