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Splunk SPLK-5001 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 5
  • Monitoring and Performance Tuning: The Monitoring and Performance Tuning section addresses strategies for overseeing and optimizing the performance of a Splunk deployment.
Topic 6
  • 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.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q12-Q17):

NEW QUESTION # 12
When threat hunting for outliers in Splunk, which of the following SPL pipelines would filter for users with over a thousand occurrences?

Answer: D


NEW QUESTION # 13
Which of the following is a reason to use Data Model Acceleration in Splunk?

Answer: B


NEW QUESTION # 14
A security analyst wants to enrich public IP addresses found within logs with the Autonomous System Number and owner of the address. What Splunk feature would enable the analyst to do this?

Answer: A

Explanation:
Splunk lookups allow analysts to enrich event data with external information. To map public IPs to Autonomous System Numbers (ASNs) and their owners, the analyst can configure or use an existing lookup table that correlates IP addresses with ASN data. This automatically adds the enrichment fields to the events during search.


NEW QUESTION # 15
Which of the following is a tactic used by attackers, rather than a technique?

Answer: C


NEW QUESTION # 16
A network security tool that continuously monitors a network for malicious activity and takes action to block it is known as which of the following?

Answer: B


NEW QUESTION # 17
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