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Google Security Operations Engineer (Beta) Sample Questions:

1. Your organization is a Google Security Operations (SecOps) customer. The compliance team requires a weekly export of case resolutions and SLA metrics of high and critical severity cases over the past week. The compliance team's post- processing scripts require this data to be formatted as tabular data in CSV files, zipped, and delivered to their email each Monday morning.
What should you do?

A) Build a detection rule with outcomes, and configure a Google SecOps SOAR job to format and send the report.
B) Generate a report in SOAR Reports, and schedule delivery of the report.
C) Build an Advanced Report in SOAR Reports, and schedule delivery of the report.
D) Use statistics in search, and configure a Google SecOps SOAR job to format and send the report.

2. 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?

A) Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.
B) Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
C) Create a YARA-L 2.0 rule to detect high-prevalence binaries on your web server architecture communicating with known command and control (C2) nodes. Review inbound traffic from those C2 domains that have only started appearing recently.
D) Create a YARA-L 2.0 rule to detect a time-ordered series of events where an external inbound connection to a server was followed by a process on the server that spawned subprocesses previously not seen in the environment.

3. 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) Deploy a third-party data pipeline management tool to ingest the logs, and transform the updated fields into fields supported by the default parser.
B) Use the web interface-based custom parser feature in Google SecOps to copy the parser, and modify it 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) Write a code snippet, and deploy it in a parser extension to map both fields to UDM.

4. You are investigating whether an advanced persistent threat (APT) actor has operated in your organization's environment undetected. You have received threat intelligence that includes:
- A SHA256 hash for a malicious DLL
- A known command and control (C2) domain
- A behavior pattern where rundll32.exe spawns powershell.exe with obfuscated arguments Your Google Security Operations (SecOps) instance includes logs from EDR, DNS, and Windows Sysmon. However, you have recently discovered that process hashes are not reliably captured across all endpoints due to an inconsistent Sysmon configuration. You need to use Google SecOps to develop a detection mechanism that identifies the associated activities. What should you do?

A) Build a reference list that contains the hash and domain, and link the list to a high-frequency rule for near real-time alerting.
B) Write a multi-event YARA-L detection rule that correlates the process relationship and hash, and run a retrohunt based on this rule.
C) Create a single-event YARA-L detection rule based on the file hash, and run the rule against historical and incoming telemetry to detect the DLL execution.
D) Use Google SecOps search to identify recent uses of rundll32.exe, and tag affected assets for watchlisting.

5. You are conducting a proactive threat hunt in Google Security Operations (SecOps). You observe multiple login events with the same principal.user.userid field that originate from different countries within a short time window. You need to validate whether the account has been compromised. What should you do?

A) Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
B) Perform a YARA-L 2.0 search for login events and their associated principal.location.country field. Use an outcome field to aggregate the number of failed logins.
C) Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.
D) Perform a UDM search for login events, and pivot to group results by user and country of origin.

Solutions: