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Google Security Operations Engineer (Beta) Sample Questions:

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

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

3. 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) 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.
B) Run a YARA-L retrohunt rule that detects users who are logging in from multiple regions using multiple entity contexts.
C) Use the entity graph to correlate the user's risk score with linked assets, and review any active alerts.
D) Perform a UDM search for login events, and pivot to group results by user and country of origin.

4. 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) 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.
B) Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.
C) 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.
D) Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.

5. Your company uses Google Security Operations (SecOps) Enterprise and is ingesting various logs. You need to proactively identify potentially compromised user accounts. Specifically, you need to detect when a user account downloads an unusually large volume of data compared to the user's established baseline activity. You want to detect this anomalous data access behavior using the least amount of effort. What should you do?

A) Develop a custom YARA-L detection rule in Google SecOps that counts download bytes per user per hour and triggers an alert if a threshold is exceeded.
B) Enable curated detection rules for User and Endpoint Behavioral Analytics (UEBA), and use the Risk Analytics dashboard in Google SecOps to identify metrics associated with the anomalous activity.
C) Inspect Security Command Center (SCC) default findings for data exfiltration in Google SecOps.
D) Create a log-based metric in Cloud Monitoring, and configure an alert to trigger if the data downloaded per user exceeds a predefined limit. Identify users who exceed the predefined limit in Google SecOps.

Solutions: