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Splunk SPLK-5001 Exam Syllabus Topics:

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

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q13-Q18):

NEW QUESTION # 13
Which of the TTP elements represent the adversary's goal - the reason for performing an action?

Answer: D

Explanation:
In the MITRE ATT&CK framework, a tactic defines the adversary's objective or goal-essentially the "why" behind their actions. Tactics categorize techniques by the adversary's intent, such as gaining initial access or exfiltrating data.


NEW QUESTION # 14
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

Explanation:
By representing each email as a point in a multi_dimensional space (based on sender, recipient, subject, URLs, attachments, etc.) and then identifying groups of points that lie close together, the hunter is using clustering to find batches of similar emails indicative of a campaign.


NEW QUESTION # 15
There are many resources for assisting with SPL and configuration questions. Which of the following resources feature community-sourced answers?

Answer: C


NEW QUESTION # 16
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 # 17
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: B


NEW QUESTION # 18
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