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Google Security Operations Engineer (Beta) Sample Questions:

1. You scheduled a Google Security Operations (SecOps) report to export results to a BigQuery dataset in your Google Cloud project. The report executes successfully in Google SecOps, but no data appears in the dataset. You confirmed that the dataset exists. How should you address this export failure?

A) Grant the Google SecOps service account the roles/iam.serviceAccountUser IAM role to itself.
B) Grant the user account that scheduled the report the roles/bigquery.dataEditor IAM role on the project.
C) Set a retention period for the BigQuery export.
D) Grant the Google SecOps service account the roles/bigquery.dataEditor IAM role on the dataset.

2. Your company uses Security Command Center (SCC) and Google Security Operations (SecOps). Last week, an attacker attempted to establish persistence by generating a key for an unused service account. You need to confirm that you are receiving alerts when keys are created for unused service accounts and that newly created keys are automatically deleted. You want to minimize the amount of manual effort required. What should you do?

A) Configure a Cloud Logging sink to write logs to a Pub/Sub topic that filters for the methodName: "google.iam.admin.v1.CreateServiceAccountKey" field. Create a Cloud Run function that subscribes to the Pub/Sub topic and deletes the service account key.
B) Use the Initial Access: Dormant Service Account Key Created finding from SCC, and ingest this finding into Google SecOps. Create a custom action in Google SecOps SOAR that is triggered on this finding. Use the built-in IDE to build code to delete the service account key.
C) Use the Initial Access: Dormant Service Account Key Created finding from SCC, and write this finding to a Pub/Sub topic. Create a Cloud Run function that subscribes to the Pub/Sub topic and deletes the service account key.
D) Generate a YARA-L rule in Google SecOps that detects when a service account key is created. Using the built-in IDE, create a custom action in Google SecOps SOAR that deletes the service account key.

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

4. You use Google Security Operations (SecOps) curated detections and YARA-L rules to detect suspicious activity on Windows endpoints. Your source telemetry uses EDR and Windows Events logs. Your rules match on the principal.user.userid UDM field. You need to ingest an additional log source for this field to match all possible log entries from your EDR and Windows Event logs. What should you do?

A) Ingest logs from Windows Procmon.
B) Ingest logs from Windows PowerShell.
C) Ingest logs from Windows Sysmon.
D) Ingest logs from Microsoft Entra I

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 Extract Additional Fields tool in Google SecOps to convert the raw log entries to additional fields.
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) 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: