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Splunk SPLK-5002 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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 (Q99-Q104):

NEW QUESTION # 99
While working in Mission Control, an analyst is looking to add enrichment and contextualize the finding that is being worked. If they were to click the execute icon next to the
"Mission_Control_Identifier_Reputation_Analysis" playbook, how many playbooks would execute?

Answer: A

Explanation:
Clicking the execute icon next to "Mission_Control_Identifier_Reputation_Analysis" triggers exactly 1 playbook. In Mission Control, each listed playbook is a discrete automation, so selecting it runs only that specific playbook for enrichment and contextualization.


NEW QUESTION # 100
Based on this example image, if it is detected that a member has been added to a security- enabled local group, how many risk events will be created?

Answer: B

Explanation:
In the example, there are two risk modifiers configured: one for the system (src) and one for the user. Each modifier creates a separate risk event with a score of 10. Therefore, the detection will generate 2 risk events in total.


NEW QUESTION # 101
Which action improves the effectiveness of notable events in Enterprise Security?

Answer: B


NEW QUESTION # 102
A company wants to implement risk-based detection for privileged account activities.
Whatshould they configure first?

Answer: B

Explanation:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
#Key Steps for Risk-Based Detection in Splunk ES:1##Define Privileged Accounts & Groups - Identify high- risk users (Admin, HR, Finance, CISO).2##Assign Risk Scores - Apply higher scores to actions involving privileged users.3##Enable Identity & Asset Correlation - Link users to assets for better detection.
4##Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
#Example in Splunk ES:
A domain admin logs in from an unusual location # Trigger high-risk alert A finance director downloads sensitive payroll data at midnight # Escalate for investigation Why Not the Other Options?
#B. Correlation searches with low thresholds - May generate excessive false positives, overwhelming the SOC.#C. Event sampling for raw data - Doesn't provide context for risk-based detection.#D. Automated dashboards for all accounts - Useful for visibility, but not the first step for risk-based security.
References & Learning Resources
#Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based-alerting.
html#Privileged Account Monitoring in Splunk: https://docs.splunk.com/Documentation/ES/latest/User
/RiskBasedAlerting#Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.
com


NEW QUESTION # 103
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?

Answer: C

Explanation:
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.


NEW QUESTION # 104
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