Pro Security Operations Engineer (SECURITY-OPERATIONS-ENGINEER) - Google Cloud Actual Exam Questions
Last updated on May 14, 2026
You are a security operations engineer in an enterprise that uses Google Security Operations (SecOps). You need to improve your detection coverage and reduce the false positive detection ratio as quickly as possible. What should you do?
Enable curated detections to identify threats.
Ingest data from your threat intelligence platform (TIP) into Google SecOps.
Develop YARA-L detection rules that focus on threat intelligence.
Design YARA-L detection rules based on Google SecOps Marketplace use cases.
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You are developing a new detection rule in Google Security Operations (SecOps). You are defining the YARA-L logic that includes complex event, match, and condition sections. You need to develop and test the rule to ensure that the detections are accurate before the rule is migrated to production. You want to minimize impact to production processes. What should you do?
Develop the rule logic in the UDM search, review the search output to inform changes to filters and logic, and copy the rule into the Rules Editor.
Use Gemini in Google SecOps to develop the rule by providing a description of the parameters and conditions, and transfer the rule into the Rules Editor.
Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule using the test rule feature.
Develop the rule in the Rules Editor, define the sections of the rule logic, and test the rule by setting it to live but not alerting. Run a YARA-L retrohunt from the rules dashboard.
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You are conducting proactive threat hunting in your company's Google Cloud environment. You suspect that an attacker compromised a developer's credentials and is attempting to move laterally from a development Google Kubernetes Engine (GKE) cluster to critical production systems. You need to identify IoCs and prioritize investigative actions by using Google Cloud's security tools before analyzing raw logs in detail. What should you do next?
In the Security Command Center (SCC) console, apply filters for the cluster and analyze the resulting aggregated findings' timeline and details for IoCs. Examine the attack path simulations associated with attack exposure scores to prioritize subsequent actions.
Review threat intelligence feeds within Google Security Operations (SecOps), and enrich any anomalies with context on known IoCs, attacker tactics, techniques, and procedures (TTPs), and campaigns.
Investigate Virtual Machine (VM) Threat Detection findings in Security Command Center (SCC). Filter for VM Threat Detection findings to target the Compute Engine instances that serve as the nodes for the cluster, and look for malware or rootkits on the nodes.
Create a Google SecOps SOAR playbook that automatically isolates any GKE resources exhibiting unusual network connections to production environments and triggers an alert to the incident response team.
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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?
Configure a rule exclusion for the target.ip field.
Configure a rule exclusion for the principal.ip field.
Configure a rule exclusion for the network.asset.ip field.
Configure a rule exclusion for the target.domain field.
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Your organization's Google Security Operations (SecOps) tenant is ingesting a vendor's firewall logs in its default JSON format using the Google-provided parser for that log. The vendor recently released a patch that introduces a new field and renames an existing field in the logs. The parser does not recognize these two fields and they remain available only in the raw logs, while the rest of the log is parsed normally. You need to resolve this logging issue as soon as possible while minimizing the overall change management impact. What should you do?
Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
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