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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Security Operations Engineer Exam |
| Exam Number: | Professional Security Operations Engineer (PSO Engineer) |
| Related Certifications: | Google Cloud Certified - Professional Cloud Security Engineer Google Cloud Certified - Associate Cloud Engineer |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD (may vary by region) |
| Available Languages: | English, Japanese |
| Real Exam Qty: | Approximately 50–60 questions |
| Exam Format: | Multiple select, Multiple choice |
| Exam Duration: | 120 minutes |
| Recommended Training: | Google Cloud Security Operations Training Google Cloud Security Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration Kryterion Webassessor Exam Scheduling |
| Sample Questions: | Google Security-Operations-Engineer Sample Questions |
| Exam Way: | Online proctored or test center (Kryterion/Webassessor) |
| Pre Condition: | Recommended: 3+ years industry experience in security operations or SOC roles, and 1+ year experience with Google Cloud security technologies |
| Official Syllabus URL: | https://cloud.google.com/certification/security-operations-engineer |
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NEW QUESTION # 141
You are responsible for identifying suspicious activity and security events in your organization's environment.
You discover that some detection rules are generating false positives when the principal.ip field contains one or more IP addresses in the 192.168.2.0/24 subnet. You want to improve these detection rules using the principal.ip repeated field. What should you add to the YARA-L detection rules?
Answer: A
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option D. The goal is to exclude events (i.e., stop false positives) when the principal.
ip field contains any IP from the trusted 192.168.2.0/24 subnet.
The principal.ip field in UDM is a repeated field, meaning it can hold an array of values (e.g., ["1.2.3.4",
"192.168.2.5"]). YARA-L provides the any and all quantifiers to handle repeated fields.9
* any $e.principal.ip: This checks if at least one IP in the array meets the condition.
* all $e.principal.ip: This checks if every IP in the array meets the condition.
The function net.ip_in_range_cidr(...) returns true if an IP is in the specified range.
Therefore, the logic we need is: "do not trigger this rule if any of the IPs in the principal.ip field are in the
192.168.2.0/24 range."
This translates directly to the YARA-L syntax: not net.ip_in_range_cidr(any $e.principal.ip, "192.168.2.0/24")
* Option B would only find events from that subnet.
* Option A would only find events where all associated IPs are in that subnet.
* Option C is the logical inverse of A and would incorrectly filter out events that might be malicious (e.
g., ["1.2.3.4", "192.168.2.5"] would not be excluded because all IPs are not in the range).
Exact Extract from Google Security Operations Documents:
YARA-L 2.0 language syntax > Repeated fields and boolean expressions: When a boolean expression, such as a function call, is applied to a repeated field, you can use the any or all keywords to specify how the expression should be evaluated.10
* any <repeated_field>: The expression evaluates to true if it is true for at least one of the values in the repeated field.
* all <repeated_field>: The expression evaluates to true only if it is true for all of the values in the repeated field.
Functions > net.ip_in_range_cidr: The net.ip_in_range_cidr function is useful to bind rules to specific parts of the network.11 To exclude all private netblocks as defined in RFC1918, you can add a not to the start of the criteria:
and not (net.ip_in_range_cidr(any $e.principal.ip, "10.0.0.0/8") or net.ip_in_range_cidr(any $e.principal.ip,
"172.16.0.0/12") or net.ip_in_range_cidr(any $e.principal.ip, "192.168.0.0/16")) References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > YARA-L 2.0 language syntax Google Cloud Documentation: Google Security Operations > Documentation > Detections > YARA-L 2.0 functions > net.ip_in_range_cidr
NEW QUESTION # 142
Your organization uses Google Security Operations (SecOps) for security analysis and investigation. Your organization has decided that all security cases related to Data Loss Prevention (DLP) events must be categorized with a defined root cause specific to one of five DLP event types when the case is closed in Google SecOps. How should you achieve this?
Answer: D
Explanation:
The correct solution is to customize the Close Case dialog in Google SecOps to include the five defined DLP event types as selectable root cause options. This enforces consistent categorization at case closure, ensuring analysts must assign the correct DLP event type root cause before completing the workflow.
NEW QUESTION # 143
You are using Google Security Operations (SecOps) to identify and report a repetitive sequence of brute force SSH login attempts on a Compute Engine image that did not result in a successful login. You need to gain visibility into this activity while minimizing impact on your ingestion quota.
Which log type should you ingest into Google SecOps?
Answer: B
Explanation:
VPC Flow Logs provide network-level visibility into traffic such as repetitive SSH connection attempts, regardless of login success. Ingesting VPC Flow Logs lets you identify brute force patterns while minimizing ingestion volume, since you don't need full authentication logs or Cloud Audit Logs for unsuccessful login attempts. This approach gives you the necessary insight into SSH brute force activity without high log ingestion costs.
NEW QUESTION # 144
You are a security analyst at an organization that uses Google Security Operations (SecOps).
You have identified a new IP address that is known to be used by a malicious threat actor to launch network attacks. You need to search for this IP address in Google SecOps using all normalized logs to determine whether any malicious activity has occurred. You want to use the most effective approach. What should you do?
Answer: B
Explanation:
The most effective way to search across all normalized logs in Google SecOps is to use UDM searches with YARA-L 2.0 syntax. This ensures that the IP address is matched across all normalized log sources in a consistent format.
NEW QUESTION # 145
You are a security engineer at a financial technology company. You need to create a centralized dashboard to provide security posture visibility for your leadership team. The dashboard must meet these requirements:
- Provide insights from Security Command Center (SCC) findings and security-related events captured in Cloud Logging.
- Support large volumes of historical data.
- Be able to join SCC findings and audit logs.
You want to use the most effective visualization solution that uses Google Cloud managed services. What should you do?
Answer: C
Explanation:
The most effective approach is to export SCC findings and Cloud Audit Logs into BigQuery, which supports large-scale storage and querying of historical data. You can then connect Looker Studio to BigQuery to create a centralized dashboard that visualizes and joins SCC findings with audit logs. This leverages fully managed Google Cloud services and provides scalability, flexibility, and real-time reporting for leadership visibility.
NEW QUESTION # 146
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