Quiz SPLK-5002 - Splunk Certified Cybersecurity Defense Engineer–Trustable Mock Exams
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Splunk SPLK-5002 Exam Syllabus Topics:
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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q23-Q28):
NEW QUESTION # 23
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?
Answer: B
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 # 24
During an incident, a correlation search generates several notable events related to failed logins. The engineer notices the events are from test accounts.
Whatshould be done to address this?
Answer: C
Explanation:
When a correlation search in Splunk Enterprise Security (ES) generates excessive notable events due to test accounts, the best approach is to filter out test accounts while keeping legitimate detections active.
#1. Apply Filtering to Exclude Test Accounts (B)
Modifies the correlation search to exclude known test accounts.
Reduces false positives while keeping real threats visible.
Example:
Update the search to exclude test accounts:
index=auth_logs NOT user IN ("test_user1", "test_user2")
#Incorrect Answers:
A: Disable the correlation search for test accounts # This removes visibility into all failed logins, including those that may indicate real threats.
C: Lower the search threshold for failed logins # Would increase false positives, making it harder for SOC teams to focus on real attacks.
D: Suppress all notable events temporarily # Suppression hides all alerts, potentially missing real security incidents.
#Additional Resources:
Splunk ES: Managing Correlation Searches
Reducing False Positives in SIEM
NEW QUESTION # 25
What is the primary purpose of data indexing in Splunk?
Answer: C
Explanation:
Understanding Data Indexing in Splunk
In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.
#Why is Data Indexing Important?
Stores raw machine data (logs, events, metrics) in a structured manner.
Enables fast searching through optimized data storage techniques.
Uses an indexer to process, compress, and store data efficiently.
Why the Correct Answer is B?
Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.
It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.
#Incorrect Answers & Explanations
A: To ensure data normalization # Splunk normalizes data using Common Information Model (CIM), not indexing.
C: To secure data from unauthorized access # Splunk uses RBAC (Role-Based Access Control) and encryption for security, not indexing.
D: To visualize data using dashboards # Dashboards use indexed data for visualization, but indexing itself is focused on data storage and retrieval.
#Additional Resources:
Splunk Data Indexing Documentation
Splunk Architecture & Indexing Guide
NEW QUESTION # 26
What are benefits of aligning security processes with common methodologies like NIST or MITRE ATT&CK?(Choosetwo)
Answer: B,C
Explanation:
Aligning security processes with frameworks likeNIST Cybersecurity Framework (CSF)orMITRE ATT&CKprovides astructured approach to threat detection and response.
Benefits of Using Common Security Methodologies:
Enhancing Organizational Compliance (A)
Helps organizationsmeet regulatory requirements(e.g., NIST, ISO 27001, GDPR).
Ensuresconsistent security controlsare implemented.
Ensuring Standardized Threat Responses (C)
MITRE ATT&CK providesa common language for adversary techniques.
ImprovesSOC workflows by aligning detection and response strategies.
NEW QUESTION # 27
What is the purpose of using data models in building dashboards?
Answer: A
Explanation:
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
NEW QUESTION # 28
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