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| Section | Objectives |
|---|---|
| Automation and Response | - Security orchestration and response
|
| Google Security Operations Platform | - Chronicle / Google SecOps SIEM usage
|
| Cloud Security Posture and Compliance | - Security configuration assessment
|
| Threat Detection and Incident Response | - Security incident investigation
|
| Security Operations in Google Cloud | - Security monitoring and logging (Cloud Logging / Cloud Monitoring)
|
| Identity and Access Security | - IAM security monitoring
|
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NEW QUESTION # 72
Your organization plans to ingest logs from an on-premises MySQL database as a new log source into its Google Security Operations (SecOps) instance. You need to create a solution that minimizes effort. What should you do?
Answer: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The standard, native, and minimal-effort solution for ingesting logs from on-premises sources into Google Security Operations (SecOps) is to use the Google SecOps forwarder. The forwarder is a lightweight software component (available as a Linux binary or Docker container) that is deployed within the customer's network. It is designed to collect logs from a variety of on-premises sources and securely forward them to the SecOps platform.
The forwarder can be configured to monitor log files directly (which is a common output for a MySQL database) or to receive logs via syslog. Once the forwarder is installed and its configuration file is set up to point to the MySQL log file or syslog stream, it handles the compression, batching, and secure transmission of those logs to Google SecOps. This is the intended and most direct ingestion path for on-premises telemetry.
Option C is incorrect because the log source is on-premises, not within the Google Cloud organization. Option B (API feed) is the wrong mechanism; feeds are used for structured data like threat intelligence or alerts, not for raw telemetry logs from a database. Option A (Bindplane) is a third-party partner solution, which may involve additional configuration or licensing, and is not the native, minimal-effort tool provided directly by Google SecOps for this task.
(Reference: Google Cloud documentation, "Google SecOps data ingestion overview"; "Install and configure the SecOps forwarder")
NEW QUESTION # 73
You are developing a playbook to respond to phishing reports from users at your company. You configured a UDM query action to identify all users who have connected to a malicious domain. You need to extract the users from the UDM query and add them as entities in an alert so the playbook can reset the password for those users. You want to minimize the effort required by the SOC analyst. What should you do?
Answer: A
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The key requirement is to *automate* the extraction of data to *minimize analyst effort*. This is a core function of Google Security Operations SOAR (formerly Siemplify). The **Siemplify integration** provides the foundational playbook actions for case management and entity manipulation.
The **`Create Entity`** action is designed to programmatically add new entities (like users, IPs, or domains) to the active case. To make this action automatic, the playbook developer must use the **Expression Builder**. The Expression Builder is the tool used to parse the JSON output from a previous action (the UDM query) and dynamically map the results (the list of usernames) into the parameters of a subsequent action.
By using the Expression Builder to configure the `Entities Identifier` parameter of the `Create Entity` action, the playbook automatically extracts all `principal.user.userid` fields from the UDM query results and adds them to the case. These new entities can then be automatically passed to the next playbook step, such as
"Reset Password."
Options A and C are incorrect because they are **manual** actions. They require an analyst to intervene, which does *not* minimize effort. Option D is incorrect as it creates multiple, unnecessary cases, flooding the queue instead of enriching the single, original phishing case.
*(Reference: Google Cloud documentation, "Google SecOps SOAR Playbooks overview"; "Using the Expression Builder"; "Marketplace and Integrations")*
***
NEW QUESTION # 74
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?
Answer: D
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From Exact Extract Google Security Operations Engineer documents:
The correct, low-impact solution for augmenting a Google-managed parser is to use a parser extension. The problem states that the base parser is still working, but needs to be supplemented to map two new fields.
Copying the entire parser (Option A) is a high-impact, high-maintenance solution ("Customer Specific Parser"). This action makes the organization responsible for all future updates and breaks the link to Google's managed updates, which is not a minimal-impact solution.
The intended, modern solution is the parser extension. This feature allows an engineer to write a small, targeted snippet of Code-Based Normalization (CBN) code that executes after the Google-managed base parser. This extension code can access the raw_log and perform the specific logic needed to extract the two unmapped fields and assign them to their proper Universal Data Model (UDM) fields.
This approach is the fastest to deploy and minimizes change management impact because the core parser remains managed and updated by Google, while the extension simply adds the custom logic on top. Option B,
"Extract Additional Fields," is a UI-driven feature, but the underlying mechanism that saves and deploys this logic is the parser extension. Option D is the more precise description of the technical solution.
(Reference: Google Cloud documentation, "Manage parsers"; "Parser extensions"; "Code-Based Normalization (CBN) syntax")
NEW QUESTION # 75
You are the SOC manager at a large enterprise that uses Google Security Operations (SecOps).
You need to create a report that shows the Return on Investment (ROI) attributed to analyst activities in Google SecOps SOAR for the previous month. The report should include the time saved and efficiency gains from using SOAR's features. You need to generate this report using the most efficient and accurate approach while providing the required level of detail. What should you do?
Answer: C
Explanation:
The most efficient and accurate method is to use the ROI - Analysts Benchmark report in SOAR Reports. This built-in report automatically calculates time saved and efficiency gains from SOAR features, allows filtering by analyst and time period, and avoids the need for manual queries or custom playbook development while delivering the required ROI insights.
NEW QUESTION # 76
Which Google Cloud log source is MOST critical for detecting unauthorized IAM role changes?
Answer: D
Explanation:
Admin Activity logs record IAM policy changes and administrative actions, even if logging is otherwise restricted.
NEW QUESTION # 77
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