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Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
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	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.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q126-Q131):

NEW QUESTION # 126
Which Splunk Enterprise Security dashboard displays authentication and access-related data?

A. Asset and Identity dashboards
B. Access dashboards
C. Endpoint dashboards
D. Audit dashboards

Answer: B

NEW QUESTION # 127
This technique is used by attackers to hide the presence of components like programs, files, and network connections by hooking into the OS and intercepting system API calls. It can reside at the user or kernel level. What technique is this?

A. Session hijacking
B. Guardrails
C. Rootkit
D. Spear phishing

Answer: C

Explanation:
A rootkit embeds itself at the user or kernel level, intercepting and tampering with operating-system API calls to conceal files, processes, registry keys, and network connections from standard system utilities.

NEW QUESTION # 128
Which of the following use cases is best suited to be a Splunk SOAR Playbook?

A. Visualizing complex datasets.
B. Forming hypothesis for Threat Hunting
C. Taking containment action on a compromised host
D. Creating persistent field extractions.

Answer: C

NEW QUESTION # 129
As an analyst, tracking unique users is a common occurrence. The Security Operations Center (SOC) manager requested a search with results in a table format to track the cumulative downloads by distinct IP address. Which example calculates the running total of distinct users over time?
eventtype="download" | bin _time span=1d as day | table clientip day

A. as ips dc(clientip) by day | streamstats dc(ips) as "Cumulative total"
B. user
eventtype="download" | bin _time span=1d as day | stats values(clientip)
C. as ips dc(clientip) by day
eventtype="download" | bin _time span=1d as day | stats values(clientip)
D. as ips dc(clientip) by user | table day ips
eventtype="download" | bin _time span=1d as day | stats values(clientip)

Answer: A

Explanation:
This search first bins events by day and uses stats to list each day's distinct IPs (ips) and count them (dc(clientip)). The streamstats dc(ips) as "Cumulative total" then computes a running distinct count of all IPs seen up through each day, giving the cumulative total you need.

NEW QUESTION # 130
Upon investigating a report of a web server becoming unavailable, the security analyst finds that the web server's access log has the same log entry millions of times:
147.186.119.200 - - [28/Jul/2023:12:04:13 -0300] "GET /login/ HTTP/1.0" 200 3733 What kind of attack is occurring?

A. Cross-Site Scripting Attack
B. Denial of Service Attack
C. Database Injection Attack
D. Distributed Denial of Service Attack

Answer: D

NEW QUESTION # 131
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