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| Section | Weight | Objectives |
|---|---|---|
| Incident response | 21% | - Investigate security incidents - Develop and use response playbooks - Automate response workflows - Contain and eradicate threats |
| Data management | 14% | - Ingest and normalize logs and data - Validate data quality and completeness - Implement Unified Data Model (UDM) - Manage data retention and storage |
| Threat hunting | 19% | - Design and execute threat hunts - Analyze anomalies and behaviors - Use threat intelligence in hunting - Document and share findings |
| Detection engineering | 22% | - Develop detection rules (YARA-L, Sigma) - Optimize detection logic and reduce false positives - Manage detection lifecycle - Implement threat intelligence into detections |
| Platform operations | 14% | - Configure Security Command Center - Manage Google Security Operations platform - Manage access and permissions - Monitor platform health and performance |
| Observability | 10% | - Report security posture and risks - Design monitoring and alerting strategies - Improve security visibility - Analyze telemetry and metrics |
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NEW QUESTION # 65
A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?
Answer: A
Explanation:
OAuth abuse bypasses malware controls and depends on identity and consent misconfigurations.
NEW QUESTION # 66
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 The existing incident response playbook is outdated and lacks specific procedures for handling this attack.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 # 67
Your organization recently acquired a Google Security Operations (SecOps) Enterprise Plus license. Your organization is already ingesting Cloud Audit Logs, firewall logs, proxy logs and endpoint logs, but there are no threat intelligence feeds being ingested into your Google SecOps environment. You need to design and deploy a solution that alerts your team quickly if an IOC of an active breach is observed in your environment. What should you do?
Answer: D
Explanation:
The fastest and most effective way to alert on IOCs in Google SecOps is to enable and configure curated detection rule sets. These curated rules are maintained by Google and automatically updated with the latest threat intelligence, ensuring that if an IOC from an active breach is observed in your ingested logs, your team will receive alerts without the need to manually create or maintain custom rules.
NEW QUESTION # 68
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 effort required by the SOC analyst. What should you do?
Answer: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to *automate* the extraction of data to *minimize analyst effort*. This is a core function of Google Security Operations SOAR (formerly Siemplify). The **Siemplify integration** provides the foundational playbook actions for case management and entity manipulation.
The **`Create Entity`** action is designed to programmatically add new entities (like users, IPs, or domains) to the active case. To make this action automatic, the playbook developer must use the **Expression Builder**. The Expression Builder is the tool used to parse the JSON output from a previous action (the UDM query) and dynamically map the results (the list of usernames) into the parameters of a subsequent action.
By using the Expression Builder to configure the `Entities Identifier` parameter of the `Create Entity` action, the playbook automatically extracts all `principal.user.userid` fields from the UDM query results and adds them to the case. These new entities can then be automatically passed to the next playbook step, such as
"Reset Password."
Options A and C are incorrect because they are **manual** actions. They require an analyst to intervene, which does *not* minimize effort. Option D is incorrect as it creates multiple, unnecessary cases, flooding the queue instead of enriching the single, original phishing case.
*(Reference: Google Cloud documentation, "Google SecOps SOAR Playbooks overview"; "Using the Expression Builder"; "Marketplace and Integrations")*
***
NEW QUESTION # 69
Your organization uses the curated detection rule set in Google Security Operations (SecOps) for high priority network indicators. You are finding a vast number of false positives coming from your on-premises proxy servers. You need to reduce the number of alerts. What should you do?
Answer: D
Explanation:
Since the false positives are originating from your on-premises proxy servers, you should exclude their IPs from triggering alerts. In Google SecOps curated detections, the network.asset.ip field represents the IP address of the internal asset generating traffic. Configuring a rule exclusion on this field ensures that alerts from the proxy server IPs are suppressed, reducing false positives without affecting other detections.
NEW QUESTION # 70
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