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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 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
  • 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.

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q73-Q78):

NEW QUESTION # 73
A compliance audit reveals gaps in the tracking of privileged account activities.
Howcan the team address this issue?

Answer: C

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 # 74
A detection engineer is using a threat defense informed strategy to define use cases. Which Splunk app would best facilitate their use case development process by cross referencing detections with the MITRE ATT&CK Framework?

Answer: A

Explanation:
The Splunk Security Essentials App is the best tool for developing use cases with a threat defense informed strategy. It allows engineers to cross-reference detections with the MITRE ATT&CK Framework, providing guided analytic stories and mapping detections to adversary tactics and techniques.


NEW QUESTION # 75
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

Answer: A,C,E

Explanation:
Validating a Splunk SOAR integration requires confirming that the integration can communicate, authenticate, and successfully execute its intended actions .
Testing API connectivity verifies that SOAR can reach the target service, resolve the endpoint, negotiate the required network/TLS connection, and receive valid API responses. Verifying authentication methods confirms that the asset is configured with the authentication mechanism expected by the API, such as username/password, API token, OAuth, or another supported credential model. The supplied study material reinforces this troubleshooting domain through questions involving HTTP response codes, asset permissions, REST communication, and SOAR assets.
Evaluating automated action performance confirms that configured actions actually execute correctly-for example, querying an indicator, isolating a device, blocking a hash, or submitting an artifact to an analysis service.
Monitoring ingestion rates is a Splunk data-pipeline concern rather than a core SOAR integration-validation requirement. Increasing indexer capacity likewise addresses Splunk platform scaling rather than validating an external automation integration.
The exact choose-three wording is not present in the supplied PDF; these selections synthesize the SOAR integration concepts that the guide tests.
Study Guide topics: SOAR assets, REST APIs, authentication, authorization, HTTP status codes, automated actions, integration troubleshooting.


NEW QUESTION # 76
What methods improve risk and detection prioritization?(Choosethree)

Answer: B,C,E

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 # 77
A cybersecurity engineer notices a delay in retrieving indexed data during a security incident investigation.
The Splunk environment has multiple indexers but only one search head.
Which approach can resolve this issue?

Answer: D

Explanation:
Why Usetstatsfor Faster Searches?
When a cybersecurity engineer experiences delays in retrieving indexed data, the best way to improve search performance is to usetstatsinstead of raw searches.
#What iststats?tstatsis a high-performance command that queries data from indexed fields only, rather than scanning raw events. This makes searches significantly faster and more efficient.
#Why is This the Best Approach?
tstatssearches are 10-100x faster than raw event searches.
It leverages metadata and indexed fields, reducing search load.
It minimizes memory and CPU usage on the search head and indexers.
#Example Use Case:#Scenario: The SOC team is investigating failed logins across multiple indexers.#Using a raw search:
index=security sourcetype=auth_logs action=failed | stats count by user
#Problem: This query scans millions of raw events, causing slow performance.
#Optimized usingtstats:
| tstats count where index=security sourcetype=auth_logs action=failed by user
#Advantage: Faster results without scanning raw events.
Why Not the Other Options?
#A. Increase search head memory allocation - May help, but inefficient queries will still slow down searches.
#C. Configure a search head cluster - A single search head isn't necessarily the problem; improvingsearch performance is more effective.#D. Implement accelerated data models - Useful for prebuilt dashboards, but won't improve ad-hoc searches.


NEW QUESTION # 78
......

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