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| Section | Weight | Objectives |
|---|---|---|
| Incident Response and Investigation | 20-25% | - Incident response workflows - Timeline reconstruction - Container and cloud environment investigation - Malware analysis and forensics - Investigation best practices - Using correlation searches for investigation |
| Threat Detection and Hunting | 25-30% | - Proactive threat hunting methodologies - Adversarial tactics, techniques, and procedures (ATT&CK) - Notable events and risk analysis - Creating and modifying detections - Using Splunk ES threat intelligence - Search and detection frameworks |
| Security Operations Center (SOC) Fundamentals | 10-15% | - SOC roles and responsibilities - Alert triage workflow - Security monitoring concepts - SIEM architecture in Splunk |
| Splunk SOAR for Security Automation | 10-15% | - SOAR and ES integration - SOAR platform fundamentals - Creating and managing playbooks - Incident response automation - Automation workflows and integrations |
| Splunk Enterprise Security Administration | 10-15% | - ES content management - Backup and recovery procedures - Performance tuning and optimization - User management and authentication - ES upgrade and maintenance |
| Splunk Enterprise Security (ES) Configuration | 20-25% | - Configuring data inputs and normalization - ES dashboards and navigation - ES deployment and architecture - Incident review and management - Managing asset and identity correlation |
>> Valid SPLK-5002 Test Materials <<
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NEW QUESTION # 79
A security team notices delays in responding to phishing emails due to manual investigation processes.
Howcan Splunk SOAR improve this workflow?
Answer: A
Explanation:
How Splunk SOAR Improves Phishing Response?
Phishing attacks require fast detection and response. Manual investigation delays can be eliminated using Splunk SOAR automation.
#Why Use Playbooks for Automated Email Triage? (Answer B)#Extracts email headers and attachments for analysis#Checks links & attachments against threat intelligence feeds#Automatically quarantines or deletes malicious emails#Escalates high-risk cases to SOC analysts
#Example Playbook Workflow in Splunk SOAR:#Scenario: A suspicious email is reported.#Splunk SOAR playbook automatically:
Extracts sender details & checks against threat intelligence
Analyzes URLs & attachments using VirusTotal/Sandboxing
Tags the email as "Malicious" or "Safe"
Quarantines the email & alerts SOC analysts
Why Not the Other Options?
#A. Prioritizing phishing cases manually - Still requires manual effort, leading to delays.#C. Assigning cases to analysts in real-time - Doesn't solve the issue of slow manual investigations.#D. Increasing the indexing frequency of email logs - Helps with log retrieval but doesn't automate phishing response.
References & Learning Resources
#Splunk SOAR Phishing Playbook Guide: https://docs.splunk.com/Documentation/SOAR#Phishing Detection Automation in Splunk: https://splunkbase.splunk.com#Email Threat Intelligence with SOAR:
https://www.splunk.com/en_us/blog/security
NEW QUESTION # 80
Which action improves the effectiveness of notable events in Enterprise Security?
Answer: C
Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable.
Thus, the correct answer is A. Applying suppression rules for false positives.
References:
Managing Notable Events in Splunk ES
Best Practices for Tuning Correlation Searches
Using Suppression in Splunk ES
NEW QUESTION # 81
The below search is used to tabulate the Risk Score by Entity. What is incorrect about this search?
Answer: C
Explanation:
In the Risk data model, the correct field for linking entities is risk_object, not risk_field. Using risk_field is incorrect because it does not represent the entity being scored. The search should aggregate on risk_object to properly tabulate risk scores by entity.
NEW QUESTION # 82
Lookups append fields from an external source to events based on the values of fields that are already present in those events. What are the four supported lookup types?
Answer: A
Explanation:
The four supported lookup types in Splunk are:
1. CSV - static lookups from comma-separated files.
2. External - scripts or commands that return lookup results dynamically.
3. Geospatial - for mapping geographic data.
4. KV Store - lookups backed by Splunk's key-value store for dynamic, structured data.
NEW QUESTION # 83
Which of the following can process data from configured containers using an automated sequence of actions?
Answer: A
Explanation:
Playbooks in Splunk SOAR can process data from containers using an automated sequence of actions. They orchestrate investigations and responses by chaining together tasks, decisions, and actions across integrated tools.
NEW QUESTION # 84
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