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| Section | Objectives |
|---|---|
| Google Security Operations Platform | - Chronicle / Google SecOps SIEM usage
|
| Cloud Security Posture and Compliance | - Security configuration assessment
|
| Identity and Access Security | - IAM security monitoring
|
| Threat Detection and Incident Response | - Security incident investigation
|
| Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud Monitoring)
|
| Automation and Response | - Security orchestration and response
|
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NEW QUESTION # 124
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?
Answer: D
Explanation:
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")
NEW QUESTION # 125
You are a SOC manager guiding an implementation of your existing incident response plan (IRP) into Google Security Operations (SecOps). You need to capture time duration data for each of the case stages. You want your solution to minimize maintenance overhead. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
This requirement is a core, out-of-the-box feature of the Google SecOps SOAR platform. The solution with the minimal maintenance overhead is always the native, built-in one. The platform is designed to measure SOC KPIs (like MTTR) by tracking Case Stages.
A SOC manager first defines their organization's incident response stages (e.g., "Triage," "Investigation,"
"Remediation") in the SOAR settings. Then, as playbooks are built, the Change Case Stage action is added to the workflow. When a playbook runs, it triggers this action, and the SOAR platform automatically timestamps the exact moment a case transitions from one stage to the next.
This creates the precise time-duration data needed for metrics. This data is then automatically available for the built-in dashboards and reporting tools (as mentioned in Option A, which is the result of Option B). Option D (custom IDE job) and Option C (detection rule) are incorrect, high-maintenance, and non-standard ways to accomplish a task that is a fundamental feature of the SOAR platform.
(Reference: Google Cloud documentation, "Google SecOps SOAR overview"; "Get insights from dashboards and reports"; "Manage playbooks")
NEW QUESTION # 126
You work for an organization that uses Security Command Center (SCC) with Event Threat Detection (ETD) enabled. You need to enable ETD detections for data exfiltration attempts from designated sensitive Cloud Storage buckets and BigQuery datasets. You want to minimize Cloud Logging costs. What should you do?
Answer: C
Explanation:
To detect data exfiltration attempts from sensitive Cloud Storage buckets and BigQuery datasets using ETD, you only need "data read" audit logs. These logs capture access and read events (which indicate potential exfiltration). Enabling them only for the designated sensitive resources minimizes Cloud Logging costs while still providing the necessary visibility for detections.
NEW QUESTION # 127
You recently joined a company that uses Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You have alert fatigue from a recent red team exercise, and you want to reduce the amount of time spent sifting through noise. You need to filter out IoCs that you suspect were generated due to the exercise. What should you do?
Answer: B
Explanation:
The IOC Matches page is the central location in Google Security Operations (SecOps) for reviewing all IoCs that have been automatically correlated against your organization's UDM data. This page is populated by the Applied Threat Intelligence service, which includes feeds from Google, Mandiant, and VirusTotal.
When security exercises (like red teaming or penetration testing) are conducted, they often use known malicious tools or infrastructure that will correctly trigger IoC matches, creating "noise" and contributing to alert fatigue. The platform provides a specific function to manage this: muting.
An analyst can navigate to the IOC Matches page, use filters (such as time, as mentioned in Option B) to identify the specific IoCs associated with the red team exercise, and then select the Mute action for those IoCs. Muting is the correct operational procedure for suppressing known-benign or exercise-related IoCs.
This action prevents them from appearing in the main view and contributing to noise, while preserving the historical record of the match. Option D is a prioritization technique, not a suppression one.
(Reference: Google Cloud documentation, "View IoCs using Applied Threat Intelligence"; "View alerts and IoCs"; "Mute or unmute IoC") Here is the formatted answer as requested.
NEW QUESTION # 128
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?
Answer: D
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 # 129
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