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>> SPLK-5002 Latest Exam Answers <<
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NEW QUESTION # 16
What are the essential components of risk-based detections in Splunk?
Answer: B
Explanation:
What Are Risk-Based Detections in Splunk?
Risk-based detections in Splunk Enterprise Security (ES) assign risk scores to security events based on threat severity and asset criticality.
#Key Components of Risk-Based Detections:1##Risk Modifiers - Adjusts risk scores based on event type (e.
g., failed logins, malware detections).2##Risk Objects - Entities associated with security events (e.g., users, IPs, devices).3##Risk Scores - Numerical values indicating the severity of a risk.
#Example in Splunk Enterprise Security:#Scenario: A high-privilege account (Admin) fails multiple logins from an unusual location.#Splunk ES applies risk-based detection:
Failed logins add +10 risk points
Login from a suspicious country adds +15 points
Total risk score exceeds 25 # Triggers an alert
Why Not the Other Options?
#B. Summary indexing, tags, and event types - Summary indexing stores precomputed data, but doesn't drive risk-based detection.#C. Alerts, notifications, and priority levels - Important, but risk-based detection is based on scoring, not just alerts.#D. Source types, correlation searches, and asset groups - Helps in data organization, but not specific to risk-based detections.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Risk-Based Detections
& Scoring in Splunk: https://www.splunk.com/en_us/blog/security/risk-based-alerting.html#Best Practices for Risk Scoring in SOC Operations: https://splunkbase.splunk.com
NEW QUESTION # 17
What are essential steps in developing threat intelligence for a security program?(Choosethree)
Answer: A,B,E
Explanation:
Threat intelligence in Splunk Enterprise Security (ES) enhances SOC capabilities by identifying known attack patterns, suspicious activity, and malicious indicators.
Essential Steps in Developing Threat Intelligence:
Collecting Data from Trusted Sources (A)
Gather data from threat intelligence feeds (e.g., STIX, TAXII, OpenCTI, VirusTotal, AbuseIPDB).
Include internal logs, honeypots, and third-party security vendors.
Analyzing and Correlating Threat Data (C)
Use correlation searches to match known threat indicators against live data.
Identify patterns in network traffic, logs, and endpoint activity.
Operationalizing Intelligence Through Workflows (E)
Automate responses using Splunk SOAR (Security Orchestration, Automation, and Response).
Enhance alert prioritization by integrating intelligence into risk-based alerting (RBA).
NEW QUESTION # 18
What are critical elements of an effective incident report?(Choosethree)
Answer: A,B,C
Explanation:
Critical Elements of an Effective Incident Report
An incident reportdocuments security breaches, outlines response actions, and provides prevention strategies.
#1. Timeline of Events (A)
Provides achronological sequenceof the incident.
Helps analystsreconstruct attacksand understand attack vectors.
Example:
08:30 AM- Suspicious login detected.
08:45 AM- SOC investigation begins.
09:10 AM- Endpoint isolated.
#2. Steps Taken to Resolve the Issue (C)
Documentscontainment, eradication, and recovery efforts.
Ensures teamsfollow response procedures correctly.
Example:
Blocked malicious IPs, revoked compromised credentials, and restored affected systems.
#3. Recommendations for Future Prevention (E)
Suggestssecurity improvementsto prevent future attacks.
Example:
Enhance SIEM correlation rules, enforce multi-factor authentication, or update firewall rules.
#Incorrect Answers:
B: Financial implications of the incident# Important for executives,not crucial for an incident report.
D: Names of all employees involved# Avoidsexposing individualsand focuses on security processes.
#Additional Resources:
Splunk Incident Response Documentation
NIST Computer Security Incident Handling Guide
NEW QUESTION # 19
Which of the following identifies elements of the Detection Development Lifecycle (DDLC)?
Answer: D
Explanation:
The lifecycle sequence represented by the course question is Design, Develop, Test, Deploy . These stages describe the fundamental progression required to transform a detection concept into operational security content.
During Design , engineers define the threat behavior, telemetry requirements, analytic objective, expected entities, false-positive considerations, and desired analyst outcome. Develop converts those requirements into SPL, correlation-search logic, risk logic, annotations, and appropriate output fields. Test validates the detection against representative telemetry, historical events, simulations, or controlled attack activity and evaluates both positive detection behavior and false-positive conditions. Deploy moves the validated analytic into the operational environment with the proper schedule, permissions, response configuration, and monitoring expectations.
Documentation, research, monitoring, and maintenance are important supporting practices, but the question asks for the lifecycle elements represented by the DDLC formulation used here. Option D provides the coherent ordered core development sequence; the other choices omit essential stages or place activities in combinations that do not reflect the expected lifecycle.
Study Guide topics: Detection Development Lifecycle, design, SPL development, testing, validation, deployment, detection engineering governance.
NEW QUESTION # 20
Based on the provided screenshot, it ' s discovered that different machines or accounts have been associated with the shown threat objects.
Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?
Answer: B
Explanation:
The correct combination is the Risk Framework and the Assets & Identities Framework .
The Risk Framework is responsible for associating security observations with risk objects , such as users, systems, IP addresses, or other entities. In the exhibit, multiple threat objects are linked to various risk objects, and accumulated activity contributes to the displayed risk score and event count. This allows Enterprise Security to correlate multiple security observations around an entity rather than treating each event independently.
The Assets & Identities Framework provides the enrichment necessary to recognize that different usernames, email addresses, aliases, devices, or accounts can represent the same underlying identity . In the screenshot, several identity aliases are shown as belonging to Fyodor. This framework supplies the contextual relationship that lets Enterprise Security consolidate those identifiers around one owner.
Threat Intelligence can provide malicious indicators, but it does not perform the identity-resolution function described. Incident Review is primarily an analyst workflow interface rather than the framework creating these programmatic entity relationships.
The same Risk Events/Threat Topology scenario is included in the supplied Cybersecurity Defense Engineer material.
Study Guide topics: Risk Framework, Assets & Identities Framework, risk objects, identity aliases, entity enrichment, Threat Topology, Risk-Based Alerting.
NEW QUESTION # 21
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