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Google Security Operations Engineer (Beta) Sample Questions:

1. You work for an organization that operates an ecommerce platform. You have identified a remote shell on your company's web host. The existing incident response playbook is outdated and lacks specific procedures for handling this attack. You want to create a new, functional playbook that can be deployed as soon as possible by junior analysts. You plan to use available tools in Google Security Operations (SecOps) to streamline the playbook creation process. What should you do?

A) Create a new custom playbook based on industry best practices, and work with an offensive security team to test the playbook against a simulated remote shell alert.
B) Use Gemini to generate a playbook based on a template from a standard incident response plan and implement automated scripts to filter network traffic based on known malicious IP addresses.
C) Use the playbook creation feature in Gemini, and enter details about the intended objectives. Add the necessary customizations for your environment, and test the generated playbook against a simulated remote shell alert.
D) Add instruction actions to the existing incident response playbook that include updated procedures with steps that should be completed. Have a senior analyst build out the playbook to include those new procedures.

2. 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?

A) Cloud Audit Logs
B) VPC Flow Logs
C) Security Command Center Premium (SCCP) findings
D) Cloud IDS logs

3. You observe several distinct, low-severity suspicious activities associated with a single internal server. You determine that no single event is a high-confidence IO You need to create a solution that ensures ongoing and heightened scrutiny for this server. What should you do?

A) Add the server to a Google Security Operations (SecOps) watchlist, and monitor the watchlist closely for the next few weeks.
B) Create a case, isolate the server from the network, and escalate the case for forensic investigation.
C) Schedule a daily Google Security Operations (SecOps) report detailing all activity on this server.
D) Develop a YARA-L detection rule specific to this server.

4. You are using Google Security Operations (SecOps) to hunt for signs of lateral movement through Remote Desktop Protocol (RDP) in your organization. You suspect that a compromised account was used to access multiple internal systems within a short time window. You want to construct a UDM-based search to identify this activity. How should you build this query? (Choose two.)

A) Group events by user identity and time to identify repeated access patterns.
B) Filter for events using protocol-level attributes that indicate RDP connections.
C) Correlate events based on the asset role or classification such as database or user workstation.
D) Use a saved search to identify all events with the LATERAL MOVEMENT tag over the past 30 days.
E) Filter for RDP connections with non-standard ports.

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

Solutions: