Updating the SOP for Handling Phishing Incidents
AStandard Operating Procedure (SOP)should focus onprevention, detection, and response.
#1. Documenting Steps for User Awareness Training (C)
Training employeeshelps prevent phishing incidents.
Example:
Teach users toidentify phishing emails and report them via a Splunk SOAR playbook.
#Incorrect Answers:
A: Ensuring all reports are manually verified by analysts#Automation(via SOAR) should be used forinitial triage.
B: Automating the isolation of suspected phishing emails# Automation is useful, butuser education prevents incidents.
D: Reporting incidents to the executive board immediately#Only major security breachesshould beescalated to executives.
#Additional Resources:
NIST Incident Response Guide
Splunk Phishing Detection Playbooks

Monitoring indexing performance in Splunk is crucial for ensuring efficient data ingestion, search performance, and resource utilization.
Methods to Monitor Indexing Performance Effectively:
Use the Monitoring Console (A)
Provides real-time visibility into indexing performance.
Displays resource utilization, indexing rate, queue health, and disk usage.
Track Indexer Queue Size and Throughput (D)
Monitoring queue sizes prevents indexing bottlenecks.
Ensures data is processed efficiently without delays.

Splunk uses Analytic Stories to group related detections together that align with a specific threat scenario, such as ransomware. These stories provide a collection of correlation searches, baselines, and contextual guidance to detect, investigate, and respond to adversary behaviors.

Splunk uses Analytic Stories to organize related detections around a common threat scenario, adversary behavior, or security use case. Ransomware is an ideal example because no single detection fully characterizes the attack. Instead, defenders may observe multiple behaviors representing different stages or consequences of the intrusion.
One analytic could detect registry modifications associated with persistence or configuration changes.
Another could identify mass creation of ransom-note files. A separate detection could monitor wallpaper modification or account manipulation. An Analytic Story groups these related analytics into a coherent defensive narrative so engineers and analysts can understand how individual detections collectively provide coverage of the broader threat.
A data model normalizes telemetry and enables consistent searching but does not conceptually group detections by attack scenario. The Threat Intelligence Framework handles indicators and intelligence enrichment, while the Assets & Identities Framework adds contextual information about entities. Neither serves as the security-content grouping mechanism described.
Analytic Stories also help communicate detection coverage, supporting searches, data requirements, and related adversary techniques in a structured way.
Study Guide topics: Analytic Stories, ransomware detection, security-content organization, detection coverage, behavioral analytics, MITRE ATT & CK alignment.

The correct component is SA-ThreatIntelligence . Within Splunk Enterprise Security, this supporting add-on is associated with the threat-intelligence framework and the processing of threat indicators used for matching, enrichment, and security analytics.
Threat intelligence may contain observables such as malicious IP addresses, domains, URLs, email indicators, certificate information, file hashes, or other intelligence objects. The framework must normalize and process these indicators so that Enterprise Security searches can compare them with telemetry observed in the environment.
The SA- prefix is significant in the Splunk application ecosystem because supporting add-ons frequently provide underlying searches, knowledge objects, configurations, or framework functionality that other Splunk applications consume. The other names shown in the question are distractors and are not the designated Enterprise Security supporting add-on requested.
Threat intelligence ingestion is more than simply indexing a feed. The resulting indicators must be structured into appropriate collections and made usable by matching processes so that detections can identify interactions between internal activity and known threat objects.
Question 9 is displayed on page 3 of the supplied certification material.
Study Guide topics: SA-ThreatIntelligence, Threat Intelligence Framework, indicator ingestion, threat matching, intelligence normalization, Enterprise Security architecture.