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Splunk SPLK-5001 Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	Monitoring and Performance Tuning: The Monitoring and Performance Tuning section addresses strategies for overseeing and optimizing the performance of a Splunk deployment.
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.
Topic 6	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.

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q97-Q102):

NEW QUESTION # 97
Which SPL syntax would be used to perform statistical queries on indexed fields to calculate the cumulative total risk by the system or user in the most efficient way?

A. | from datamodel:"Risk"."All Risk" | table risk_score risk_object
B. | tstats 'summariesonly' sum(All_Risk.calculated_risk_score) as
C. index=* |stats sum(risk_score) as risk_score count by risk_object
D. risk_score from datamodel=Risk.All_Risk by All_Risk.risk_object
E. index=risk |stats sum(risk_score) as risk_score count by risk_object

Answer: B

Explanation:
Using tstats with the summariesonly flag against the Risk data model leverages Splunk's accelerated data model summaries to compute the cumulative risk score by object entirely from tsidx summaries, making it far more efficient than raw-event searches.

NEW QUESTION # 98
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?

A. Fast
B. Smart
C. Adaptive
D. Verbose

Answer: D

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 # 99
Long-tail analysis is a threat-hunting technique used for which of the following?

A. Identifying and analyzing only the data from the last month.
B. Identifying and analyzing only the data from the last week.
C. Identifying and analyzing infrequent but potentially important events.
D. Identifying and analyzing common events.

Answer: C

Explanation:
Long-tail analysis focuses on the "long tail" of a data distribution - those rare or low-frequency events - which often surface subtle indicators of compromise that bulk analysis might miss.

NEW QUESTION # 100
An analyst is investigating the number of failed login attempts by IP address. Which SPL command can be used to create a temporary table containing the number of failed login attempts by IP address over a specific time period?

A. index=security_logs eventtype=failed_login | stats count as failed_attempts by src_ip | sort -failed_attempts
B. index=security_logs eventtype=failed_login | eval count as failed_attempts by src_ip | sort -failed_attempts
C. index=security_logs eventtype=failed_login | sum count as failed_attempts by src_ip | sort -failed_attempts
D. index=security_logs eventtype=failed_login | transaction count as failed_attempts by src_ip | sort -failed_attempts

Answer: A

NEW QUESTION # 101
What is the name of the threat-hunting technique that involves identifying data points that are least like the other points in a dataset?

A. Anomaly detection
B. Hypothesis checking
C. Stack counting
D. Timeline analysis

Answer: A

Explanation:
Anomaly detection is the process of identifying outliers - data points that deviate significantly from the norm - in a dataset. In threat hunting, it helps spot unusual activity that may indicate malicious behavior.

NEW QUESTION # 102
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