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Google Security Operations Engineer (Beta) Sample Questions:

1. A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?

A) Weak endpoint protection
B) Missing email sandboxing
C) Lack of monitoring and restriction on OAuth consent grants
D) Missing antivirus signatures

2. You have identified a new threat actor group that has several IOCs in Google Threat Intelligence. You want to use some of these IOCs in several detection rules in Google Security Operations (SecOps) to help identify suspicious activity. You want to use the most effective approach. What should you do?

A) Add the IOCs to a new or existing reference list, and update the YARA-L logic of detection rules to include the reference list.
B) Save the IOCs in a new collection in Google Threat Intelligence. Share this list with other members of the security team to facilitate their searches and rule creation.
C) Identify the detection rules that apply to the new IOCS, and update the YARA-L logic to reference the threat actor group.
D) Configure a new data feed in Google SecOps that includes the IOCS. Update the YARA-L logic to reference the new IOCS against applicable UDM fields.

3. You are using a Google-managed image on a Compute Engine instance in Google Cloud to run an application. You need to ingest the application's log output into Google Security Operations (SecOps). The log output is standard and has a valid label and parser in Google SecOps. Your solution must minimize the cost and time required to move this data into Google SecOps. What should you do?

A) Deploy a Bindplane agent on the image to collect and send the logs to Google SecOps.
B) Use the Ops Agent embedded in the Compute Engine image to pull the logs into a Cloud Storage bucket. Create a feed in Google SecOps to ingest the logs.
C) Create a script on the workload that reads the logs and uses the Google SecOps Ingestion API to push them to Google SecOps.
D) Use the Ops Agent embedded in the Compute Engine image to pull the logs into Cloud Logging. Use the direct ingestion mechanism to ingest the logs from Google Cloud into Google SecOps.

4. You are ingesting and parsing logs from an SSO provider and an on-premises appliance using Google Security Operations (SecOps). Users are tagged as "restricted" by an internal process. Restrictions last five days from the most recent flagging time. You need to create a rule to detect when restricted users log into the appliance. Your solution must be quickly implemented and easily maintained. What should you do?

A) Store the flagged users in a data table column with their corresponding time to live values in a second column. Use row-based comparisons in your detection rule.
B) Use a Google SecOps SOAR global context value to store a list of flagged users with their corresponding time to live values. Use a SOAR job to dynamically build and deploy a new version of the detection rule with the updated list of flagged users.
C) Store the identifiers of the flagged users in the detection rule logic. Actively monitor for newly flagged users, and add them to the detection rule logic.
D) Ingest the user flags as custom enrichment data using a feed. Use a multi-event detection rule to find logins from users flagged in the entity graph.

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

Solutions: