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| Section | Objectives |
|---|---|
| Topic 1: Automation and Response | - Security orchestration and response
|
| Topic 2: Google Security Operations Platform | - Chronicle / Google SecOps SIEM usage
|
| Topic 3: Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud Monitoring)
|
| Topic 4: Identity and Access Security | - IAM security monitoring
|
| Topic 5: Cloud Security Posture and Compliance | - Security configuration assessment
|
| Topic 6: Threat Detection and Incident Response | - Detection engineering and threat hunting
|
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131. Frage
You are a security engineer at a financial technology company. You need to create a centralized dashboard to provide security posture visibility for your leadership team. The dashboard must meet these requirements:
- Provide insights from Security Command Center (SCC) findings and security-related events captured in Cloud Logging.
- Support large volumes of historical data.
- Be able to join SCC findings and audit logs.
You want to use the most effective visualization solution that uses Google Cloud managed services. What should you do?
Antwort: B
Begründung:
The most effective approach is to export SCC findings and Cloud Audit Logs into BigQuery, which supports large-scale storage and querying of historical data. You can then connect Looker Studio to BigQuery to create a centralized dashboard that visualizes and joins SCC findings with audit logs. This leverages fully managed Google Cloud services and provides scalability, flexibility, and real-time reporting for leadership visibility.
132. Frage
You are helping a new Google Security Operations (SecOps) customer configure access for their SOC team. The Google SecOps administrators currently have access to the instance. The customer is reporting that new Google SecOps users are not getting authorized to access the instance, but they are able to authenticate to the third-party identity provider (IdP). How should you fix the issue? (Choose two.)
Antwort: A,D
Begründung:
Granting the roles/chronicle.viewer role to the SOC team's IdP group in IAM provides the necessary permissions for users to access the Google SecOps instance.
Granting the Basic permission to the appropriate IdP groups in the Google SecOps SOAR Advanced Settings ensures that these users have the correct access at the application level.
133. Frage
You have a close relationship with a vendor who reveals to you privately that they have discovered a vulnerability in their web application that can be exploited in an XSS attack. This application is running on servers in the cloud and on-premises. Before the CVE is released, you want to look for signs of the vulnerability being exploited in your environment. What should you do?
Antwort: B
Begründung:
Comprehensive and Detailed Explanation
The correct solution is Option A. The key to this question is that the vulnerability is a zero-day (the CVE is not yet released). Therefore, you cannot hunt for known signatures, and tools that rely on public intelligence are useless. The only way to find it is to hunt for the behavior or TTPs (Tactics, Techniques, and Procedures) of its exploitation.
A critical XSS attack can often be used to achieve Remote Code Execution (RCE). The logical TTP for this would be:
* An external inbound connection to the web server (the exploit delivery).
* This connection causes the web server process to spawn a new subprocess (the payload, e.g., a reverse shell, whoami, or powershell.exe).
Option A perfectly describes a behavioral YARA-L rule to detect this exact time-ordered series of events.
By correlating an inbound NETWORK_CONNECTION with a subsequent PROCESS_LAUNCH from the same server and checking if that process is anomalous ("previously not seen"), you are effectively hunting for the post-exploitation behavior.
* Option B is incorrect: WSS is a vulnerability scanner that looks for known classes of vulnerabilities. It will not find a specific, unknown zero-day.
* Option C is incorrect: Gemini relies on public threat intelligence. If the CVE is not released, Gemini will not know about the vulnerability.
* Option D is incorrect: This is a generic C2 detection and is less specific than Option A. An exploit would also likely use low-prevalence or unusual binaries, not "high-prevalence" ones.
Exact Extract from Google Security Operations Documents:
YARA-L 2.0 language overview: YARA-L 2.0 is a computer language used to create rules for searching through your enterprise log data... A typical multiple event rule will have the following: A match section which specifies the time range over which events need to be grouped. A condition section specifying what condition should trigger the detection and checking for the existence of multiple events.
This allows an analyst to hunt for specific TTPs by correlating a time-ordered series of events. For example, a rule can be written to join a NETWORK_CONNECTION event (e.g., an external inbound connection) with a subsequent PROCESS_LAUNCH event on the same host... By enriching this with entity context, the detection can be scoped to trigger only when the spawned process is anomalous or previously not seen in the environment, indicating a likely post-exploitation activity, such as a web shell or remote code execution resulting from an exploit.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > Overview of the YARA-L 2.0 language Google Cloud Documentation: Google Security Operations > Documentation > Detections > Context-aware analytics
134. Frage
You are part of a cybersecurity team at a large multinational corporation that uses Google Security Operations (SecOps). 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 for the unknown C2s within the next 24 hours. What should you do?
Antwort: A
Begründung:
Comprehensive and Detailed 150 to 200 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to hunt for unknown C2 nodes. This implies that the indicators will not exist in any current threat intelligence feed. Therefore, Option C is incorrect as it only hunts for known IoCs. Option A is also incorrect as Security Health Analytics (SHA) is a posture management tool, not a threat hunting tool.
Option D describes a classic and effective hypothesis-driven threat hunt. Attackers frequently use Newly Registered Domains (NRDs) for their C2 infrastructure, as these domains have no established reputation and are not yet on blocklists.
Google Security Operations (SecOps) allows an engineer to write a YARA-L rule that joins real-time event data (UDM network traffic) with contextual data (the entity graph or a custom lookup). An engineer can ingest WHOIS data or a feed of NRDs as context. The YARA-L rule would then compare outbound network connections against this context, looking for any communication with domains registered within the last 30-
90 days. By executing this rule as a retrohunt, the engineer can scan all historical data to "generate a list of potential matches" for this high-risk, anomalous behavior, which is a strong indicator of unknown C2 activity.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Run a YARA-L retrohunt"; " Context-aware detections with entity graph")
135. Frage
Your company's SOC recently responded to a ransomware incident that began with the execution of a malicious document. EDR tools contained the initial infection. However, multiple privileged service accounts continued to exhibit anomalous behavior, including credential dumping and scheduled task creation. You need to design an automated playbook in Google Security Operations (SecOps) SOAR to minimize dwell time and accelerate containment for future similar attacks. Which action should you take in your Google SecOps SOAR playbook to support containment and escalation?
Antwort: B
Begründung:
To minimize dwell time and contain privileged account abuse in ransomware incidents, the SOAR playbook should revoke OAuth tokens and suspend sessions for high-privilege accounts based on entity risk. This action directly disrupts attacker persistence and lateral movement while automated escalation ensures timely response, reducing reliance on manual intervention.
136. Frage
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