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NEW QUESTION # 135
You are reviewing the security analyst team's playbook action process. Currently, security analysts navigate to the Playbooks tab in Google Security Operations (SecOps) for each alert and manually run steps assigned to a user. You need to present all actions from alerts awaiting user input in one location for the analyst to execute. What should you do?
Answer: C
Explanation:
The correct approach is to use the Pending Actions widget in the Default Case View. This widget consolidates all manual playbook actions that require analyst input, allowing them to be executed from a single location. This streamlines the workflow, reduces manual navigation, and ensures analysts don't miss pending steps across multiple alerts.
NEW QUESTION # 136
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: A
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 # 137
You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs.
What should you do?
Answer: B
Explanation:
To ensure the principal.user.userid field captures all relevant activity, you should ingest logs from Windows Sysmon. Sysmon provides detailed system activity, including process creation, network connections, and user context, which complements EDR and Windows Event logs, allowing YARA-L rules to match across all endpoint telemetry.
NEW QUESTION # 138
You are implementing Google Security Operations (SecOps) at your organization. You discover that the current detection rules are too noisy. Due to the high volume of alerts, some true positives might be missed.
You want to ingest additional context sources to reduce false positives in your security detections and to improve the overall positive ratio of the alerts. What should you do?
Answer: D
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option C . The objective is to tune a noisy alert queue, reduce alert fatigue, and improve the positive ratio by bringing in meaningful context data.
In Google Security Operations, ingesting context data from an enterprise Configuration Management Database (CMDB) or asset inventory enables the platform to enrich security telemetry with business impact markers, such as high-value assets (HVA) or criticality levels (e.g., asset.asset_type =
"CRITICAL_SERVER", asset.category = "PCI_CDE").
Detection engineers leverage this ingested context in YARA-L rules and SOAR scoring to filter out benign noise generated by lower-tier development or testing systems. By correlating behavior specifically with high- value targets, alerts are reprioritized and elevated only when sensitive systems are affected, effectively suppressing background noise and improving the signal-to-noise ratio.
* Option A is incorrect because simply ingesting more IoCs expands detection scope and can often increase alert volume and false matches rather than prioritizing and filtering based on internal context.
* Option B is incorrect because TTP descriptions from threat intel feeds do not serve as direct data feeds to filter telemetry within YARA-L rules.
* Option D is incorrect because dark web forum handles do not correlate with standard internal enterprise log telemetry.
Exact Extract from Google Security Operations Documents:
Context-aware detections and asset enrichment:
"You can enrich events with entity data, such as users and assets, to create context-aware detections. By ingesting asset context data from systems like CMDB, Active Directory, or Cloud Asset Inventory, Google SecOps can identify high-value assets (HVA) and critical infrastructure." Tuning rules with asset context:
"In YARA-L rules, you can join UDM events with asset context to adjust detection sensitivity, filter out events from non-critical devices, and dynamically escalate alert priority based on the criticality and business value of the affected asset. This contextual filtering significantly reduces false positives and ensures analysts focus on true-positive threats to essential business resources." References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > Context-aware analytics Google Cloud Documentation: Google Security Operations > Documentation > Event processing > UDM enrichment and aliasing overview
NEW QUESTION # 139
Your company requires PCI DSS v4.0 compliance for its cardholder data environment (CDE) in Google Cloud. You use a Security Command Center (SCC) security posture deployment based on the PCI DSS v4.0 template to monitor for configuration drift.1 This posture generates a finding indicating that a Compute Engine VM within the CDE scope has been configured with an external IP address. You need to take an immediate action to remediate the compliance drift identified by this specific SCC posture finding. What should you do?
Answer: C
Explanation:
Comprehensive and Detailed Explanation
The correct answer is Option C. The question asks for the immediate action to remediate the existing compliance drift, which is the VM that already has an external IP address.
* Option C (Remediate): Reconfiguring the VM's network interface to remove the external IP directly fixes the identified misconfiguration. This action brings the resource back into compliance, which will cause the Security Command Center finding to be automatically set to INACTIVE on its next scan.2
* Option A (Prevent): Applying the organization policy constraints/compute.vmExternalIpAccess is a preventative control.3 It will stop new VMs from being created with external IPs, but it is not retroactive and does not remove the external IP from the already existing VM. Therefore, it does not remediate the current finding.
* Option B (Mask): Removing the tag simply hides the resource from the posture scan. This is a violation of compliance auditing; it masks the problem instead of fixing it.
* Option D (Ignore): Marking a finding as fixed without actually fixing the underlying issue is incorrect and will not resolve the compliance drift. The finding will reappear as ACTIVE on the next scan.
Exact Extract from Google Security Operations Documents:
Finding deactivation after remediation: After you remediate a vulnerability or misconfiguration finding, the Security Command Center service that detected the finding automatically sets the state of the finding to INACTIVE the next time the detection service scans for the finding.4 How long Security Command Center takes to set a remediated finding to INACTIVE depends on the schedule of the scan that detects the findin5g.
Organization policy constraints: If enforced, the constraint constraints/compute.vmExternalIpAccess will deny the creation or update of VM instances with IPv4 external IP addresses.6 This constraint is not retroactive and will not restrict the usage of external IPs on existing VM instances. To remediate an existing VM, you must modify the instance's network interface settings and remove the external IP.
References:
Google Cloud Documentation: Security Command Center > Documentation > Manage findings > Vulnerability findings > Finding deactivation after remediation7 Google Cloud Documentation: Resource Manager > Documentation > Organization policy > Organization policy constraints > compute.vmExternalIpAccess
NEW QUESTION # 140
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