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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
  • 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 4
  • 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 5
  • 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 (Q31-Q36):

NEW QUESTION # 31
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: D


NEW QUESTION # 32
An analyst would like to test how certain Splunk SPL commands work against a small set of dat a. What command should start the search pipeline if they wanted to create their own data instead of utilizing data contained within Splunk?

Answer: B


NEW QUESTION # 33
What is the first phase of the Continuous Monitoring cycle?

Answer: B


NEW QUESTION # 34
Which Splunk search mode is best for searches that contain commands such as chart, timechart, and top, but the analyst still wants results in the events tab?

Answer: B

Explanation:
Verbose mode tells Splunk to retrieve and display all raw events and full field extractions, even when you use transforming commands like chart, timechart, or top. This ensures your statistical results appear alongside the underlying events in the Events tab.


NEW QUESTION # 35
The Security Operations team would like to track improvements after customizing dashboards to help analysts triage security alerts more efficiently. Which metric would they use?

Answer: C

Explanation:
By customizing dashboards to streamline alert triage, you shorten the interval between an alert's occurrence and its identification by analysts - exactly what Mean Time to Detect measures.


NEW QUESTION # 36
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