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Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
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	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 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	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 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.

Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q22-Q27):

NEW QUESTION # 22
Which of the Enterprise Security frameworks provides additional automatic context and correlation to fields that exist within raw data?

A. Risk
B. Asset and Identity
C. Adaptive Response
D. Threat Intelligence

Answer: B

NEW QUESTION # 23
What is the main difference between a DDoS and a DoS attack?

A. A DDoS attack uses multiple sources to target a single system, while a DoS attack uses a single source to target a single or multiple systems.
B. A DDoS attack is a type of physical attack, while a DoS attack is a type of cyberattack.
C. A DDoS attack uses a single source to target multiple systems, while a DoS attack uses multiple sources to target a single system.
D. A DDoS attack uses a single source to target a single system, while a DoS attack uses multiple sources to target multiple systems.

Answer: A

NEW QUESTION # 24
Splunk Enterprise Security has numerous frameworks to create correlations, integrate threat intelligence, and provide a workflow for investigations. Which framework raises the threat profile of individuals or assets to allow identification of people or devices that perform an unusual amount of suspicious activities?

A. Risk Framework
B. Asset and Identity Framework
C. Notable Event Framework
D. Threat Intelligence Framework

Answer: A

NEW QUESTION # 25
An analyst needs to create a new field at search time. Which Splunk command will dynamically extract additional fields as part of a Search pipeline?

A. fields
B. regex
C. rex
D. eval

Answer: C

NEW QUESTION # 26
Which of the following is a best practice for searching in Splunk?

A. Raw word searches should contain multiple wildcards to ensure all edge cases are covered.
B. Searching over All Time ensures that all relevant data is returned.
C. Streaming commands run before aggregating commands in the Search pipeline.
D. Limit fields returned from the search utilizing the cable command.

Answer: D

NEW QUESTION # 27
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