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Splunk SPLK-5001 Exam Syllabus Topics:

TopicDetails
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
  • 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 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.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q84-Q89):

NEW QUESTION # 84
A threat hunter is analyzing incoming emails during the past 30 days, looking for spam or phishing campaigns targeting many users. This involves finding large numbers of similar, but not necessarily identical, emails. The hunter extracts key datapoints from each email record, including the sender's address, recipient's address, subject, embedded URLs, and names of any attachments. Using the Splunk App for Data Science and Deep Learning, they then visualize each of these messages as points on a graph, looking for large numbers of points that occur close together. This is an example of what type of threat-hunting technique?

Answer: B


NEW QUESTION # 85
What is the main difference between a DDoS and a DoS attack?

Answer: B


NEW QUESTION # 86
Which of the following is a reason to use Data Model Acceleration in Splunk?

Answer: C

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 # 87
Which Splunk Enterprise Security framework provides a way to identify incidents from events and then manage the ownership, triage process, and state of those incidents?

Answer: D


NEW QUESTION # 88
While the top command is utilized to find the most common values contained within a field, a Cyber Defense Analyst hunts for anomalies. Which of the following Splunk commands returns the least common values?

Answer: C


NEW QUESTION # 89
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