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NEW QUESTION # 22
The threat-hunting team has identified suspicious activity. An analyst manually creates a notable event using an event action to track the activity. How should a detection engineer ensure this activity automatically produces findings in the future?
Answer: C
Explanation:
To ensure that suspicious activity consistently generates findings in the future, the detection engineer should create a correlation search for the identified activity. This automates detection by continuously monitoring for the same pattern and producing notable events when it occurs again.
NEW QUESTION # 23
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: A
Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.
NEW QUESTION # 24
In a contextualization playbook, a URL is transmitted to a sandbox for examination and disposition recommendation. What underlying HTTP method is used to transmit this data to the sandbox?
Answer: D
Explanation:
The appropriate HTTP method is POST . A contextualization playbook submitting a URL to a sandbox is creating a new analysis request and transmitting data to an application endpoint for processing. REST APIs conventionally use POST for this type of operation.
A typical workflow sends an HTTP request containing the URL or artifact information in the request body.
The sandbox accepts the submission, generates an analysis job or task identifier, processes the object, and later returns a verdict or detailed analysis. SOAR can subsequently poll for completion or retrieve the resulting disposition.
GET is conventionally used to retrieve an existing resource and normally should not be used to create an analysis job. PUT is generally associated with creating or replacing a resource at a known URI and is not the standard semantic operation for submitting a new sandbox-analysis request. STOR is associated with FTP rather than HTTP and therefore is not an HTTP method applicable to this workflow.
Understanding these API semantics is essential when troubleshooting SOAR integrations because incorrect HTTP methods can produce errors such as 405 Method Not Allowed or other integration failures.
Study Guide topics: SOAR contextualization, REST APIs, HTTP POST, sandbox integration, automated enrichment, artifact analysis.
NEW QUESTION # 25
There are multiple methods for communicating data with a REST Endpoint. In the above screenshot what is the name of the key value pairs represented after the question mark in the URL?
Answer: A
Explanation:
Everything after the question mark in a REST URL consists of query parameters, which are key- value pairs used to pass data to the endpoint.
NEW QUESTION # 26
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?
Answer: B
Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com
NEW QUESTION # 27
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