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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q77-Q82):

NEW QUESTION # 77
What Splunk process ensures that duplicate data is not indexed?

A. Event parsing
B. Data deduplication
C. Indexer clustering
D. Metadata tagging

Answer: A

Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.

NEW QUESTION # 78
A company's Splunk setup processes logs from multiple sources with inconsistent field naming conventions.
Howshould the engineer ensure uniformity across data for better analysis?

A. Use data model acceleration for real-time searches.
B. Configure index-time data transformations.
C. Apply Common Information Model (CIM) data models for normalization.
D. Create field extraction rules at search time.

Answer: C

Explanation:
Why Use CIM for Field Normalization?
When processing logs from multiple sources with inconsistent field names, the best way to ensure uniformity is to use Splunk's Common Information Model (CIM).
#Key Benefits of CIM for Normalization:
Ensures that different field names (e.g., src_ip, ip_src, source_address) are mapped to a common schema.
Allows security teams to run a single search query across multiple sources without manual mapping.
Enables correlation searches in Splunk Enterprise Security (ES) for better threat detection.
Example Scenario in a SOC:
#Problem: The SOC team needs to correlate firewall logs, cloud logs, and endpoint logs for failed logins.
#Without CIM: Each log source uses a different field name for failed logins, requiring multiple search queries.
#With CIM: All failed login events map to the same standardized field (e.g., action="failure"), allowing one unified search query.
Why Not the Other Options?
#A. Create field extraction rules at search time - Helps with parsing data but doesn't standardize field names across sources.#B. Use data model acceleration for real-time searches - Accelerates searches but doesn't fix inconsistent field naming.#D. Configure index-time data transformations - Changes fields at indexing but is less flexible than CIM's search-time normalization.
References & Learning Resources
#Splunk CIM for Normalization: https://docs.splunk.com/Documentation/CIM#Splunk ES CIM Field Mappings: https://splunkbase.splunk.com/app/263#Best Practices for Log Normalization: https://www.splunk.
com/en_us/blog/tips-and-tricks

NEW QUESTION # 79
A compliance audit reveals gaps in the tracking of privileged account activities.
Howcan the team address this issue?

A. Focus only on low-priority account activity
B. Automate report generation for privileged accounts
C. Use summary indexes to delete old data
D. Exclude privileged accounts from reporting

Answer: B

Explanation:
Privileged accounts pose ahigh security risk, and tracking their activity iscritical for compliance(e.g.,PCI DSS, NIST, ISO 27001, SOC 2).
#1. Automate Report Generation for Privileged Accounts (A)
Ensurescontinuous monitoringofadmin/root accounts.
Helpsdetect misuse or unauthorized access.
Example:
Splunk Enterprise Security (ES)can generate scheduled reports on:
Failed login attempts by privileged users.
Actions performed using admin credentials.
#Incorrect Answers:
B: Use summary indexes to delete old data# Summary indexes improve performance butdo not help track privileged accounts.
C: Focus only on low-priority account activity# Privileged accountsshould always be high-priority.
D: Exclude privileged accounts from reporting# This wouldviolate compliance requirements.
#Additional Resources:
Splunk Security Monitoring for Privileged Accounts
NIST Access Control Guide

NEW QUESTION # 80
What methods improve risk and detection prioritization?(Choosethree)

A. Automating detection tuning
B. Incorporating business context into decisions
C. Assigning risk scores to assets and events
D. Enforcing strict search head resource limits
E. Using predefined alert templates

Answer: A,B,C

Explanation:
Risk and detection prioritization in Splunk Enterprise Security (ES) helps SOC analysts focus on the most critical threats. By assigning risk scores, integrating business context, and automating detection tuning, organizations can prioritize security incidents efficiently.
Methods to Improve Risk and Detection Prioritization:
Assigning Risk Scores to Assets and Events (A)
Uses Risk-Based Alerting (RBA) to prioritize high-risk activities based on behavior and history.
Helps SOC teams focus on true threats instead of isolated events.
Incorporating Business Context into Decisions (C)
Adds context from asset criticality, user roles, and business impact.
Ensures alerts are ranked based on their potential business impact.
Automating Detection Tuning (D)
Uses machine learning and adaptive response actions to reduce false positives.
Dynamically adjusts alert thresholds based on evolving threat patterns.

NEW QUESTION # 81
What are key benefits of automating responses using SOAR?(Choosethree)

A. Reducing false positives
B. Faster incident resolution
C. Scaling manual efforts
D. Consistent task execution
E. Eliminating all human intervention

Answer: B,C,D

Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) improves security operations by automating routine tasks.
#1. Faster Incident Resolution (A)
SOAR playbooks reduce response time from hours to minutes.
Example:
A malicious IP is automatically blocked in the firewall after detection.
#2. Scaling Manual Efforts (C)
Automation allows security teams to handle more incidents without increasing headcount.
Example:
Instead of manually reviewing phishing emails, SOAR triages them automatically.
#3. Consistent Task Execution (D)
Ensures standardized responses to security incidents.
Example:
Every malware alert follows the same containment process.
#Incorrect Answers:
B: Reducing false positives # SOAR automates response but does not inherently reduce false positives (SIEM tuning does).
E: Eliminating all human intervention # Human analysts are still needed for decision-making.
#Additional Resources:
Splunk SOAR Automation Guide
Best Practices for SOAR Implementation

NEW QUESTION # 82
......

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