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Splunk SPLK-5001 Exam Syllabus Topics:

Section	Weight	Objectives
Investigation, Event Handling, Correlation, and Risk	20%	- Analyst metrics: MTTR, dwell time - Continuous monitoring and investigation stages - Built-in dashboards and their use cases - Enterprise Security components: SPL, Notable Events, Risk Notables - Event dispositions and classification
Threat and Attack Types, Motivations, and Tactics	20%	- Threat Intelligence tiers and application - Threat terminology: ransomware, social engineering, DDoS, APT, etc. - Tactics, Techniques, and Procedures (TTPs) - Annotations in Splunk Enterprise Security - Common attack types and vectors
Defenses, Data Sources, and SIEM Best Practices	20%	- Cyber defense systems and key data sources - Splunk Security Essentials and data source assessment - Splunk Enterprise Security concepts: CIM, Data Models, Asset and Identity frameworks
Reporting, Compliance, and Operations	20%	- Compliance frameworks and reporting requirements - Creating and customizing reports and alerts - Operational workflows and documentation
Understanding Cyber Landscape, Frameworks, and Standards	10%	- Information assurance concepts: confidentiality, integrity, availability, risk management - Cyber industry controls, standards and frameworks - Security Operations Center structure and roles
Threat Hunting and Remediation	10%	- Adaptive Response Actions configuration and use - Long tail analysis, outlier detection, hypothesis hunting - Threat hunting techniques: indicators, anomalies, behavioral analytics

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q26-Q31):

NEW QUESTION # 26
Which argument would an analyst use to search only accelerated data contained in the Network Traffic Data Model with the tstatscommand?

A. summariesonly=true
B. dataset=accelerated
C. accelerated=true
D. datamodel=accelerated

Answer: A

Explanation:
Adding summariesonly=true to your tstats call ensures it queries only the accelerated (summarized) portions of the Network Traffic data model, maximizing performance.

NEW QUESTION # 27
What is the main difference between hypothesis-driven and data-driven Threat Hunting?

A. Hypothesis-driven hunts are typically executed on newly ingested data sources, while data-driven hunts are not.
B. Data-driven hunting tries to uncover activity within an existing data set, hypothesis-driven hunting begins with a potential activity that the hunter thinks may be happening.
C. Hypothesis-driven hunting tries to uncover activity within an existing data set, data-driven hunting begins with an activity that the hunter thinks may be happening.
D. Data-driven hunts always require more data to search through than hypothesis-driven hunts.

Answer: B

NEW QUESTION # 28
There are different metrics that can be used to provide insights into SOC operations. If Mean Time to Respond is defined as the total time it takes for an Analyst to disposition an event, what is the typical starting point for calculating this metric for a particular event?

A. When the malicious event occurs.
B. When the SOC Manager is informed of the issue.
C. When a Notable Event is triggered.
D. When the end users are notified about the issue.

Answer: C

NEW QUESTION # 29
An adversary uses "LoudMiner" to hijack resources for crypto mining. What does this represent in a TTP framework?

A. Procedure
B. Problem
C. Tactic
D. Technique

Answer: A

Explanation:
In the TTP framework (Tactics, Techniques, and Procedures), a procedure refers to the specific implementation of a technique. "LoudMiner" is an actual malware tool used by adversaries to carry out resource hijacking for crypto mining. This makes it a procedure, since it is the concrete way the broader technique of resource hijacking is executed.

NEW QUESTION # 30
There are many resources for assisting with SPL and configuration questions. Which of the following resources feature community-sourced answers?

A. Splunk Guidebook
B. Splunk Documentation
C. Splunk Answers
D. Splunk Lantern

Answer: C

NEW QUESTION # 31
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