SPLK-2002 Latest Questions | Reliable SPLK-2002 Exam Papers

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Splunk SPLK-2002 Exam Syllabus Topics:

Section	Objectives
Data Management and Indexing	- Index configuration and management - Data retention and lifecycle management - Parsing and indexing process
Security and Authentication	- Role-based access control (RBAC) - Authentication mechanisms - Encryption and data protection
Search Head Architecture	- Search head clustering - Search performance optimization - Knowledge object distribution
Indexer Clustering	- Failure recovery and resilience - Cluster master configuration - Replication and search factor management
Splunk Architecture Fundamentals	- Distributed architecture concepts - Forwarder and indexer roles - Data flow and pipeline architecture

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Splunk Enterprise Certified Architect Sample Questions (Q73-Q78):

NEW QUESTION # 73
Which of the following statements describe licensing in a clustered Splunk deployment? (Select all that apply.)

A. Cluster members must share the same license pool and license master.
B. Free licenses do not support clustering.
C. Each cluster member requires its own clustering license.
D. Replicated data does not count against licensing.

Answer: A,D

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Admin/Distdeploylicenses

NEW QUESTION # 74
Which of the following most improves KV Store resiliency?

A. Increase the size of the Operations Log.
B. Add indexer CPU and memory to decrease search latency.
C. Add faster storage to the search heads to improve artifact replication.
D. Decrease latency between search heads.

Answer: D

Explanation:
* KV Store is a feature of Splunk Enterprise that allows apps to store and retrieve data within the context of an app1.
* KV Store resides on search heads and replicates data across the members of a search head cluster1.
* KV Store resiliency refers to the ability of KV Store to maintain data availability and consistency in the event of failures or disruptions2.
* One of the factors that affects KV Store resiliency is the network latency between search heads, which can impact the speed and reliability of data replication2.
* Decreasing latency between search heads can improve KV Store resiliency by reducing the chances of data loss, inconsistency, or corruption2.
* The other options are not directly related to KV Store resiliency. Faster storage, indexer CPU and memory, and Operations Log size may affect other aspects of Splunk performance, but not KV Store345.
References: 1: About the app key value store 2: Configure and deploy KV Store using Splunk Enterprise 3: Creating and CRUDing a KV Store in Splunk: Part 1 4: KV store troubleshooting tools 5: Solved: Re: Disabling KV store

NEW QUESTION # 75
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)

A. You can use Splunk alerts to provision actions on a third-party system.
B. A Hadoop application can search data in Splunk.
C. You can forward data from Splunk forwarder to a third-party system without indexing it first.
D. Splunk can search data in the Hadoop File System (HDFS).

Answer: A,C

Explanation:
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third- party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible.
Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data. Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS

NEW QUESTION # 76
What does setting site=site0 on all Search Head Cluster members do in a multi-site indexer cluster?

A. Enables multisite search artifact replication.
B. Sets all members to dynamic captaincy.
C. Enables automatic search site affinity discovery.
D. Disables search site affinity.

Answer: D

NEW QUESTION # 77
Which of the following is true regarding Splunk Enterprise performance? (Select all that apply.)

A. Adding search heads provides additional CPU cores to run more concurrent searches.
B. Adding RAM to an existing search heads provides additional search capacity.
C. Adding search peers increases the maximum size of search results.
D. Adding search peers increases the search throughput as search load increases.

Answer: A,B

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Capacity/ HowsavedsearchesaffectSplunkEnterpriseperformance

NEW QUESTION # 78
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