Download Splunk SPLK-2002 Mock Test Study Material
SPLK-2002 Questions Prepare with Learning Information
NEW QUESTION # 13
What does setting site=site0on all Search Head Cluster members do in a multi-site indexer cluster?
- A. Sets all members to dynamic captaincy.
- B. Enables multisite search artifact replication.
- C. Disables search site affinity.
- D. Enables automatic search site affinity discovery.
Answer: C
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/DeploymultisiteSHC
NEW QUESTION # 14
Which of the following statements describe a Search Head Cluster (SHC) captain? (Select all that apply.)
- A. Synchronizes the member list with the KV store primary.
- B. Replicates the SHC's knowledge bundle to the search peers.
- C. Manages alert action suppressions (throttling).
- D. Is the job scheduler for the entire SHC.
Answer: B,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 # 15
Because Splunk indexing is read/write intensive, it is important to select the appropriate disk storage solution for each deployment. Which of the following statements is accurate about disk storage?
- A. Virtualized environments are usually preferred over bare metal for Splunk indexers.
- B. The recommended RAID setup is RAID 10 (1 + 0).
- C. Enable NFS for storing hot and warm buckets.
- D. High performance SAN should never be used.
Answer: B
Explanation:
Explanation
Splunk indexing is read/write intensive, as it involves reading data from various sources, writing data to disk, and reading data from disk for searching and reporting. Therefore, it is important to select the appropriate disk storage solution for each deployment, based on the performance, reliability, and cost requirements. The recommended RAID setup for Splunk indexers is RAID 10 (1 + 0), as it provides the best balance of performance and reliability. RAID 10 combines the advantages of RAID 1 (mirroring) and RAID 0 (striping), which means that it offers both data redundancy and data distribution. RAID 10 can tolerate multiple disk failures, as long as they are not in the same mirrored pair, and it can improve the read and write speed, as it can access multiple disks in parallel2 High performance SAN (Storage Area Network) can be used for Splunk indexers, but it is not recommended, as it is more expensive and complex than local disks. SAN also introduces additional network latency and dependency, which can affect the performance and availability of Splunk indexers. SAN is more suitable for Splunk search heads, as they are less read/write intensive and more CPU intensive2 NFS (Network File System) should not be used for storing hot and warm buckets, as it can cause data corruption, data loss, and performance degradation. NFS is a network-based file system that allows multiple clients to access the same files on a remote server. NFS is not compatible with Splunk index replication and search head clustering, as it can cause conflicts and inconsistencies among the Splunk instances. NFS is also slower and less reliable than local disks, as it depends on the network bandwidth and availability. NFS can be used for storing cold and frozen buckets, as they are less frequently accessed and less critical for Splunk operations2 Virtualized environments are not usually preferred over bare metal for Splunk indexers, as they can introduce additional overhead and complexity. Virtualized environments can affect the performance and reliability of Splunk indexers, as they share the physical resources and the network with other virtual machines. Virtualized environments can also complicate the monitoring and troubleshooting of Splunk indexers, as they add another layer of abstraction and configuration. Virtualized environments can be used for Splunk indexers, but they require careful planning and tuning to ensure optimal performance and availability2
NEW QUESTION # 16
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. Splunk can search data in the Hadoop File System (HDFS).
- D. You can forward data from Splunk forwarder to a third-party system without indexing it first.
Answer: A,D
NEW QUESTION # 17
What is the default log size for Splunk internal logs?
- A. 25MB
- B. 20 MB
- C. 30MB
- D. 10MB
Answer: A
NEW QUESTION # 18
To optimize the distribution of primary buckets; when does primary rebalancing automatically occur? (Select all
that apply.)
- A. A peer node joins or rejoins the cluster.
- B. Master node rejoins the cluster.
- C. Captain joins or rejoins cluster.
- D. Rolling restart completes.
Answer: A,B,D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Rebalancethecluster
NEW QUESTION # 19
What does the deployer do in a Search Head Cluster (SHC)? (Select all that apply.)
- A. Distributes non-search related and manual configuration file changes.
- B. Distributes apps to SHC members.
- C. Bootstraps a clean Splunk install for a SHC.
- D. Distributes runtime knowledge object changes made by users across the SHC.
Answer: A,B
NEW QUESTION # 20
When planning a search head cluster, which of the following is true?
- A. All search heads must use the same operating system.
- B. All indexers must belong to the underlying indexer cluster (no standalone indexers).
- C. All search heads must be members of the cluster (no standalone search heads).
- D. The search head captain must be assigned to the largest search head in the cluster.
Answer: B
Explanation:
Explanation
When planning a search head cluster, the following statement is true: All indexers must belong to the underlying indexer cluster (no standalone indexers). A search head cluster is a group of search heads that share configurations, apps, and search jobs. A search head cluster requires an indexer cluster as its data source, meaning that all indexers that provide data to the search head cluster must be members of the same indexer cluster. Standalone indexers, or indexers that are not part of an indexer cluster, cannot be used as data sources for a search head cluster. All search heads do not have to use the same operating system, as long as they are compatible with the Splunk version and the indexer cluster. All search heads do not have to be members of the cluster, as standalone search heads can also search the indexer cluster, but they will not have the benefits of configuration replication and load balancing. The search head captain does not have to be assigned to the largest search head in the cluster, as the captain is dynamically elected from among the cluster members based on various criteria, such as CPU load, network latency, and search load.
