Exam SPLK-2002 Score - SPLK-2002 Certified

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Splunk SPLK-2002 Exam Syllabus Topics:

SectionWeightObjectives
Search Head Cluster8%- Scaling and member lifecycle management
- Architecture and deployment
- Deployer and captaincy management
Single-site Indexer Cluster8%- Configuration and deployment
- Upgrade and migration considerations
- Replication factor, search factor, and management
Multisite Indexer Cluster8%- Disaster recovery and high availability
- Configuration and cross-site operations
- Geographic deployment planning
Deployment Planning & Requirements Definition7%- Define deployment methodology and process
- Identify relevant applications and solutions
- Collect and analyze project and environment requirements
Performance Monitoring & Tuning5%- Configuration tuning: limits.conf, indexes.conf, props.conf
- System and indexer performance monitoring
- Search performance optimization
Clustering Concepts & Overview5%- Storage and replication requirements
- Indexer cluster fundamentals
- Search head cluster fundamentals
Troubleshooting Methodology & Tools14%- Log analysis and internal indexes
- Cluster and forwarding problem resolution
- Diagnostic tools and Splunk support model
- Resolve configuration, search, and deployment issues
Forwarder & Deployment Best Practices6%- Data collection and forwarding optimization
- Deployment server and configuration management
- Forwarder tier design and configuration
Infrastructure Planning12%- Topology design for ES, ITSI, and security
- Resource sizing: CPU, memory, storage, network
- Index design, retention, and data management
Indexer Cluster Administration & Operations7%- App bundle distribution and management
- Peer node maintenance and decommission
- Storage management and monitoring
Large-Scale Deployment Design5%- Enterprise architecture patterns
- Security and compliance design
- High availability and scalability

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Splunk Enterprise Certified Architect Sample Questions (Q153-Q158):

NEW QUESTION # 153
Which of the following is a way to exclude search artifacts when creating a diag?

Answer: D


NEW QUESTION # 154
A search head has successfully joined a single site indexer cluster. Which command is used to configure the same search head to join another indexer cluster?

Answer: C


NEW QUESTION # 155
When should a dedicated deployment server be used?

Answer: C

Explanation:
A dedicated deployment server is a Splunk instance that manages the distribution of configuration updates and apps to a set of deployment clients, such as forwarders, indexers, or search heads. A dedicated deployment server should be used when there are more than 50 deployment clients, because this number exceeds the recommended limit for a non-dedicated deployment server. A non-dedicated deployment server is a Splunk instance that also performs other roles, such as indexing or searching. Using a dedicated deployment server can improve the performance, scalability, and reliability of the deployment process. Option C is the correct answer. Option A is incorrect because the number of search peers does not affect the need for a dedicated deployment server. Search peers are indexers that participate in a distributed search. Option B is incorrect because the number of apps to deploy does not affect the need for a dedicated deployment server.
Apps are packages of configurations and assets that provide specific functionality or views in Splunk. Option D is incorrect because the number of server classes does not affect the need for a dedicated deployment server. Server classes are logical groups of deployment clients that share the same configuration updates and apps12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Updating/Aboutdeploymentserver 2: https://docs.
splunk.com/Documentation/Splunk/9.1.2/Updating/Whentousedeploymentserver


NEW QUESTION # 156
Which of the following statements describe a Search Head Cluster (SHC) captain? (Select all that apply.)

Answer: C,D

Explanation:
Explanation
The following statements describe a search head cluster captain:
* Is the job scheduler for the entire search head cluster. The captain is responsible for scheduling and dispatching the searches that run on the search head cluster, as well as coordinating the search results from the search peers. The captain also ensures that the scheduled searches are balanced across the search head cluster members and that the search concurrency limits are enforced.
* Replicates the search head cluster's knowledge bundle to the search peers. The captain is responsible for creating and distributing the knowledge bundle to the search peers, which contains the knowledge objects that are required for the searches. The captain also ensures that the knowledge bundle is consistent and up-to-date across the search head cluster and the search peers. The following statements do not describe a search head cluster captain:
* Manages alert action suppressions (throttling). Alert action suppressions are the settings that prevent an alert from triggering too frequently or too many times. These settings are managed by the search head
* that runs the alert, not by the captain. The captain does not have any special role in managing alert action suppressions.
* Synchronizes the member list with the KV store primary. The member list is the list of search head cluster members that are active and available. The KV store primary is the search head cluster member that is responsible for replicating the KV store data to the other members. These roles are not related to the captain, and the captain does not synchronize them. The member list and the KV store primary are determined by the RAFT consensus algorithm, which is independent of the captain election. For more information, see [About the captain and the captain election] and [About KV store and search head clusters] in the Splunk documentation.


NEW QUESTION # 157
Which of the following is true regarding Splunk Enterprise's performance? (Select all that apply.)

Answer: B,D

Explanation:
The following statements are true regarding Splunk Enterprise performance:
* Adding search peers increases the search throughput as search load increases. This is because adding more search peers distributes the search workload across more indexers, which reduces the load on each indexer and improves the search speed and concurrency.
* Adding search heads provides additional CPU cores to run more concurrent searches. This is because adding more search heads increases the number of search processes that can run in parallel, which
* improves the search performance and scalability. The following statements are false regarding Splunk Enterprise performance:
* Adding search peers does not increase the maximum size of search results. The maximum size of search results is determined by the maxresultrows setting in the limits.conf file, which is independent of the number of search peers.
* Adding RAM to an existing search head does not provide additional search capacity. The search capacity of a search head is determined by the number of CPU cores, not the amount of RAM. Adding RAM to a search head may improve the search performance, but not the search capacity. For more information, see Splunk Enterprise performance in the Splunk documentation.


NEW QUESTION # 158
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