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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Professional Security Operations Engineer Exam |
| Exam Number: | Security-Operations-Engineer |
| Certificate Validity Period: | 2 years |
| Real Exam Qty: | 50-60 |
| Passing Score: | Not publicly disclosed (Pass/Fail only) |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | $200 USD (plus tax where applicable) |
| Available Languages: | English, Japanese |
| Related Certifications: | Google Cloud Certified - Professional Cloud Security Engineer |
| Recommended Training: | Official Exam Guide Google Cloud Skills Boost - Professional Security Operations Engineer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Security-Operations-Engineer Sample Questions |
| Exam Way: | Online-proctored (remote) or Onsite-proctored at authorized testing centers |
| Pre Condition: | No mandatory prerequisites; Recommended: 3+ years security industry experience, 1+ year hands-on with Google Cloud security tools |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/security-operations-engineer |
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NEW QUESTION # 124
Your organization recently adopted Google Security Operations (SecOps), and has configured ingestion, parsing and rules for their log sources. The security operations team is currently triaging alerts one at a time using several external product dashboards with alerts and enrichment data. You want to use the case management functionality in Google SecOps to reduce the amount of pivoting between products your SOC analysts are required to do. You want to minimize development effort. What should you do first?
Answer: C
Explanation:
The most efficient first step is to build a low-priority, catch-all playbook for enrichment of entities in a case using threat intelligence sources. This allows all cases to be automatically enriched with relevant context in Google SecOps, minimizing the need for analysts to pivot between external dashboards and reducing manual effort, without requiring extensive custom development per rule or source.
NEW QUESTION # 125
A SOC uses Chronicle SIEM and wants to reduce alert fatigue without lowering detection coverage. What is the BEST strategy?
Answer: B
Explanation:
Entity correlation and risk scoring preserve coverage while reducing noise.
NEW QUESTION # 126
You received an IOC from your threat intelligence feed that is identified as a suspicious domain used for command and control (C2). You want to use Google Security Operations (SecOps) to investigate whether this domain appeared in your environment. You want to search for this IOC using the most efficient approach.
What should you do?
Answer: B
Explanation:
The most efficient and reliable method to proactively search for a specific indicator (like a domain) in Google Security Operations is to perform a Universal Data Model (UDM) search. All ingested telemetry, including DNS logs and proxy logs, is parsed and normalized into the UDM. This allows an analyst to run a single, high- performance query against a specific, indexed field.
To search for a domain, an analyst would query a field such as network.dns.question.name or network.http.
hostname. Option B correctly identifies this as querying the "DNS section of the network noun." This approach is vastly superior to a raw log search (Option C), which is slow, inefficient, and does not leverage the normalized UDM data.
Option D (IOC Search/Matches) is a passive feature that shows automatic matches between your logs and Google's integrated threat intelligence. While it's a good place to check, a UDM search is the active, analyst- driven process for hunting for a new IoC that may have come from an external feed. Option A is a UI feature for grouping search results and is not the search method itself.
(Reference: Google Cloud documentation, "Google SecOps UDM Search overview"; "Universal Data Model noun list - Network")
NEW QUESTION # 127
You have a close relationship with a vendor who reveals to you privately that they have discovered a vulnerability in their web application that can be exploited in an XSS attack. This application is running on servers in the cloud and on-premises. Before the CVE is released, you want to look for signs of the vulnerability being exploited in your environment. What should you do?
Answer: B
Explanation:
Comprehensive and Detailed Explanation
The correct solution is Option A. The key to this question is that the vulnerability is a zero-day (the CVE is not yet released). Therefore, you cannot hunt for known signatures, and tools that rely on public intelligence are useless. The only way to find it is to hunt for the behavior or TTPs (Tactics, Techniques, and Procedures) of its exploitation.
A critical XSS attack can often be used to achieve Remote Code Execution (RCE). The logical TTP for this would be:
* An external inbound connection to the web server (the exploit delivery).
* This connection causes the web server process to spawn a new subprocess (the payload, e.g., a reverse shell, whoami, or powershell.exe).
Option A perfectly describes a behavioral YARA-L rule to detect this exact time-ordered series of events.
By correlating an inbound NETWORK_CONNECTION with a subsequent PROCESS_LAUNCH from the same server and checking if that process is anomalous ("previously not seen"), you are effectively hunting for the post-exploitation behavior.
* Option B is incorrect: WSS is a vulnerability scanner that looks for known classes of vulnerabilities. It will not find a specific, unknown zero-day.
* Option C is incorrect: Gemini relies on public threat intelligence. If the CVE is not released, Gemini will not know about the vulnerability.
* Option D is incorrect: This is a generic C2 detection and is less specific than Option A. An exploit would also likely use low-prevalence or unusual binaries, not "high-prevalence" ones.
Exact Extract from Google Security Operations Documents:
YARA-L 2.0 language overview: YARA-L 2.0 is a computer language used to create rules for searching through your enterprise log data... A typical multiple event rule will have the following: A match section which specifies the time range over which events need to be grouped. A condition section specifying what condition should trigger the detection and checking for the existence of multiple events.
This allows an analyst to hunt for specific TTPs by correlating a time-ordered series of events. For example, a rule can be written to join a NETWORK_CONNECTION event (e.g., an external inbound connection) with a subsequent PROCESS_LAUNCH event on the same host... By enriching this with entity context, the detection can be scoped to trigger only when the spawned process is anomalous or previously not seen in the environment, indicating a likely post-exploitation activity, such as a web shell or remote code execution resulting from an exploit.
References:
Google Cloud Documentation: Google Security Operations > Documentation > Detections > Overview of the YARA-L 2.0 language Google Cloud Documentation: Google Security Operations > Documentation > Detections > Context-aware analytics
NEW QUESTION # 128
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: C
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 # 129
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