NEW QUESTION # 21
A customer has installed a 500GB Enterprise license. They also purchased and installed a 300GB, no enforcement license on the same license master. How much data can the customer ingest before search is locked out?
- A. 800GB. After this limit, search is locked out.
- B. 500GB. After this limit, search is locked out.
- C. Search is not locked out. Violations are still recorded.
- D. 300GB. After this limit, search is locked out.
Answer: C
NEW QUESTION # 22
Which of the following statements describe search head clustering? (Select all that apply.)
- A. A deployer is required.
- B. The deployer must have sufficient CPU and network resources to process service requests and push configurations.
- C. Search heads must meet the high-performance reference server requirements.
- D. At least three search heads are needed.
Answer: A,C
NEW QUESTION # 23
In which phase of the Splunk Enterprise data pipeline are indexed extraction configurations processed?
- A. Parsing
- B. Indexing
- C. Search
- D. Input
Answer: B
Explanation:
Explanation
Indexed extraction configurations are processed in the indexing phase of the Splunk Enterprise data pipeline.
The data pipeline is the process that Splunk uses to ingest, parse, index, and search data. Indexed extraction configurations are settings that determine how Splunk extracts fields from data at index time, rather than at search time. Indexed extraction can improve search performance, but it also increases the size of the index.
Indexed extraction configurations are applied in the indexing phase, which is the phase where Splunk writes the data and the .tsidx files to the index. The input phase is the phase where Splunk receives data from various sources and formats. The parsing phase is the phase where Splunk breaks the data into events, timestamps, and hosts. The search phase is the phase where Splunk executes search commands and returns results.
NEW QUESTION # 24
When should multiple search pipelines be enabled?
- A. Only if there are fewer than twelve concurrent users.
- B. Only if CPU and memory resources are significantly under-utilized.
- C. Only if disk IOPS is at 800 or better.
- D. Only if running Splunk Enterprise version 6.6 or later.
Answer: B
NEW QUESTION # 25
A customer plans to ingest 600 GB of data per day into Splunk. They will have six concurrent users, and they also want high data availability and high search performance. The customer is concerned about cost and wants to spend the minimum amount on the hardware for Splunk. How many indexers are recommended for this deployment?
- A. Two indexers clustered, assuming high availability is the greatest priority.
- B. Three indexers not in a cluster, assuming a long data retention period.
- C. Two indexers not in a cluster, assuming users run many long searches.
- D. Two indexers clustered, assuming a high volume of saved/scheduled searches.
Answer: A
Explanation:
Explanation
Two indexers clustered is the recommended deployment for a customer who plans to ingest 600 GB of data per day into Splunk, has six concurrent users, and wants high data availability and high search performance.
This deployment will provide enough indexing capacity and search concurrency for the customer's needs, while also ensuring data replication and searchability across the cluster. The customer can also save on the hardware cost by using only two indexers. Two indexers not in a cluster will not provide high data availability, as there is no data replication or failover. Three indexers not in a cluster will provide more indexing capacity and search concurrency, but also more hardware cost and no data availability. The customer's data retention period, number of long searches, or volume of saved/scheduled searches are not relevant for determining the number of indexers. For more information, see [Reference hardware] and [About indexer clusters and index replication] in the Splunk documentation.
NEW QUESTION # 26
In a distributed environment, knowledge object bundles are replicated from the search head to which location
on the search peer(s)?
- A. SPLUNK_HOME/var/spool/searchpeers
- B. SPLUNK_HOME/var/log/searchpeers
- C. SPLUNK_HOME/var/run/searchpeers
- D. SPLUNK_HOME/var/lib/searchpeers
Answer: C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/DistSearch/Whatsearchheadssend
NEW QUESTION # 27
Which of the following tasks should the architect perform when building a deployment plan? (Select all that apply.)
- A. Use case checklist.
- B. Install Splunk apps.
- C. Review network topology.
- D. Inventory data sources.
Answer: C
Explanation:
Explanation
NEW QUESTION # 28
Which of the following are client filters available in serverclass.conf? (Select all that apply.)
- A. IP address.
- B. DNS name.
- C. Platform (machine type).
- D. Splunk server role.
Answer: A,B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Updating/ Filterclients#Define_filters_through_serverclass.conf
NEW QUESTION # 29
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Splunk is a powerful software platform that helps organizations collect, analyze, and visualize machine-generated data. The platform is widely used across industries to gain insights into operational issues, security threats, and business opportunities. As Splunk adoption continues to grow, the demand for certified professionals who can effectively manage and optimize the platform has increased. The Splunk Enterprise Certified Architect (SPLK-2002) certification exam is designed to test the knowledge and skills required to become an expert in Splunk architecture and deployment.
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