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Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
Topic 1	Installation and Configuration: In the Installation and Configuration section, the focus is on the procedures for installing and setting up Splunk Enterprise. This includes the installation process across different operating systems and the configuration of necessary components to ensure proper functionality. Key topics include installing the Splunk software, setting up the Deployment Server, and configuring Data Inputs for data collection and indexing.
Topic 2	Splunk Architecture and Deployment: The Splunk Architecture and Deployment section offers a detailed understanding of Splunk’s structure and deployment methods. It covers the core components of Splunk Enterprise, such as the Indexer, Search Head, and Forwarder. This section involves examining the design of Splunk deployments, including how these components interact and their specific roles.
Topic 3	Data Management and Indexing: The Data Management and Indexing section explores how Splunk processes data ingestion and indexing. It details the data pipeline, covering the stages of data collection, parsing, and indexing. This section also includes configuring data inputs and indexing settings, as well as managing indexing performance and data retention policies.
Topic 4	Troubleshooting and Maintenance: The Troubleshooting and Maintenance section focuses on diagnosing and resolving issues within a Splunk deployment. This involves using diagnostic tools and logs to troubleshoot common problems such as data ingestion issues, search performance, and system errors.
Topic 5	User Management and Security: The User Management and Security section focuses on controlling user access and securing the Splunk environment. It covers how to set up roles and permissions to manage access to Splunk features and data. This includes user authentication methods, such as integrating with external systems and managing user accounts. The section also discusses security best practices to protect against unauthorized access and ensure data confidentiality and integrity.
Topic 6	Data Integration and Apps: The Data Integration and Apps section explores how to integrate Splunk with other systems and utilize Splunk apps to extend its functionality. This includes integrating Splunk with external data sources and third-party applications, as well as configuring data inputs and outputs.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q30-Q35):

NEW QUESTION # 30
When should adaptive response actions be used in threat hunting?

A. Adaptive response actions are optional and not necessary for threat hunting.
B. Adaptive response actions should always be used for any security incident.
C. Adaptive response actions should be used to automate responses to security incidents.
D. Adaptive response actions should only be used for low-risk threats.

Answer: C

NEW QUESTION # 31
Enterprise Security has been configured to generate a Notable Event when a user has quickly authenticated from multiple locations between which travel would be impossible. This would be considered what kind of an anomaly?

A. Identity Anomaly
B. Endpoint Anomaly
C. Threat Anomaly
D. Access Anomaly

Answer: A

Explanation:
"Impossible travel" detections fall under Identity Anomalies in Splunk ES, as they flag unusual or impossible user authentication behavior tied to a specific identity.

NEW QUESTION # 32
A threat hunter executed a hunt based on the following hypothesis:
As an actor, I want to plant rundll32 for proxy execution of malicious code and leverage Cobalt Strike for Command and Control.
Relevant logs and artifacts such as Sysmon, netflow, IDS alerts, and EDR logs were searched, and the hunter is confident in the conclusion that Cobalt Strike is not present in the company's environment.
Which of the following best describes the outcome of this threat hunt?

A. The threat hunt was successful in providing strong evidence that the tactic and tool is not present in the environment.
B. The threat hunt failed because no malicious activity was identified.
C. The threat hunt failed because the hypothesis was not proven.
D. The threat hunt was successful because the hypothesis was not proven.

Answer: A

NEW QUESTION # 33
Which of the following Splunk terms describes a group of standard field names and values that categorize data in a way that makes it easier to work with, especially when dealing with multiple data sources?

A. Threat model
B. Field model
C. Standard model
D. Data model

Answer: D

Explanation:
A data model in Splunk is a structured framework of normalized field names and values that provides a consistent schema across diverse data sources, making it easier to search, report, and build dashboards on heterogeneous datasets.

NEW QUESTION # 34
Which Splunk resource provides pre-built content for assessing data sources and threat intelligence capabilities?

A. Splunk Add-on for Microsoft Exchange
B. Splunk Lantern
C. Splunk Enterprise Security (ES)
D. Splunk Security Essentials

Answer: D

NEW QUESTION # 35
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