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NEW QUESTION # 99
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: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
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 # 100
You are the lead engineer on your organization's incident response team. You are running CrowdStrike Falcon and SentinelOne to protect the Windows devices in different regions of your organization. You are ingesting the following logs into Google Security Operations (SecOps):
- Azure AD Directory Audit (AZURE_AD_AUDIT)
- Crowdstrike Falcon (CS_EDR)
- Microsoft Sysmon (WINDOWS_SYSMON)
- SentinelOne (SENTINEL_EDR)
- Windows Event (WINEVTLOG)
You notice that a high volume of ransomware incidents are impacting your team's SLAs. You need to automate the response to ransomware on Windows devices. How should you automate the detection and containment of ransomware incidents? (Choose two.)
Answer: C,D
Explanation:
Enabling the Windows Threats category in curated detections ensures that the latest ransomware and other Windows-specific threats are automatically detected without creating custom rules, improving detection speed.
Installing SOAR EDR integrations allows automated containment actions (e.g., isolating impacted endpoints). Creating a playbook based on these curated detections automates response to ransomware incidents, reducing SLA impact and manual effort.
NEW QUESTION # 101
Your Google Security Operations (SecOps) SOAR integration with Security Command Center (SCC) uses a service account that currently has read access to the findings at the organization level. Google SecOps SOAR successfully reads SCC finding data, but actions attempting to update the finding states consistently fail with a permission denied error. You need to resolve this error while following the principle of least privilege. What should you do?
Answer: D
Explanation:
To allow Google SecOps SOAR to update SCC findings while adhering to least privilege, you should grant the service account the roles/securitycenter.findingsEditor IAM role at the organization level. This role permits modifying the state of findings without granting broader administrative privileges.
NEW QUESTION # 102
You need to augment your organization's existing Security Command Center (SCC) implementation with additional detectors. You have a list of known IoCs and would like to include external signals for this capability to ensure broad detection coverage. What should you do?
Answer: A
Explanation:
The correct solution is to create an Event Threat Detection (ETD) custom module. ETD is the Security Command Center (SCC) service designed to analyze logs for active threats, anomalies, and malicious behavior. The user's requirement is to use a list of known Indicators of Compromise (IoCs) and external signals, which directly aligns with the purpose of ETD.
In contrast, Security Health Analytics (SHA), mentioned in options A and B, is a posture management service. SHA custom modules are used to detect misconfigurations and vulnerabilities in resource settings, not to analyze log streams for threat activity based on IoCs.
Event Threat Detection provides pre-built templates for creating custom modules to simplify the detection engineering process. The "Configurable Bad IP" template is specifically designed for this exact use case. It allows an organization to upload and maintain a list of known malicious IP addresses (a common form of external IoC). ETD will then continuously scan relevant log sources, such as VPC Flow Logs, Cloud DNS logs, and Cloud NAT logs. If any activity to or from an IP address on this custom list is detected, ETD automatically generates a CONFIGURABLE_BAD_IP finding in Security Command Center for review and response. This approach is the native, efficient, and supported method for integrating IP-based IoCs into SCC, unlike option D which requires building a complex, manual pipeline.
(Reference: Google Cloud documentation, "Overview of Event Threat Detection custom modules"; "Using Event Threat Detection custom module templates")
NEW QUESTION # 103
You are responsible for identifying suspicious activity and security events in your organization's environment. You discover that some detection rules are being triggered for internal IP addresses in the 192.0.2.0/8 subnet that are causing false positive alerts. You want to improve these detection rules. What should you add to the YARA-L detection rules?
Answer: D
Explanation:
To reduce false positives from internal IP addresses in the 192.0.2.0/8 subnet, you need to exclude them in the detection rule. The correct syntax is to use not net.ip_in_range_cidr(any Se.principal.ip, "192.0.2.0/8"). This ensures that alerts are not triggered for events originating from internal addresses while still detecting truly suspicious external activity.
NEW QUESTION # 104
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