Google GCP-SOE-B

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Google Security Operations Engineer (Beta) Sample Questions:

1. You are responsible for evaluating the level of effort required to integrate a new third-party endpoint detection tool with Google Security Operations (SecOps). Your organization's leadership wants to minimize customization for the new tool for faster deployment. You need to verify that the Google SecOps SOAR and SIEM support the expected workflows for the new third-party tool.
You must recommend a tool to your leadership team as quickly as possible. What should you do? (Choose two.)

A) Review the documentation to identify if default parsers exist for the tool, and determine whether the logs are supported and able to be ingested.
B) Review the architecture of the tool to identify the cloud provider that hosts the tool.
C) Develop a custom integration that uses Python scripts and Cloud Run functions to forward logs and orchestrate actions between the third-party tool and Google SecOps.
D) Identify the tool in the Google SecOps Marketplace and verify support for the necessary actions in the workflow.
E) Configure a Pub/Sub topic to ingest raw logs from the third-party tool and build custom YARA-L rules in Google SecOps to extract relevant security events.

2. 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?

A) Configure a rule exclusion for the target.domain field.
B) Configure a rule exclusion for the network.asset.ip field.
C) Configure a rule exclusion for the principal.ip field.
D) Configure a rule exclusion for the target.ip field.

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

4. You are tasked with building a workflow in Google Security Operations (SecOps) SOAR. The documentation you are using requires a logical split that has eight different possible paths. You need to break the workflow into eight separate workflows using an automatic and efficient approach. What should you do?

A) Create eight playbooks for each workflow. Create a job that identifies your recently opened cases, applies the needed logic to determine which of the eight workflows should be attached, and attaches that workflow to the alert.
B) Create eight playbooks for each workflow. Configure the triggered playbook to end on an instruction action that tells the analyst to pick a workflow from the playbooks tab and attach that workflow to the alert.
C) Create a playbook that uses a Multi-Choice Question answer choices. Add instructions describing which logic to use in the instruction or question fields. Have the analyst select the appropriate answer to move the flow into the right branch.
D) Create a playbook that uses a flow condition. Add four more branches to have a total of five branches and an "Else" branch. On the "Else" branch, include another flow condition. Include the remaining three branches with the logic required.

5. Your team has onboarded a new log source from a third-party DNS filtering solution. After ingestion, you observe that key UDM fields such as network.dns.questions.name and metadata.product_event_type are missing from the parsed events in Google Security Operations (SecOps). You suspect that the default parser does not fully align with the source format. You need to ensure these fields are available for downstream detection rules that rely on DNS query telemetry and event categorization. What should you do?

A) Enable asset enrichment for the log source to infer missing fields based on correlated host activity.
B) Modify the ingestion source definition to remap raw fields directly to UDM by using the UDM sample output.
C) Use a custom parser that outputs all fields as raw JSON for detection.
D) Create a parser extension that maps the missing source fields to the correct UDM fields and attach it to the existing parser.

Solutions: