[May 06, 2024] ITPassLeader SPLK-2002 Exam Practice Test Questions (Updated 160 Questions)
Pass Splunk SPLK-2002 Exam Info and Free Practice Test
NEW QUESTION # 84
Which of the following is a best practice to maximize indexing performance?
- A. Use automatic source typing.
- B. Use the Splunk default settings.
- C. Minimize configuration generality.
- D. Not use pre-trained source types.
Answer: C
Explanation:
Explanation
A best practice to maximize indexing performance is to minimize configuration generality. Configuration generality refers to the use of generic or default settings for data inputs, such as source type, host, index, and timestamp. Minimizing configuration generality means using specific and accurate settings for each data input, which can reduce the processing overhead and improve the indexing throughput. Using automatic source typing, using the Splunk default settings, and not using pre-trained source types are examples of configuration generality, which can negatively affect the indexing performance
NEW QUESTION # 85
A Splunk architect has inherited the Splunk deployment at Buttercup Games and end users are complaining that the events are inconsistently formatted for a web sourcetype. Further investigation reveals that not all web logs flow through the same infrastructure: some of the data goes through heavy forwarders and some of the forwarders are managed by another department.
Which of the following items might be the cause for this issue?
- A. The indexers may have different configurations than the heavy forwarders.
- B. The data inputs are not properly configured across all the forwarders.
- C. The search head may have different configurations than the indexers.
- D. The forwarders managed by the other department are an older version than the rest.
Answer: D
NEW QUESTION # 86
What is a Splunk Job? (Select all that apply.)
- A. A user-defined Splunk capability.
- B. A search process kicked off via a report or an alert.
- C. Searches that are subjected to some usage quota.
- D. A child OS process manifested from the splunkd process.
Answer: A
NEW QUESTION # 87
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?
- A. Decrease the current deployment client phone home interval.
- B. Increase the current deployment client phone home interval.
- C. Reduce the number of apps in the Manager Node repository.
- D. Modify deploymentclient. conf to change from a Pull to Push mechanism.
Answer: B
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 # 88
A new Splunk customer is using syslog to collect data from their network devices on port 514. What is the best practice for ingesting this data into Splunk?
- A. Use a Splunk indexer to collect a network input on port 514 directly.
- B. Use a Splunk forwarder to collect the input on port 514 and forward the data.
- C. Configure syslog to send the data to multiple Splunk indexers.
- D. Configure syslog to write logs and use a Splunk forwarder to collect the logs.
Answer: D
NEW QUESTION # 89
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?
- A. splunk edit cluster-master
- B. splunk edit cluster-config
- C. splunk add cluster-config
- D. splunk add cluster-master
Answer: D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Configuremulti-clustersearch
NEW QUESTION # 90
Which of the following is a best practice to maximize indexing performance?
- A. Use automatic source typing.
- B. Use the Splunk default settings.
- C. Minimize configuration generality.
- D. Not use pre-trained source types.
Answer: C
Explanation:
A best practice to maximize indexing performance is to minimize configuration generality. Configuration generality refers to the use of generic or default settings for data inputs, such as source type, host, index, and timestamp. Minimizing configuration generality means using specific and accurate settings for each data input, which can reduce the processing overhead and improve the indexing throughput. Using automatic source typing, using the Splunk default settings, and not using pre-trained source types are examples of configuration generality, which can negatively affect the indexing performance
NEW QUESTION # 91
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. Captain joins or rejoins cluster.
- C. Master node rejoins the cluster.
- D. Rolling restart completes.
Answer: A,C,D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Rebalancethecluster
NEW QUESTION # 92
What is the algorithm used to determine captaincy in a Splunk search head cluster?
- A. Round-robin distribution consensus.
- B. Rapt distributed consensus.
- C. Rift distributed consensus.
- D. Raft distributed consensus.
Answer: D
Explanation:
Explanation
The algorithm used to determine captaincy in a Splunk search head cluster is Raft distributed consensus. Raft is a consensus algorithm that is used to elect a leader among a group of nodes in a distributed system. In a Splunk search head cluster, Raft is used to elect a captain among the cluster members. The captain is the cluster member that is responsible for coordinating the search activities, replicating the configurations and apps, and pushing the knowledge bundles to the search peers. The captain is dynamically elected based on various criteria, such as CPU load, network latency, and search load. The captain can change over time, depending on the availability and performance of the cluster members. Rapt, Rift, and Round-robin are not valid algorithms for determining captaincy in a Splunk search head cluster
NEW QUESTION # 93
When configuring a Splunk indexer cluster, what are the default values for replication and search factor?
replication_factor = 2
- A. search factor = 3
- B. search factor = 3
replication_factor = 3 - C. search_factor = 2
replication_factor = 2 - D. search_factor = 2
replication_factor = 3
Answer: C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Indexer/Thesearchfactor
NEW QUESTION # 94
What does setting site=site0 on all Search Head Cluster members do in a multi-site indexer cluster?
- A. Enables automatic search site affinity discovery.
- B. Disables search site affinity.
- C. Enables multisite search artifact replication.
- D. Sets all members to dynamic captaincy.
Answer: B
Explanation:
Explanation
Setting site=site0 on all Search Head Cluster members disables search site affinity. Search site affinity is a feature that allows search heads to preferentially search the peer nodes that are in the same site as the search head, to reduce network latency and bandwidth consumption. By setting site=site0, which is a special value that indicates no site, the search heads will search all peer nodes regardless of their site. Setting site=site0 does not set all members to dynamic captaincy, enable multisite search artifact replication, or enable automatic search site affinity discovery. Dynamic captaincy is a feature that allows any member to become the captain, and it is enabled by default. Multisite search artifact replication is a feature that allows search artifacts to be replicated across sites, and it is enabled by setting site_replication_factor to a value greater than 1. Automatic search site affinity discovery is a feature that allows search heads to automatically determine their site based on the network latency to the peer nodes, and it is enabled by setting site=auto
NEW QUESTION # 95
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. Captain joins or rejoins cluster.
- C. Master node rejoins the cluster.
- D. Rolling restart completes.
Answer: A,C,D
Explanation:
Explanation
Primary rebalancing automatically occurs when a rolling restart completes, a master node rejoins the cluster, or a peer node joins or rejoins the cluster. These events can cause the distribution of primary buckets to become unbalanced, so the master node will initiate a rebalancing process to ensure that each peer node has roughly the same number of primary buckets. Primary rebalancing does not occur when a captain joins or rejoins the cluster, because the captain is a search head cluster component, not an indexer cluster component. The captain is responsible for search head clustering, not indexer clustering
NEW QUESTION # 96
To reduce the captain's work load in a search head cluster, what setting will prevent scheduled searches from
running on the captain?
- A. adhoc_searchhead = true(on the current captain)
- B. adhoc_searchhead = true(on all members)
- C. captain_is_adhoc_searchhead = true(on the current captain)
- D. captain_is_adhoc_searchhead = true(on all members)
Answer: C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/DistSearch/Adhocclustermember
NEW QUESTION # 97
Which of the following can a Splunk diag contain?
- A. Splunk platform configuration details, Splunk users and their roles, current open connections, index listings
- B. KV store listings, internal Splunk log files, search peer bundles listings, indexed data
- C. Search history, Splunk users and their roles, running processes, indexed data
- D. Server specs, current open connections, internal Splunk log files, index listings
Answer: D
NEW QUESTION # 98
Which of the following statements describe search head clustering? (Select all that apply.)
- A. Search heads must meet the high-performance reference server requirements.
- B. At least three search heads are needed.
- C. The deployer must have sufficient CPU and network resources to process service requests and push configurations.
- D. A deployer is required.
Answer: B,C,D
Explanation:
Explanation
Search head clustering is a Splunk feature that allows a group of search heads to share configurations, apps, and knowledge objects, and to provide high availability and scalability for searching. Search head clustering has the following characteristics:
* A deployer is required. A deployer is a Splunk instance that distributes the configurations and apps to the members of the search head cluster. The deployer is not a member of the cluster, but a separate instance that communicates with the cluster master.
* At least three search heads are needed. A search head cluster must have at least three search heads to form a quorum and to ensure high availability. If the cluster has less than three search heads, it cannot function properly and will enter a degraded mode.
* The deployer must have sufficient CPU and network resources to process service requests and push configurations. The deployer is responsible for handling the requests from the cluster master and the cluster members, and for pushing the configurations and apps to the cluster members. Therefore, the deployer must have enough CPU and network resources to perform these tasks efficiently and reliably.
Search heads do not need to meet the high-performance reference server requirements, as this is not a mandatory condition for search head clustering. The high-performance reference server requirements are only recommended for optimal performance and scalability of Splunk deployments, but they are not enforced by Splunk.
NEW QUESTION # 99
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