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The Splunk SPLK-5002 Certification Exam is one of the valuable credentials that are designed to prove an Splunk aspirant's technical expertise. With the Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) certificate they can be competitive and updated in the highly competitive market. The Splunk Certification Questions offers a great opportunity for beginners and experienced professionals to not only validate their skills but also advance their careers.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q37-Q42):

NEW QUESTION # 37
What are the key components of Splunk's indexing process?(Choosethree)

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

Answer: B,C,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 # 38
Which actions enhance the accuracy of Splunk dashboards?(Choosetwo)

A. Avoiding token-based filters
B. Performing regular data validation
C. Using accelerated data models
D. Disabling drill-down features

Answer: B,C

Explanation:
How to Improve Dashboard Accuracy in Splunk?
#1. Using Accelerated Data Models (Answer A)#Increases search speedand ensuresdashboards load faster.
#Provides pre-processed structured dataforreal-time analysis.#Example:ASOC dashboard tracking failed loginsuses an accelerated authentication data model forfaster rendering.
#2. Performing Regular Data Validation (Answer C)#Ensures that the indexed data is accurate and complete.
#Prevents misleading dashboardscaused by incomplete logs or incorrect field extractions.#Example:If afirewall log source stops sending data, regular validation detects missing logsbefore analysts rely on incorrect dashboards.
Why Not the Other Options?
#B. Avoiding token-based filters- Tokensimprovedashboard flexibility; avoiding themreduces usability.#D.
Disabling drill-down features- Drill-downsenhance insightsby allowing analysts to investigate details easily.
References & Learning Resources
#Splunk Dashboard Performance Optimization: https://docs.splunk.com/Documentation/Splunk/latest/Viz
/Dashboards#Using Data Models for Fast and Accurate Dashboards: https://splunkbase.splunk.com#Regular Data Validation for SOC Dashboards: https://www.splunk.com/en_us/blog/security

NEW QUESTION # 39
What feature allows you to extract additional fields from events at search time?

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

Answer: B

Explanation:
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.

NEW QUESTION # 40
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?

A. Reconfigure the props.conf file.
B. Increase the indexer memory allocation.
C. Review forwarder logs for queue blockages.
D. Optimize search head clustering.

Answer: C

Explanation:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.

NEW QUESTION # 41
A company wants to create a dashboard that displays normalized event data from various sources.
Whatapproach should they use?

A. Apply search-time field extractions.
B. Implement a data model using CIM.
C. Use SPL queries to manually extract fields.
D. Configure a summary index.

Answer: B

Explanation:
When organizations need to normalize event data from various sources, using Common Information Model (CIM) in Splunk is the best approach.
Why Use CIM for Normalized Event Data?
Standardizes Data Across Different Log Sources
CIM ensures consistent field names and formats across varied log types.
Makes searches, reports, and dashboards easier to manage.
Enables Faster and More Efficient Searches
Uses Data Models to accelerate search queries.
Reduces the need for custom field extractions.

NEW QUESTION # 42
......

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