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Google Security-Operations-Engineer Exam Syllabus Topics:

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

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Google Cloud Certified - Professional Security Operations Engineer (PSOE) Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
You are using Google Security Operations (SecOps) to investigate suspicious activity linked to a specific user. You want to identify all assets the user has interacted with over the past seven days to assess potential impact. Your need to understand the user's relationships to endpoints, service accounts, and cloud resources. How should you identify user-to-asset relationships in Google SecOps?

Answer: A

Explanation:
The correct approach is to query UDM Search for hostnames (or other asset identifiers) and filter results by the specific user. UDM normalizes logs into a common schema, allowing you to trace the user's interactions across endpoints, service accounts, and cloud resources within the seven- day window. This provides a comprehensive view of user-to-asset relationships for impact assessment.


NEW QUESTION # 89
Your company wants to enhance its detection capabilities to prevent insider threat incidents. You need to be alerted when a privileged Google Group is modified to allow access to the general public. You need to identify and enable the optimal log source, and configure the alert. What should you do?

Answer: C

Explanation:
To detect insider threats involving Google Group privilege modifications, you need Google Workspace Admin Audit logs, which capture group membership and sharing changes. By enabling data sharing of these logs with SCC and ensuring Event Threat Detection (ETD) is enabled, SCC will automatically generate findings for risky modifications, such as making a privileged group publicly accessible. This provides the optimal log source and automated alerting with minimal effort.


NEW QUESTION # 90
You are writing a Google Security Operations (SecOps) SOAR playbook that uses the VirusTotal v3 integration to look up a URL that was reported by a threat hunter in an email. You need to use the results to make a preliminary recommendation on the maliciousness of the URL and set the severity of the alert based on the output. What should you do? (Choose two.)

Answer: A,D

Explanation:
Use the number of detections returned in the VirusTotal JSON response in a conditional statement to programmatically determine the severity of the alert. This quantifies the threat level based on multiple vendor detections.
Implement a conditional statement to classify the URL as suspicious or benign based on the VirusTotal results. This enables the playbook to provide a preliminary recommendation and guide subsequent analyst actions.


NEW QUESTION # 91
Which approach BEST improves detection of compromised service accounts in Google Cloud?

Answer: C

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


NEW QUESTION # 92
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:
Comprehensive and Detailed Explanation
The correct solution is Option B. This is a common false positive tuning scenario.
The "high priority network indicators" rule set triggers when it sees a connection to or from a known- malicious IP or domain. The problem states the false positives are coming from the on-premises proxy servers.
This implies that the proxy server itself is initiating traffic that matches these indicators. This is often benign, legitimate behavior, such as:
* Resolving a user-requested malicious domain via DNS to check its category.
* Performing an HTTP HEAD request to a malicious URL to scan it.
* Fetching its own threat intelligence or filter updates.
In all these cases, the source of the network connection is the proxy server. In the Unified Data Model (UDM), the source IP of an event is stored in the principal.ip field.
To eliminate these false positives, you must create a rule exclusion (or add a not condition to the rule) that tells the detection engine to ignore any events where the principal.ip is the IP address of your trusted proxy servers. This will not affect the rule's ability to catch a workstation behind the proxy (whose IP would be the principal.ip) connecting through the proxy to a malicious target.ip.
Exact Extract from Google Security Operations Documents:
Curated detection exclusions: Curated detections can be tuned by creating exclusions to reduce false positives from known-benign activity. You can create exclusions based on any UDM field.
Tuning Network Detections: A common source of false positives for network indicator rules is trusted network infrastructure, such as proxies or DNS servers. This equipment may generate traffic to malicious domains or IPs as part of its normal operation (e.g., DNS resolution, content filtering lookups). In this scenario, the traffic originates from the infrastructure device itself. To filter this noise, create an exclusion where the principal.ip field matches the IP address (or IP range) of the trusted proxy server. This prevents the rule from firing on the proxy's administrative traffic while preserving its ability to detect threats from end-user systems.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > Curated detections > Tune curated detections with exclusions Google Cloud Documentation: Google Security Operations > Documentation > Detections > Overview of the YARA-L 2.0 language


NEW QUESTION # 93
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