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Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	Monitoring and Performance Tuning: The Monitoring and Performance Tuning section addresses strategies for overseeing and optimizing the performance of a Splunk deployment.
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	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 6	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.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q128-Q133):

NEW QUESTION # 128
What is the recommended approach when handling a security incident?

A. Take immediate actions based on intuition.
B. Rely solely on antivirus software.
C. Ignore the incident if it seems minor.
D. Follow a pre-defined incident response plan.

Answer: D

NEW QUESTION # 129
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?

A. Using lookup to include relevant information.
B. Using makeresults to add the ASNs to the search.
C. Using rex to extract this information at search time.
D. Using eval commands to calculate the ASN.

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 # 130
Which of the following is considered Personal Data under GDPR?

A. The birth date of an unidentified user.
B. An individual's address including their first and last name.
C. A company's registration number.
D. The name of a deceased individual.

Answer: B

NEW QUESTION # 131
Which of the following is a reason to use Data Model Acceleration in Splunk?

A. To quickly model various responses to a particular vulnerability.
B. To retrieve data faster than from a raw index.
C. To rapidly compare the use of various algorithms to detect anomalies.
D. To normalize the data associated with threats.

Answer: B

Explanation:
Data Model Acceleration builds and maintains summary indexes (tsidx summaries) for your data models, allowing tstats and other accelerated searches to pull results directly from these summaries instead of scanning the full raw events - dramatically speeding up query performance.

NEW QUESTION # 132
An organization is using Risk-Based Alerting (RBA). During the past few days, a user account generated multiple risk observations. Splunk refers to this account as what type of entity?

A. Risk Analysis
B. Risk Factor
C. Risk Object
D. Risk Index

Answer: C

NEW QUESTION # 133
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