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Splunk SPLK-5002在線題庫 & SPLK-5002考試證照綜述

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最新的 Cybersecurity Defense Analyst SPLK-5002 免費考試真題 (Q51-Q56):

問題 #51
What methods can improve Splunk's indexing performance?(Choosetwo)

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

答案：B,D

解題說明：
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.

 

問題 #52
What feature allows you to extract additional fields from events at search time?

• A. Search-time field extraction
• B. Data modeling
• C. Index-time field extraction
• D. Event parsing

答案：A

解題說明：
Splunk allows dynamic field extraction to enhance data analysis without modifying raw indexed data.
Search-Time Field Extraction:
Extracts fields on-demand when running searches.
Uses Splunk's Field Extraction Engine (rex,spath, or automatic field discovery).
Minimizes indexing overhead by keeping the raw data unchanged.

 

問題 #53
How can you ensure efficient detection tuning?(Choosethree)

• A. Perform regular reviews of false positives.
• B. Disable correlation searches for low-priority threats.
• C. Use detailed asset and identity information.
• D. Automate threshold adjustments.

答案：A,C,D

解題說明：
Ensuring Efficient Detection Tuning in Splunk Enterprise Security
Detection tuning is essential to minimize false positives and improve security visibility.
#1. Perform Regular Reviews of False Positives (A)
Reviewing false positives helps refine detection logic.
Analysts should analyze past alerts and adjust correlation rules.
Example:
Tuning a failed login correlation search to exclude known legitimate admin accounts.
#2. Use Detailed Asset and Identity Information (B)
Enriches detections with asset and user context.
Helps differentiate high-risk vs. low-risk security events.
Example:
A login from an executive's laptop is higher risk than from a test server.
#3. Automate Threshold Adjustments (D)
Dynamic thresholds adjust based on activity baselines.
Reduces false positives while maintaining security coverage.
Example:
A brute-force detection rule dynamically adjusts its alerting threshold based on normal user behavior.
C: Disable correlation searches for low-priority threats # Instead of disabling, adjust the rule sensitivity or lower alert severity.
#Additional Resources:
Splunk Security Essentials: Detection Tuning Guide
Tuning Correlation Searches in Splunk ES

 

問題 #54
What is the purpose of using data models in building dashboards?

• A. To compress indexed data
• B. To reduce storage usage on Splunk instances
• C. To store raw data for compliance purposes
• D. To provide a consistent structure for dashboard queries

答案：D

解題說明：
Why Use Data Models in Dashboards?
SplunkData Modelsallow dashboards toretrieve structured, normalized data quickly, improving search performance and accuracy.
#How Data Models Help in Dashboards?(AnswerB)#Standardized Field Naming- Ensures that queries always useconsistent field names(e.g.,src_ipinstead ofsource_ip).#Faster Searches- Data models allow dashboards torun structured searches instead of raw log queries.#Example:ASOC dashboard for user activity monitoringuses a CIM-compliantAuthentication Data Model, ensuring that querieswork across different log sources.
Why Not the Other Options?
#A. To store raw data for compliance purposes- Raw data is stored in indexes,not data models.#C. To compress indexed data- Data modelsstructuredata but donot perform compression.#D. To reduce storage usage on Splunk instances- Data modelshelp with search performance, not storage reduction.
References & Learning Resources
#Splunk Data Models for Dashboard Optimization: https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Aboutdatamodels#Building Efficient Dashboards Using Data Models: https://splunkbase.splunk.
com#Using CIM-Compliant Data Models for Security Analytics: https://www.splunk.com/en_us/blog/tips- and-tricks

 

問題 #55
How can you ensure that a specific sourcetype is assigned during data ingestion?

• A. Configure the sourcetype in the deployment server.
• B. Use props.conf to specify the sourcetype.
• C. Use REST API calls to tag sourcetypes dynamically.
• D. Define the sourcetype in the search head.

答案：B

解題說明：
Why Useprops.confto Assign Sourcetypes?
In Splunk, sourcetypes define the format and structure of incoming data. Assigning the correct sourcetype ensures that logs are parsed, indexed, and searchable correctly.
#How Doesprops.confHelp?
props.confallows manual sourcetype assignment based on source or host.
Ensures that logs are indexed with the correct parsing rules (timestamps, fields, etc.).
#Example Configuration inprops.conf:
ini
CopyEdit
[source::/var/log/auth.log]
sourcetype = auth_logs
#This forces all logs from/var/log/auth.logto be assigned sourcetype=auth_logs.
Why Not the Other Options?
#B. Define the sourcetype in the search head - Sourcetypes are assigned at ingestion time, not at search time.
#C. Configure the sourcetype in the deployment server - The deployment server manages configurations, butprops.confis what actually assigns sourcetypes.#D. Use REST API calls to tag sourcetypes dynamically - REST APIs help modify configurations, but they don't assign sourcetypes directly during ingestion.
References & Learning Resources
#Splunkprops.confDocumentation:https://docs.splunk.com/Documentation/Splunk/latest/Admin
/Propsconf#Best Practices for Sourcetype Management: https://www.splunk.com/en_us/blog/tips-and- tricks#Splunk Data Parsing Guide: https://splunkbase.splunk.com

 

問題 #56
......

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