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Splunk SPLK-1005 Exam Syllabus Topics:

Section	Weight	Objectives
Monitoring and Troubleshooting	20-25%	- Perform platform monitoring 1. Troubleshoot ingestion problems 2. Identify system issues 3. Analyze logs and alerts
Data Inputs and Forwarder Configuration	20-25%	- Configure data inputs 1. Monitor input status 2. Manage Universal Forwarders 3. Configure Heavy Forwarders
Indexes and Data Management	15-20%	- Manage indexed data 1. Manage retention policies 2. Optimize storage usage 3. Configure indexes
Splunk Cloud Administration	20-30%	- Administer Splunk Cloud environment 1. Perform maintenance operations 2. Manage cloud configuration 3. Implement security best practices
User and Role Administration	10-15%	- Manage users and permissions 1. Configure authentication 2. Apply access controls 3. Manage roles and capabilities

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Splunk Cloud Certified Admin Sample Questions (Q52-Q57):

NEW QUESTION # 52
Which of the following would always require raising a support ticket?

A. Capacity or configuration changes in Splunk Cloud.
B. Data is not indexed in Splunk Cloud.
C. A user is unable to log into Splunk Cloud.
D. Search does not return expected results in Splunk Cloud.

Answer: A

Explanation:
Explanation: Any modifications in capacity or configurations within Splunk Cloud require an official support ticket, as they are managed by Splunk Cloud support teams to ensure consistent and secure changes.
[Reference: Splunk Docs on Splunk Cloud support requests]

NEW QUESTION # 53
A log file is being ingested into Splunk, and a few events have no date stamp. How would Splunk first try to determine the missing date of the events?

A. Splunk will take the date of a previous event within the log file.
B. Splunk will use the current system time of the Indexer for the date.
C. Splunk will use the date of when the file monitor was created.
D. Splunk will take the date from the file modification time.

Answer: D

Explanation:
Explanation: When events lack a timestamp, Splunk defaults to using the file modification time, which is accessible metadata for parsing time information if no timestamp is present in the log entry. [Reference:
Splunk Docs on timestamp recognition]

NEW QUESTION # 54
Which of the following is true when using Intermediate Forwarders?

A. All Intermediate Forwarders must be Universal Forwarders.
B. Intermediate Forwarders may be Universal Forwarders or Heavy Forwarders, but may not be mixed.
C. All Intermediate Forwarders must be Heavy Forwarders.
D. Intermediate Forwarders may be a mix of Universal and Heavy Forwarders.

Answer: C

Explanation:
Intermediate Forwarders are special types of forwarders that sit between Universal Forwarders and indexers to perform additional processing tasks such as routing, filtering, or load balancing data before it reaches the indexers.
* B. All Intermediate Forwarders must be Heavy Forwardersis the correct answer. Heavy Forwarders are the only type of forwarder that can perform the necessary tasks required of an Intermediate Forwarder, such as parsing data, applying transformations, and routing based on specific rules.
Universal Forwarders are lightweight and cannot perform these complex tasks, thus cannot serve as Intermediate Forwarders.
Splunk Documentation References:
* Intermediate Forwarders

NEW QUESTION # 55
What is the name of the Splunk Enterprise feature that provides a security data and event management (SIEM) solution that uses machine data to detect and respond to threats?

A. Splunk Enterprise Security
B. Splunk Enterprise Monitoring
C. Splunk Enterprise Intelligence
D. Splunk Enterprise Analytics

Answer: A

NEW QUESTION # 56
A user has been asked to mask some sensitive data without tampering with the structure of the file /var/log
/purchase/transactions. log that has the following format:

Answer: B

Explanation:
Option B is the correct approach because it properly uses a TRANSFORMS stanza in props.conf to reference the transforms.conf for removing sensitive data. The transforms stanza in transforms.conf uses a regular expression (REGEX) to locate the sensitive data (in this case, the SuperSecretNumber) and replaces it with a masked version using the FORMAT directive.
In detail:
* props.confrefers to the transforms.conf stanza remove_sensitive_data by setting TRANSFORMS- cleanup = remove_sensitive_data.
* transforms.confdefines the regular expression that matches the sensitive data and specifies how the sensitive data should be replaced in the FORMAT directive.
This approach ensures that sensitive information is masked before indexing without altering the structure of the log files.
Splunk Cloud Reference:For further reference, you can look at Splunk's documentation regarding data masking and transformation through props.conf and transforms.conf.
Source:
* Splunk Docs: Anonymize data
* Splunk Docs: Props.conf and Transforms.conf

NEW QUESTION # 57
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