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Splunk SPLK-2002 Exam Syllabus Topics:

SectionObjectives
Monitoring and Scaling a Splunk Deployment- Identify monitoring tools and dashboards
- Explain resource allocation and performance tuning
- Describe scaling strategies
Planning and Designing a Splunk Deployment- Describe the key planning and design considerations
- List the data and resource requirements
- Determine the appropriate license volume and type
Data Collection and Ingestion- Describe data collection techniques
- Explain the use of Indexers and Heavy Forwarders
- Describe data routing and filtering
Managing Search Heads- Explain the configuration of search heads
- Describe the deployment of apps to search heads
- Describe search head pooling and clustering
Configuring Distributed Search- Describe the operation of distributed search
- Define search head clustering
- Explain the role of search heads and indexers
Introducing Splunk Architecture- Describe the relationship between components
- Identify Splunk components
- Identify the roles of each component
Managing Indexers and Indexer Clusters- Describe methods for troubleshooting indexer clusters
- Explain the management of indexer configurations
- Describe indexer cluster architecture
Troubleshooting a Splunk Deployment- Identify common issues and error messages
- Explain the use of internal logs
- Describe troubleshooting techniques
Managing Forwarders- Explain forwarder management
- Identify configuration methods
- Describe the types of forwarders

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The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of Splunk certified professional community. In this way, the Splunk Enterprise Certified Architect (SPLK-2002) can not only validate their skills and knowledge level but also put their careers on the right track. By doing this you can achieve your career objectives.

Splunk Enterprise Certified Architect Sample Questions (Q120-Q125):

NEW QUESTION # 120
What types of files exist in a bucket within a clustered index? (select all that apply)

Answer: A,D

Explanation:
According to the Splunk documentation1, a bucket within a clustered index contains two key types of files: the raw data in compressed form (rawdata) and the indexes that point to the raw data (tsidx files). A bucket can be either replicated or searchable, depending on whether it has both types of files or only the rawdata file. A replicated bucket is a bucket that has been copied from one peer node to another for the purpose of data replication. A searchable bucket is a bucket that has both the rawdata and the tsidx files, and can be searched by the search heads. The types of files that exist in a bucket within a clustered index are:
* Inside a searchable bucket, there is tsidx and rawdata. This is true because a searchable bucket contains both the data and the index files, and can be searched by the search heads1.
* Inside a replicated bucket, there is both tsidx and rawdata. This is true because a replicated bucket can also be a searchable bucket, if it has both the data and the index files. However, not all replicated buckets are searchable, as some of them might only have the rawdata file, depending on the replication factor and the search factor settings1.
The other options are false because:
* Inside a replicated bucket, there is only rawdata. This is false because a replicated bucket can also have the tsidx file, if it is a searchable bucket. A replicated bucket only has the rawdata file if it is a non-searchable bucket, which means that it cannot be searched by the search heads until it gets the tsidx file from another peer node1.
* Inside a searchable bucket, there is only tsidx. This is false because a searchable bucket always has both the tsidx and the rawdata files, as they are both required for searching the data. A searchable bucket cannot exist without the rawdata file, as it contains the actual data that the tsidx file points to1.


NEW QUESTION # 121
(When planning user management for a new Splunk deployment, which task can be disregarded?)

Answer: D

Explanation:
According to the Splunk Enterprise User Authentication and Authorization Guide, effective user management during deployment planning involves identifying how users will authenticate (native, LDAP, or SAML) and defining what roles and capabilities they will need to perform their tasks.
However, counting or analyzing the number of users who appear in Splunk log events (Option C) is not part of user management planning. This metric relates to audit and monitoring, not access provisioning or role assignment.
A proper user management plan should address:
* Authentication method selection (native, LDAP, or SAML).
* User mapping and provisioning workflows from existing identity stores.
* Role-based access control (RBAC) - assigning users appropriate permissions via Splunk roles and capabilities.
* Administrative governance - ensuring access policies align with compliance requirements.
Determining the number of users visible in log events provides no operational value when planning Splunk authentication or authorization architecture. Therefore, this task can be safely disregarded during initial planning.
References (Splunk Enterprise Documentation):
* User Authentication and Authorization in Splunk Enterprise
* Configuring LDAP and SAML Authentication
* Managing Users, Roles, and Capabilities
* Splunk Deployment Planning Manual - Security and Access Control Planning


NEW QUESTION # 122
A customer currently has many deployment clients being managed by a single, dedicated deployment server.
The customer plans to double the number of clients.
What could be done to minimize performance issues?

Answer: C

Explanation:
According to the Splunk documentation1, increasing the current deployment client phone home interval can minimize performance issues by reducing the frequency of communication between the clients and the deployment server. This can also reduce the network traffic and the load on the deployment server. The other options are false because:
* Modifying deploymentclient.conf to change from a Pull to Push mechanism is not possible, as Splunk
* does not support a Push mechanism for deployment server2.
* Reducing the number of apps in the Manager Node repository will not affect the performance of the deployment server, as the apps are only downloaded when there is a change in the configuration or a new app is added3.
* Decreasing the current deployment client phone home interval will increase the performance issues, as it will increase the frequency of communication between the clients and the deployment server, resulting in more network traffic and load on the deployment server1.


NEW QUESTION # 123
Which index-time props.conf attributes impact indexing performance? (Select all that apply.)

Answer: A,B


NEW QUESTION # 124
In search head clustering, which of the following methods can you use to transfer captaincy to a different member? (Select all that apply.)

Answer: C,D

Explanation:
Explanation
In search head clustering, there are two methods to transfer captaincy to a different member. One method is to use the Search Head Clustering settings menu from Splunk Web on any member. This method allows the user to select a specific member to become the new captain, or to let Splunk choose the best candidate. The other method is to run the splunk transfer shcluster-captain command from the member that the user wants to become the new captain. This method requires the user to know the name of the target member and to have access to the CLI of that member. Using the Monitoring Console is not a method to transfer captaincy, because the Monitoring Console does not have the option to change the captain. Running the splunk transfer shcluster-captain command from the current captain is not a method to transfer captaincy, because this command will fail with an error message


NEW QUESTION # 125
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