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>> SPLK-5002 Test Assessment <<
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NEW QUESTION # 80
Which of the following cURL commands would allow an engineer to effectively disable the REST API endpoint they ' ve been utilizing for testing a detection named TestSearchDevelopment?
Answer: A
Explanation:
Splunk ' s REST interface provides an action endpoint for disabling a saved search. The appropriate request is an HTTP POST to the saved-search resource ' s /disable action:
curl -k -u admin:pass \
https://localhost:8089/servicesNS/admin/search/saved/searches/TestSearchDevelopment/disable \
-X POST
The key distinction is between operating on the saved-search resource itself and invoking an action against it.
DELETE would attempt to remove the saved search entirely rather than merely disabling it. PUT is generally used to update or replace resource state, but Splunk ' s action-style REST endpoints such as /disable are invoked using POST .
This is useful during detection development because an engineer may temporarily disable a scheduled search after validating its behavior, preventing unnecessary execution while preserving the object and its configuration for further development.
The supplied course material covers REST methods, Splunk/SOAR API communication, and automation concepts, but this exact cURL question is not present verbatim in the uploaded question set.
Study Guide topics: Splunk REST API, saved searches, HTTP POST, detection lifecycle, scheduled-search management, API testing.
NEW QUESTION # 81
Which type of correlation search reviews the events in the risk index and uses an aggregation of events impacting a single risk object to generate risk notables?
Answer: D
NEW QUESTION # 82
Which Splunk feature helps to standardize data for better search accuracy and detection logic?
Answer: D
Explanation:
Why Use "Data Models" for Standardized Search Accuracy and Detection Logic?
SplunkData Modelsprovide astructured, normalized representationof raw logs, improving:
#Search consistency across different log sources#Detection logic by ensuring standardized field names#Faster and more efficient querieswith data model acceleration
#Example in Splunk Enterprise Security:#Scenario:A SOC team monitors login failures acrossmultiple authentication systems.#Without Data Models:Different logs usesrc_ip, source_ip, or ip_address, making searches complex.#With Data Models:All fieldsmap to a standard format, enablingconsistent detection logic.
Why Not the Other Options?
#A. Field Extraction- Extracts fields from raw events butdoes not standardize field names across sources.#C.
Event Correlation- Detects relationships between logsbut doesn't normalize data for search accuracy.#D.
Normalization Rules- A general term; Splunkuses CIM & Data Models for normalization.
References & Learning Resources
#Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutdatamodels#Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app
/263#How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-
NEW QUESTION # 83
What is the primary purpose of Splunk SOAR (Security Orchestration, Automation, and Response)?
Answer: C
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) helps SOC teams automate threat detection, investigation, and response by integrating security tools and orchestrating workflows.
Primary Purpose of Splunk SOAR:
Automates Security Tasks (B)
Reduces manual efforts by using playbooks to handle routine incidents automatically.
Accelerates threat mitigation by automating response actions (e.g., blocking malicious IPs, isolating endpoints).
Orchestrates Security Workflows (B)
Connects SIEM, threat intelligence, firewalls, endpoint security, and ITSM tools into a unified security workflow.
Ensures faster and more effective threat response across multiple security tools.
NEW QUESTION # 84
What framework in Enterprise Security allows engineers to build detections using known malicious IOCs, comparing them to event logs to find suspicious behavior?
Answer: A
Explanation:
The Threat Intelligence Framework provides the Enterprise Security capability for managing known indicators of compromise and correlating those indicators with observed event data. It is therefore the framework used when engineers want to compare malicious IOCs against telemetry to identify suspicious activity.
Indicators can represent objects such as IP addresses, domains, URLs, file hashes, certificates, or other observable threat artifacts. Enterprise Security processes and normalizes threat intelligence so that matching logic can compare those intelligence objects against compatible fields contained in security events.
For example, a known malicious domain may be compared against DNS or web telemetry, while a malicious IP address may be compared against network connections. A match can subsequently contribute to a finding, risk event, enrichment workflow, or additional investigation depending on the implemented detection strategy.
The Assets & Identities functionality concerns organizational context around entities rather than IOC matching. Incident management handles investigation and response workflows. OSINT describes a category of intelligence collection but is not the Enterprise Security framework requested.
Study Guide topics: Threat Intelligence Framework; IOCs; threat matching; threat-intelligence normalization; event correlation; indicator-based detection.
NEW QUESTION # 85
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