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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
- 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 3
- 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 4
- 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 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.
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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q68-Q73):
NEW QUESTION # 68
Which of the following Splunk Enterprise Security features allows industry frameworks such as CIS Critical Security Controls, MITRE ATT&CK, and the Lockheed Martin Cyber Kill Chain to be mapped to Correlation Search results?
- A. Comments
- B. Annotations
- C. Enrichments
- D. Playbooks
Answer: B
NEW QUESTION # 69
What is the main difference between hypothesis-driven and data-driven Threat Hunting?
- A. 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.
- 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. Data-driven hunts always require more data to search through than hypothesis-driven hunts.
- D. Hypothesis-driven hunts are typically executed on newly ingested data sources, while data-driven hunts are not.
Answer: B
NEW QUESTION # 70
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?
- A. SIEM
- B. Intrusion Detection System
- C. Intrusion Prevention System
- D. Packet Sniffer
Answer: C
NEW QUESTION # 71
In which phase of the Continuous Monitoring cycle are suggestions and improvements typically made?
- A. Implement and Collect
- B. Define and Predict
- C. Establish and Architect
- D. Analyze and Report
Answer: D
NEW QUESTION # 72
Which of the following is considered Personal Data under GDPR?
- A. The birth date of an unidentified user.
- B. The name of a deceased individual.
- C. A company's registration number.
- D. An individual's address including their first and last name.
Answer: D
NEW QUESTION # 73
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