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Google GCP-SOE-B Exam Syllabus Topics:

Section	Objectives
Topic 1: Google Security Operations (Chronicle)	- Detection rules and analytics - Log ingestion and normalization - Threat hunting workflows
Topic 2: Security Operations Fundamentals	- Security monitoring and logging concepts - Threat detection and incident response lifecycle
Topic 3: SIEM and SOAR Operations	- Case management and response automation - Alert triage and investigation
Topic 4: Cloud Security Monitoring	- IAM and access anomaly detection - Google Cloud Logging and Monitoring integration

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Google Security Operations Engineer (Beta) Sample Questions (Q80-Q85):

NEW QUESTION # 80
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. 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.
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. 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.

Answer: B

NEW QUESTION # 81
You are implementing Google Security Operations (SecOps) with multiple log sources. You want to closely monitor the health of the ingestion pipeline's forwarders and collection agents, and detect silent sources within five minutes. What should you do?

A. Create a Looker dashboard that queries the BigQuery ingestion metrics schema for each log_type and collector_id.
B. Create a Google SecOps SIEM dashboard to show the ingestion metrics for each log_type and collector_id.
C. Create an ingestion notification for health metrics in Cloud Monitoring based on the total ingested log count for each collector_id.
D. Create a notification in Cloud Monitoring using a metric- absence condition based on sample policy for each collector_id.

Answer: D

NEW QUESTION # 82
You are managing a Google Security Operations (SecOps) implementation for a regional customer. Your customer informs you that logs are appearing in the platform after a consistent six-hour delay. After some research, you determine that there is a log time zone issue. You want to fix this problem. What should you do?

A. Modify the default parser and include a default time zone.
B. Create a parser extension to correct the time zone.
C. Modify the UI settings to correct the time zone.
D. Create a custom parser to correct the time zone.

Answer: B

NEW QUESTION # 83
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. Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
C. Ask the Gemini Agent in Google Security Operations (SecOps) to search for the latest vulnerabilities in the environment.
D. 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.

Answer: D

NEW QUESTION # 84
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 IDS logs
B. Security Command Center Premium (SCCP) findings
C. VPC Flow Logs
D. Cloud Audit Logs

Answer: C

NEW QUESTION # 85
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