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Splunk SPLK-5002 Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • 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.
Thema 2
  • 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.
Thema 3
  • 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.
Thema 4
  • 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.
Thema 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 SPLK-5002 Lernressourcen & SPLK-5002 Praxisprüfung

Gehen Sie einen entscheidenden Schritt weiter. Mit der Splunk SPLK-5002 Zertifizierung erhalten Sie einen Nachweis Ihrer besonderen Qualifikationen und eine Anerkennung für Ihr technisches Fachwissen. Splunk bietet eine Reihe verschiedener SPLK-5002 Zertifizierungsprogramme für professionelle Benutzer an. Untersuchungen haben gezeigt, dass zertifizierte Fachleute häufig mehr verdienen als ihre Kollegen ohne Zertifizierung.

Splunk Certified Cybersecurity Defense Engineer SPLK-5002 Prüfungsfragen mit Lösungen (Q94-Q99):

94. Frage
What does Splunk's term "bucket" refer to in data indexing?

Antwort: D


95. Frage
When creating a detection, how might an engineer ensure that all possible contextual fields about a given asset and identity are added to a risk event?

Antwort: C

Begründung:
To ensure all possible contextual fields about an asset and identity are included in a risk event, the engineer should include the standard CIM fields (such as user, src, src_user, etc.) in the detection output. These fields are recognized by the Assets & Identities framework and automatically enrich risk events with relevant context.


96. Frage
Which actions can optimize case management in Splunk?(Choosetwo)

Antwort: B,D

Begründung:
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.


97. Frage
Which Splunk feature helps in tracking and documenting threat trends over time?

Antwort: C

Begründung:
Why Use Risk-Based Dashboards for Tracking Threat Trends?
Risk-based dashboards in Splunk Enterprise Security (ES) provide a structured way to track threats over time.
#How Risk-Based Dashboards Help:#Aggregate security events into risk scores # Helps prioritize high-risk activities.#Show historical trends of threat activity.#Correlate multiple risk factors across different security events.
#Example in Splunk ES:#Scenario: A SOC team tracks insider threat activity over 6 months.#The Risk-Based Dashboard shows:
Users with rising risk scores over time.
Patterns of malicious behavior (e.g., repeated failed logins + data exfiltration).
Correlation between different security alerts (e.g., phishing clicks # malware execution).
Why Not the Other Options?
#A. Event sampling - Helps with performance optimization, not threat trend tracking.#C. Summary indexing
- Stores precomputed data but is not designed for tracking risk trends.#D. Data model acceleration - Improves search speed, but doesn't track security trends.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Tracking Security Trends Using Risk-Based Dashboards: https://splunkbase.splunk.com#How to Build Risk-Based Analytics in Splunk: https://www.splunk.com/en_us/blog/security


98. Frage
Which of the following detections would use a high count of events with Windows Event Code 4740 grouped by a user to determine suspicious behavior?

Antwort: A

Begründung:
Windows Security Event ID 4740 records the condition "A user account was locked out." Consequently, a detection that counts EventCode 4740 events and aggregates them by user is specifically measuring repeated account-lockout activity. The appropriate detection is therefore Detect Excessive User Account Lockouts .
From a detection-engineering perspective, a useful analytic would establish a baseline or threshold and then aggregate by the affected account, for example conceptually using stats count by user. A high number of lockouts may indicate password spraying, credential-stuffing activity, an incorrectly configured service using stale credentials, or an automated process repeatedly authenticating with an invalid password. Context such as source workstation, account type, time window, and historical frequency would improve fidelity.
The distractors represent different telemetry classes. Excessive successful or failed logins normally involve authentication events such as 4624/4625 rather than 4740. Network-connection detections require network or endpoint connection telemetry, and AWS security scanning is unrelated to Windows account-lockout auditing.
The supplied material presents EventCode 4740 specifically in this detection-selection context on page 3.
Study Guide topics: Windows security telemetry, EventCode-based analytics, aggregation, account lockouts, authentication detections, threshold-based detection engineering.


99. Frage
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