Download Valid Splunk SPLK-2002 Exam Dumps for Success
Exam : SPLK-2002
Title : Splunk Enterprise Certified
Architect Exam
https://www.passcert.com/SPLK-2002.html
, Download Valid Splunk SPLK-2002 Exam Dumps for Success
1.Which of the following will cause the greatest reduction in disk size requirements for a cluster of N
indexers running Splunk Enterprise Security?
A. Setting the cluster search factor to N-1.
B. Increasing the number of buckets per index.
C. Decreasing the data model acceleration range.
D. Setting the cluster replication factor to N-1.
Answer: C
Explanation:
Decreasing the data model acceleration range will reduce the disk size requirements for a cluster of
indexers running Splunk Enterprise Security. Data model acceleration creates tsidx files that consume
disk space on the indexers. Reducing the acceleration range will limit the amount of data that is
accelerated and thus save disk space. Setting the cluster search factor or replication factor to N-1 will not
reduce the disk size requirements, but rather increase the risk of data loss. Increasing the number of
buckets per index will also increase the disk size requirements, as each bucket has a minimum size. For
more information, see Data model acceleration and Bucket size in the Splunk documentation.
2.Stakeholders have identified high availability for searchable data as their top priority.
Which of the following best addresses this requirement?
A. Increasing the search factor in the cluster.
B. Increasing the replication factor in the cluster.
C. Increasing the number of search heads in the cluster.
D. Increasing the number of CPUs on the indexers in the cluster.
Answer: A
Explanation:
Increasing the search factor in the cluster will best address the requirement of high availability for
searchable data. The search factor determines how many copies of searchable data are maintained by
the cluster. A higher search factor means that more indexers can serve the data in case of a failure or a
maintenance event. Increasing the replication factor will improve the availability of raw data, but not
searchable data. Increasing the number of search heads or CPUs on the indexers will improve the search
performance, but not the availability of searchable data. For more information, see Replication factor and
search factor in the Splunk documentation.
3.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. Replace the indexer storage to solid state drives (SSD).
B. Add more search heads and redistribute users based on the search type.
C. Look for slow searches and reschedule them to run during an off-peak time.
D. Add more search peers and make sure forwarders distribute data evenly across all indexers.
Answer: D
Explanation:
Adding more search peers and making sure forwarders distribute data evenly across all indexers will
provide the most search performance improvement when the distributed deployment is approaching its
capacity. Adding more search peers will increase the search concurrency and reduce the load on each
Exam : SPLK-2002
Title : Splunk Enterprise Certified
Architect Exam
https://www.passcert.com/SPLK-2002.html
, Download Valid Splunk SPLK-2002 Exam Dumps for Success
1.Which of the following will cause the greatest reduction in disk size requirements for a cluster of N
indexers running Splunk Enterprise Security?
A. Setting the cluster search factor to N-1.
B. Increasing the number of buckets per index.
C. Decreasing the data model acceleration range.
D. Setting the cluster replication factor to N-1.
Answer: C
Explanation:
Decreasing the data model acceleration range will reduce the disk size requirements for a cluster of
indexers running Splunk Enterprise Security. Data model acceleration creates tsidx files that consume
disk space on the indexers. Reducing the acceleration range will limit the amount of data that is
accelerated and thus save disk space. Setting the cluster search factor or replication factor to N-1 will not
reduce the disk size requirements, but rather increase the risk of data loss. Increasing the number of
buckets per index will also increase the disk size requirements, as each bucket has a minimum size. For
more information, see Data model acceleration and Bucket size in the Splunk documentation.
2.Stakeholders have identified high availability for searchable data as their top priority.
Which of the following best addresses this requirement?
A. Increasing the search factor in the cluster.
B. Increasing the replication factor in the cluster.
C. Increasing the number of search heads in the cluster.
D. Increasing the number of CPUs on the indexers in the cluster.
Answer: A
Explanation:
Increasing the search factor in the cluster will best address the requirement of high availability for
searchable data. The search factor determines how many copies of searchable data are maintained by
the cluster. A higher search factor means that more indexers can serve the data in case of a failure or a
maintenance event. Increasing the replication factor will improve the availability of raw data, but not
searchable data. Increasing the number of search heads or CPUs on the indexers will improve the search
performance, but not the availability of searchable data. For more information, see Replication factor and
search factor in the Splunk documentation.
3.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. Replace the indexer storage to solid state drives (SSD).
B. Add more search heads and redistribute users based on the search type.
C. Look for slow searches and reschedule them to run during an off-peak time.
D. Add more search peers and make sure forwarders distribute data evenly across all indexers.
Answer: D
Explanation:
Adding more search peers and making sure forwarders distribute data evenly across all indexers will
provide the most search performance improvement when the distributed deployment is approaching its
capacity. Adding more search peers will increase the search concurrency and reduce the load on each
