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Google Security Operations Engineer (Beta) Sample Questions:

1. Which approach BEST improves detection of compromised service accounts in Google Cloud?

A) Alerting on login failures only
B) Disabling all service accounts You are managing the integration of Security Command Center (SCC) with downstream tooling.
C) Baseline service account behavior and alert on deviations
D) Monitoring VM uptime

2. 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?

A) Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it to map both fields to UDM.
B) Write a code snippet, and deploy it in a parser extension to map both fields to UDM.
C) Use the Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
D) Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.

3. Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using the least amount of effort. What should you do?

A) Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.
B) Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
C) Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
D) Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.

4. You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?

A) Use the match section of your detection logic to filter out irrelevant entities. Store the remaining entities as the risk_score variable.
B) Configure a feed in Google SecOps SIEM to ingest GTI data to automatically enrich the appropriate entities.
C) Create a Google SecOps SOAR playbook to query GTI that uses the VirusTotal integration to enrich the alert. Modify the risk_score context value to match.
D) Use the outcomes section of your detection logic to pull UDM enrichment fields from the event data. Apply logic to determine the total risk outcome, and store the risk score as the risk_score variable

5. You need to ingest audit logs from your organization's entire Google Cloud environment into Google Security Operations (SecOps). This process must include Cloud NAT logs for workloads within a designated folder. You need to configure this ingestion while minimizing integration complexity. You have already enabled Google Cloud data ingestion into Google SecOps. What should you do next?

A) Create a custom filter to export the project-level Cloud NAT logs for each project in the environment folder.
B) Configure an aggregated log sink at the folder level, and route the Cloud NAT logs to Pub/Sub. Enable the Pub/Sub connector for Google SecOps.
C) Create a custom filter to export the folder-level Cloud NAT logs.
D) Configure an aggregated log sink at the organization level, and route the Cloud NAT logs to a Cloud Storage bucket. Configure the Cloud Storage connector for Google SecOps.

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