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NEW QUESTION # 33
What does the deployer do in a Search Head Cluster (SHC)? (Select all that apply.)
- A. Distributes runtime knowledge object changes made by users across the SHC.
- B. Bootstraps a clean Splunk install for a SHC.
- C. Distributes non-search related and manual configuration file changes.
- D. Distributes apps to SHC members.
Answer: D
NEW QUESTION # 34
Which of the following clarification steps should be taken if apps are not appearing on a deployment client?
(Select all that apply.)
- A. Check deploymentclient.confof the deployment client.
- B. Check the content of SPLUNK_HOME/etc/appsof the deployment server.
- C. Check serverclass.confof the deployment server.
- D. Search for relevant events in splunkd.logof the deployment server.
Answer: A,B,C
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/177021/why-is-deployment-client-not-picking-up-changes- to.html
NEW QUESTION # 35
To optimize the distribution of primary buckets; when does primary rebalancing automatically occur? (Select all that apply.)
- A. Master node rejoins the cluster.
- B. Rolling restart completes.
- C. A peer node joins or rejoins the cluster.
- D. Captain joins or rejoins cluster.
Answer: A,B,C
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 # 36
Which index-time props.confattributes impact indexing performance? (Select all that apply.)
- A. LINE_BREAKER
- B. SHOULD_LINEMERGE
- C. REPORT
- D. ANNOTATE_PUNCT
Answer: A,B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Data/Configureeventlinebreaking
NEW QUESTION # 37
The KV store forms its own cluster within a SHC. What is the maximum number of SHC members KV store will
form?
- A. Unlimited
- B. 0
- C. 1
- D. 2
Answer: A
NEW QUESTION # 38
Which of the following is an indexer clustering requirement?
- A. Must share the same license pool.
- B. Must reside on a dedicated rack.
- C. Must use shared storage.
- D. Must have at least three members.
Answer: A
Explanation:
Explanation
An indexer clustering requirement is that the cluster members must share the same license pool and license master. A license pool is a group of licenses that are assigned to a set of Splunk instances. A license master is a Splunk instance that manages the distribution and enforcement of licenses in a pool. In an indexer cluster, all cluster members must belong to the same license pool and report to the same license master, to ensure that the cluster does not exceed the license limit and that the license violations are handled consistently. An indexer cluster does not require shared storage, because each cluster member has its own local storage for the index data. An indexer cluster does not have to reside on a dedicated rack, because the cluster members can be located on different physical or virtual machines, as long as they can communicate with each other. An indexer cluster does not have to have at least three members, because a cluster can have as few as two members, although this is not recommended for high availability
NEW QUESTION # 39
The KV store forms its own cluster within a SHC. What is the maximum number of SHC members KV store will form?
- A. 0
- B. 1
- C. Unlimited
- D. 2
Answer: D
Explanation:
Explanation
The KV store forms its own cluster within a SHC. The maximum number of SHC members KV store will form is 50. The KV store cluster is a subset of the SHC members that are responsible for replicating and storing the KV store data. The KV store cluster can have up to 50 members, but only 20 of them can be active at any given time. The other members are standby members that can take over if an active member fails. The KV store cluster cannot have more than 50 members, nor can it have an unlimited number of members. The KV store cluster cannot have 25 or 100 members, because these numbers are not multiples of 5, which is the minimum replication factor for the KV store cluster
NEW QUESTION # 40
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. Disables search site affinity.
- D. Enables automatic search site affinity discovery.
Answer: C
NEW QUESTION # 41
In an existing Splunk environment, the new index buckets that are created each day are about half the size of the incoming data. Within each bucket, about 30% of the space is used for rawdata and about 70% for index files.
What additional information is needed to calculate the daily disk consumption, per indexer, if indexer clustering is implemented?
- A. Total daily indexing volume, number of peer nodes, and number of accelerated searches.
- B. Replication factor, search factor, number of accelerated searches, and total disk size across cluster.
- C. Total daily indexing volume, number of peer nodes, replication factor, and search factor.
- D. Total daily indexing volume, replication factor, search factor, and number of search heads.
Answer: C
Explanation:
Explanation
The additional information that is needed to calculate the daily disk consumption, per indexer, if indexer clustering is implemented, is the total daily indexing volume, the number of peer nodes, the replication factor, and the search factor. These information are required to estimate how much data is ingested, how many copies of raw data and searchable data are maintained, and how many indexers are involved in the cluster. The number of accelerated searches, the number of search heads, and the total disk size across the cluster are not relevant for calculating the daily disk consumption, per indexer. For more information, see [Estimate your storage requirements] in the Splunk documentation.
NEW QUESTION # 42
Search dashboards in the Monitoring Console indicate that the distributed deployment is approaching its capacity. Which of the following options will provide the most search performance improvement?
- A. Add more search heads and redistribute users based on the search type.
