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Google GCP-SOE-B Exam Syllabus Topics:

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

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Google Security Operations Engineer (Beta) Sample Questions (Q14-Q19):

NEW QUESTION # 14
A phishing campaign successfully convinces users to grant OAuth permissions to a malicious third-party application. Which control failure MOST likely allowed this?

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

Answer: A

NEW QUESTION # 15
A SOC team notices repeated outbound HTTPS connections from a Compute Engine instance to an external IP every 60 seconds. CPU usage is normal and no malware signatures trigger. What is the BEST next analytical step?

A. Notify executive leadership
B. Identify the process and service account generating the traffic
C. Block the destination IP immediately
D. Power off the instance

Answer: B

NEW QUESTION # 16
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the Applied Threat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?

A. Configure the rule to trigger when the external IP address from the network connection event matches an entry in a manually pre-curated reference list of all APT41-related IP addresses.
B. Configure the rule to detect outbound network connections to the external IP address. Create a Google SecOps SOAR playbook that queries the Fusion Feed to determine if the IP address has an APT41 relationship.
C. Configure the rule to check whether the external IP address from the network connection event has a high confidence score across any enabled threat intelligence feed.
D. Configure the rule to establish a join between the live network connection event and Fusion Feed data for the common external IP address. Filter the joined Fusion Feed data for explicit associations with the APT41 threat group or related indicators.

Answer: D

NEW QUESTION # 17
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. Activate a new Web Security Scanner scan in Security Command Center (SCC), and look for findings related to XSS.
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. 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.

Answer: C

NEW QUESTION # 18
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. Group events by user identity and time to identify repeated access patterns.
B. Filter for events using protocol-level attributes that indicate RDP connections.
C. Correlate events based on the asset role or classification such as database or user workstation.
D. Use a saved search to identify all events with the LATERAL MOVEMENT tag over the past 30 days.
E. Filter for RDP connections with non-standard ports.

Answer: A,B

NEW QUESTION # 19
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