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Google Security-Operations-Engineer Exam Syllabus Topics:

SectionObjectives
Topic 1: Managing vulnerabilities and compliance- Compliance and governance
  • 1. Managing data retention and lifecycle policies
  • 2. Ensuring regulatory compliance for cloud environments
  • 3. Implementing compliance controls and audits
- Vulnerability management
  • 1. Managing patch deployment and updates
  • 2. Remediating security vulnerabilities
  • 3. Scanning for vulnerabilities in cloud resources
Topic 2: Detecting and responding to security threats- Detecting threats using cloud-native tools
  • 1. Detecting threats with Security Command Center
  • 2. Using Cloud Logging and Cloud Monitoring for threat detection
  • 3. Analyzing security findings and anomalies
- Responding to security incidents
  • 1. Performing forensic analysis on cloud resources
  • 2. Creating incident response procedures
  • 3. Implementing automated response actions
Topic 3: Automating security operations- Security automation and orchestration
  • 1. Building automated security workflows
  • 2. Creating playbooks for incident response
  • 3. Integrating security tools with automation platforms
Topic 4: Configuring and managing cloud security operations- Configuring cloud security monitoring
  • 1. Setting up alerting policies for security events
  • 2. Integrating security logs with SIEM solutions
  • 3. Configuring logging and monitoring for cloud services
- Managing security configurations
  • 1. Configuring VPC Service Controls
  • 2. Managing organization policies for security compliance
  • 3. Implementing security best practices for cloud resources

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q116-Q121):

NEW QUESTION # 116
You are a senior SOC analyst in your organization. You are receiving alerts of traffic to a command and control (C2) IP address. You want to use Google Security Operations (SecOps) to investigate the IP address associated with the C2 IP address. What should you do?

Answer: B

Explanation:
The most effective method is to conduct a Google SecOps SIEM Search using src.ip and target.ip to identify both outbound and inbound traffic associated with the C2 IP address. This approach gives you comprehensive visibility into all interactions with the suspicious IP, supporting a thorough investigation.


NEW QUESTION # 117
You have identified a new threat actor group that has several IOCs in Google Threat Intelligence.
You want to use some of these IOCs in several detection rules in Google Security Operations (SecOps) to help identify suspicious activity. You want to use the most effective approach. What should you do?

Answer: C

Explanation:
The most effective approach is to add the IOCs to a reference list in Google SecOps and then update the YARA-L logic of your detection rules to reference that list. This centralizes the IOCs for reuse across multiple rules, simplifies maintenance, and ensures consistency in detection logic without duplicating IOC entries in multiple places.


NEW QUESTION # 118
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: B

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 # 119
Which approach BEST improves detection of compromised service accounts in Google Cloud?

Answer: D

Explanation:
Service accounts rarely fail authentication; behavioral deviation detection is most effective.


NEW QUESTION # 120
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: B

Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
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 # 121
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