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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data management | 14% | - Implement Unified Data Model (UDM) - Ingest and normalize logs and data - Manage data retention and storage - Validate data quality and completeness |
| Topic 2: Incident response | 21% | - Investigate security incidents - Develop and use response playbooks - Contain and eradicate threats - Automate response workflows |
| Topic 3: Threat hunting | 19% | - Use threat intelligence in hunting - Document and share findings - Analyze anomalies and behaviors - Design and execute threat hunts |
| Topic 4: Observability | 10% | - Improve security visibility - Report security posture and risks - Design monitoring and alerting strategies - Analyze telemetry and metrics |
| Topic 5: Platform operations | 14% | - Monitor platform health and performance - Configure Security Command Center - Manage Google Security Operations platform - Manage access and permissions |
| Topic 6: Detection engineering | 22% | - Manage detection lifecycle - Optimize detection logic and reduce false positives - Implement threat intelligence into detections - Develop detection rules (YARA-L, Sigma) |
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NEW QUESTION # 34
You are responsible for monitoring the ingestion of critical Windows server logs to Google Security Operations (SecOps) by using the Bindplane agent. You want to receive an immediate notification when no logs have been ingested for over 30 minutes. You want to use the most efficient notification solution. 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 most efficient and native solution is to use the Google Cloud operations suite. Google Security Operations (SecOps) automatically exports its own ingestion health metrics to Cloud Monitoring. These metrics provide detailed information about the logs being ingested, including log counts, parser errors, and event counts, and can be filtered by dimensions such as hostname.
To solve this, an engineer would navigate to Cloud Monitoring and create a new alert policy. This policy would be configured to monitor the chronicle.googleapis.com/ingestion/log_entry_count metric, filtering it for the specific hostname of the critical Windows server.
Crucially, Cloud Monitoring alerting policies have a built-in condition type for "metric absence." The engineer would configure this condition to trigger if no data points are received for the specified metric (logs from that server) for a duration of 30 minutes. When this condition is met, the policy will automatically send a notification to the desired channels (e.g., email, PagerDuty). This is the standard, out-of-the-box method for monitoring log pipeline health and requires no custom rules (Option B) or custom heartbeat configurations (Option C).
(Reference: Google Cloud documentation, "Google SecOps ingestion metrics and monitoring"; "Cloud Monitoring - Alerting on metric absence")
NEW QUESTION # 35
An organization detects a successful login to a Google Cloud IAM user from an unfamiliar country, followed by the creation of multiple new service account keys within minutes. No malware alerts are triggered. What is the MOST appropriate immediate action?
Answer: A
Explanation:
Rapid creation of service account keys after anomalous login strongly indicates identity compromise. Immediate containment is required to prevent persistence and escalation.
NEW QUESTION # 36
You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
* A SHA256 hash for a malicious DLL
* A known command and control (C2) domain
* A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon.
However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?
Answer: A
Explanation:
The core of this problem is the unreliable data quality for the file hash. A robust detection strategy cannot depend on an unreliable data point. Options B and C are weak because they create a dependency on the SHA256 hash, which the prompt states is "not reliably captured." This would lead to missed detections.
Option A is far too broad and would generate massive noise.
The best detection engineering practice is to use the reliable IoCs in a flexible and high-performance manner.
The domain is a reliable IoC (from DNS logs), and the hash is still a valuable IoC, even if it's only intermittently available.
The standard Google SecOps method for this is to create a List (referred to here as a "data table") containing both static IoCs: the hash and the domain. An engineer can then write a single, efficient YARA-L rule that references this list. This rule would trigger if either a PROCESS_LAUNCH event is seen with a hash in the list or a NETWORK_DNS event is seen with a domain in the list (e.g., (event.principal.process.file.sha256 in
%ioc_list) or (event.network.dns.question.name in %ioc_list)). This creates a resilient detection mechanism that provides two opportunities to identify the threat, successfully working around the unreliable data problem.
(Reference: Google Cloud documentation, "YARA-L 2.0 language syntax"; "Using Lists in rules"; "Detection engineering overview")
NEW QUESTION # 37
Your organization recently implemented Google Security Operations (SecOps) with Applied Threat Intelligence enabled. You were notified by the networking team about potentially anomalous communications to external domains in the last 30 days. You plan to start your threat hunting by looking at communications to external domains. You are ingesting the following logs into Google SecOps:
- Firewall logs
- Proxy logs
- DNS logs
- DHCP logs
What should you do? (Choose two.)
Answer: B,E
Explanation:
Running a UDM search for low-prevalence domains first seen in the last 30 days helps uncover potentially anomalous or malicious domains, since attackers often use newly registered or rarely seen domains for C2 or exfiltration.
Using the Risk Analytics dashboard allows you to identify domains with higher normalized risk scores. Drilling into those entities helps validate whether they are new, rare, or potentially tied to malicious activity.
NEW QUESTION # 38
You are configuring a new integration in Google Security Operations (SecOps) to perform enrichment actions in playbooks. This enrichment technology is located in a private data center that does not allow inbound network connections. You need to connect your Google SecOps instance to the integration. What should you do?
Answer: A
Explanation:
The correct approach is to create a remote agent in the private data center and configure the integration to run on that agent. Remote agents can initiate outbound connections to Google SecOps, enabling playbook enrichment without requiring inbound network access, which adheres to the private data center's network restrictions.
NEW QUESTION # 39
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