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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
Topic 2	Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
Topic 3	Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
Topic 4	Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.
Topic 5	Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q74-Q79):

NEW QUESTION # 74
What methods can improve Splunk's indexing performance?(Choosetwo)

A. Optimize event breaking rules.
B. Use universal forwarders for data ingestion.
C. Enable indexer clustering.
D. Create multiple search heads.

Answer: A,C

Explanation:
Improving Splunk's indexing performance is crucial for handling large volumes of data efficiently while maintaining fast search speeds and optimized storage utilization.
Methods to Improve Indexing Performance:
Enable Indexer Clustering (A)
Distributes indexing load across multiple indexers.
Ensures high availability and fault tolerance by replicating indexed data.
Optimize Event Breaking Rules (D)
Defines clear event boundaries to reduce processing overhead.
Uses correctLINE_BREAKERandTRUNCATEsettings to improve parsing speed.

NEW QUESTION # 75
What methods enhance risk-based detection in Splunk?(Choosetwo)

A. Using summary indexing for raw events
B. Defining accurate risk modifiers
C. Limiting the number of correlation searches
D. Enriching risk objects with contextual data

Answer: B,D

Explanation:
Risk-based detection in Splunk prioritizes alerts based on behavior, threat intelligence, and business impact.
Enhancing risk scores and enriching contextual data ensures that SOC teams focus on the most critical threats.
Methods to Enhance Risk-Based Detection:
Defining Accurate Risk Modifiers (A)
Adjusts risk scores dynamically based on asset value, user behavior, and historical activity.
Ensures that low-priority noise doesn't overwhelm SOC analysts.
Enriching Risk Objects with Contextual Data (D)
Adds threat intelligence feeds, asset criticality, and user behavior data to alerts.
Improves incident triage and correlation of multiple low-level events into significant threats.

NEW QUESTION # 76
Which features of Splunk are crucial for tuning correlation searches?(Choosethree)

A. Using thresholds and conditions
B. Enabling event sampling
C. Optimizing search queries
D. Reviewing notable event outcomes
E. Disabling field extractions

Answer: A,C,D

Explanation:
Correlation searches are a key component of Splunk Enterprise Security (ES) that help detect and alert on security threats by analyzing machine data across various sources. Proper tuning of these searches is essential to reduce false positives, improve performance, and enhance the accuracy of security detections in a Security Operations Center (SOC).
Crucial Features for Tuning Correlation Searches
#1. Using Thresholds and Conditions (A)
Thresholds help control the sensitivity of correlation searches by defining when a condition is met.
Setting appropriate conditions ensures that only relevant events trigger notable events or alerts, reducing noise.
Example:
Instead of alerting on any failed login attempt, a threshold of 5 failed logins within 10 minutes can be set to identify actual brute-force attempts.
#2. Reviewing Notable Event Outcomes (B)
Notable events are generated by correlation searches, and reviewing them is critical for fine-tuning.
Analysts in the SOC should frequently review false positives, duplicates, and low-priority alerts to refine rules.
Example:
If a correlation search is generating excessive alerts for normal user activity, analysts can modify it to exclude known safe behaviors.
#3. Optimizing Search Queries (E)
Efficient Splunk Search Processing Language (SPL) queries are crucial to improving search performance.
Best practices include:
Using index-time fields instead of extracting fields at search time.
Avoiding wildcards and unnecessary joins in searches.
Using tstats instead of regular searches to improve efficiency.
Example:
Using:
| tstats count where index=firewall by src_ip
instead of:
index=firewall | stats count by src_ip
can significantly improve performance.
Incorrect Answers & Explanation
#C. Enabling Event Sampling
Event sampling helps analyze a subset of events to improve testing but does not directly impact correlation search tuning in production.
In a SOC environment, tuning needs to be based on actual real-time event volumes, not just sampled data.
#D. Disabling Field Extractions
Field extractions are essential for correlation searches because they help identify and analyze security-related fields (e.g.,user,src_ip,dest_ip).
Disabling them would limit the visibility of important security event attributes, making detections less effective.
Additional Resources for Learning
#Splunk Documentation & Learning Paths:
Splunk ES Correlation Search Documentation
Best Practices for Writing SPL
Splunk Security Essentials - Use Cases
SOC Analysts Guide for Correlation Search Tuning
#Courses & Certifications:
Splunk Enterprise Security Certified Admin
Splunk Core Certified Power User
Splunk SOAR Certified Automation Specialist

NEW QUESTION # 77
What are the key components of Splunk's indexing process?(Choosethree)

A. Alerting
B. Searching
C. Parsing
D. Indexing
E. Input phase

Answer: C,D,E

Explanation:
Key Components of Splunk's Indexing Process
Splunk's indexing process consists of multiple stages that ingest, process, and store data efficiently for search and analysis.
#1. Input Phase (E)
Collects data from sources (e.g., syslogs, cloud services, network devices).
Defines where the data comes from and applies pre-processing rules.
Example:
A firewall log is ingested from a syslog server into Splunk.
#2. Parsing (A)
Breaks raw data into individual events.
Applies rules for timestamp extraction, line breaking, and event formatting.
Example:
A multiline log file is parsed so that each log entry is a separate event.
#3. Indexing (C)
Stores parsed data in indexes to enable fast searching.
Assigns metadata like host, source, and sourcetype.
Example:
An index=firewall_logs contains all firewall-related events.
#Incorrect Answers:
B: Searching # Searching happens after indexing, not during the indexing process.
D: Alerting # Alerting is part of SIEM and detection, not indexing.
#Additional Resources:
Splunk Indexing Process Documentation
Splunk Data Processing Pipeline

NEW QUESTION # 78
What is the primary function of a Lean Six Sigma methodology in a security program?

A. Automating detection workflows
B. Optimizing processes for efficiency and effectiveness
C. Enhancing user activity logs
D. Monitoring the performance of detection searches

Answer: B

Explanation:
Lean Six Sigma (LSS) is a process improvement methodology used to enhance operational efficiency by reducing waste, eliminating errors, and improving consistency.
Primary Function of Lean Six Sigma in a Security Program:
Improves security operations efficiency by optimizing alert handling, threat hunting, and incident response workflows.
Reduces unnecessary steps in SOC processes, eliminating redundancies in threat detection and response.
Enhances decision-making by using data-driven analysis to improve security metrics and Key Performance Indicators (KPIs).

NEW QUESTION # 79
......

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VALID SPLK-5002 TEST BOOK | SPLK-5002 DUMPS FREE

Valid SPLK-5002 Test Book | SPLK-5002 Dumps Free