- B. Look for slow searches and reschedule them to run during an off-peak time.
- C. Replace the indexer storage to solid state drives (SSD).
- D. Add more search peers and make sure forwarders distribute data evenly across all indexers.
Answer: D
NEW QUESTION # 43
Which of the following is a way to exclude search artifacts when creating a diag?
- A. SPLUNK_HOME/bin/splunk diag --exclude
- B. SPLUNK_HOME/bin/splunk diag --debug --refresh
- C. SPLUNK_HOME/bin/splunk diag --disable=dispatch
- D. SPLUNK_HOME/bin/splunk diag --filter-searchstrings
Answer: A
Explanation:
Explanation/Reference: https://splunkonbigdata.com/2018/10/01/splunk-diag/
NEW QUESTION # 44
When should multiple search pipelines be enabled?
- A. Only if disk IOPS is at 800 or better.
- B. Only if there are fewer than twelve concurrent users.
- C. Only if CPU and memory resources are significantly under-utilized.
- D. Only if running Splunk Enterprise version 6.6 or later.
Answer: C
NEW QUESTION # 45
Which of the following is a way to exclude search artifacts when creating a diag?
- A. SPLUNK_HOME/bin/splunk diag --exclude
- B. SPLUNK_HOME/bin/splunk diag --debug --refresh
- C. SPLUNK_HOME/bin/splunk diag --disable=dispatch
- D. SPLUNK_HOME/bin/splunk diag --filter-searchstrings
Answer: A
Explanation:
Explanation
The splunk diag --exclude command is a way to exclude search artifacts when creating a diag. A diag is a diagnostic snapshot of a Splunk instance that contains various logs, configurations, and other information.
Search artifacts are temporary files that are generated by search jobs and stored in the dispatch directory.
Search artifacts can be excluded from the diag by using the --exclude option and specifying the dispatch directory. The splunk diag --debug --refresh command is a way to create a diag with debug logging enabled and refresh the diag if it already exists. The splunk diag --disable=dispatch command is not a valid command, because the --disable option does not exist. The splunk diag --filter-searchstrings command is a way to filter out sensitive information from the search strings in the diag
NEW QUESTION # 46
Which tool(s) can be leveraged to diagnose connection problems between an indexer and forwarder? (Select
all that apply.)
- A. splunk btool
- B. telnet
- C. splunk btprobe
- D. tcpdump
Answer: A,D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.2/Security/
Troubleshootyouforwardertoindexerauthentication
NEW QUESTION # 47
Which of the following can a Splunk diagcontain?
- A. Server specs, current open connections, internal Splunk log files, 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. Splunk platform configuration details, Splunk users and their roles, current open connections, index listings
Answer: A
Explanation:
Explanation/Reference: https://splunkonbigdata.com/2018/10/01/splunk-diag/
NEW QUESTION # 48
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. Three indexers not in a cluster, assuming a long data retention period.
- B. Two indexers not in a cluster, assuming users run many long searches.
- C. Two indexers clustered, assuming a high volume of saved/scheduled searches.
- D. Two indexers clustered, assuming high availability is the greatest priority.
Answer: D
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 # 49
To optimize the distribution of primary buckets; when does primary rebalancing automatically occur? (Select all that apply.)
- A. Master node rejoins the cluster.
- B. Rolling restart completes.
- C. A peer node joins or rejoins the cluster.
- D. Captain joins or rejoins cluster.
Answer: A,B,C
NEW QUESTION # 50
Which of the following is true regarding Splunk Enterprise's performance? (Select all that apply.)
- A. Adding search heads provides additional CPU cores to run more concurrent searches.
- B. Adding search peers increases the search throughput as the search load increases.
- C. Adding RAM to existing search heads provides additional search capacity.
- D. Adding search peers increases the maximum size of search results.
Answer: A,B
Explanation:
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 # 51
Which of the following are true statements about Splunk indexer clustering?
- A. All peer nodes must run exactly the same Splunk version.
- B. The peer nodes must run the same or a later Splunk version than the master node.
- C. The search head must run the same or a later Splunk version than the peer nodes.
- D. The master node must run the same or a later Splunk version than search heads.
Answer: D
NEW QUESTION # 52
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The SPLK-2002 exam is a comprehensive test that covers a wide range of topics related to Splunk Enterprise. These include system administration, data onboarding, search head clustering, index management, security, and more. SPLK-2002 exam is designed to test the candidate's ability to design, implement, and manage complex Splunk environments.
Splunk SPLK-2002 exam is an essential certification for IT professionals who want to become experts in Splunk Enterprise architecture. Passing the exam demonstrates the candidate's knowledge, skills, and abilities in various aspects of Splunk, including deployment planning, troubleshooting, and optimization. To prepare for the exam, candidates can take the Splunk Enterprise Certified Architect training course and use other resources such as the Splunk documentation and community resources.
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