Question # 1 What happens when an index cluster peer freezes a bucket? A. All indexers with a copy of the bucket will delete it.
B. The cluster master will ensure another copy of the bucket is made on the other peers to
meet the replication settings.
C. The cluster master will no longer perform fix-up activities for the bucket.
D. All indexers with a copy of the bucket will immediately roll it to frozen.
Click for Answer
C. The cluster master will no longer perform fix-up activities for the bucket.
Answer Description Explanation : When an index cluster peer freezes a bucket, it means that the bucket has
reached the end of its retention period and is either deleted or archived, depending on the
configuration. When a bucket is frozen, the cluster master will no longer perform fix-up
activities for the bucket, such as replicating it to other peers or promoting it to primary. The
cluster master will also update its list of buckets and remove the frozen bucket from the
peer’s inventory. Therefore, the correct answer is C. The cluster master will no longer
perform fix-up activities for the bucket.
Question # 2 A customer has a number of inefficient regex replacement transforms being applied. When
under heavy load the indexers are struggling to maintain the expected indexing rate. In a
worst-case scenario, which queue(s) would be expected to fill up? A. Typing, merging, parsing, input
B. Parsing
C. Typing
D. Indexing, typing, merging, parsing, input
Click for Answer
B. Parsing
Answer Description Explanation : The queue that would be expected to fill up in a worst case scenario when
the indexers are struggling to maintain the expected indexing rate due to inefficient regex
replacement transforms is the parsing queue. The parsing queue is the queue that holds
the events that are being parsed by the indexers. Parsing is the process of extracting fields,
timestamps, and other metadata from the raw data. Regex replacement transforms are part
of the parsing process, and they can be very CPU-intensive if they are not optimized.
Therefore, if the indexers are overloaded with inefficient regex replacement transforms, the
parsing queue will fill up faster than it can be emptied, and the indexing rate will suffer.
Therefore, the correct answer is B. Parsing.
Question # 3 Monitoring Console (MC) health check configuration items are stored in which configuration
file? A. healthcheck.conf
B. alert_actions.conf
C. distsearch.conf
D. checklist.conf
Click for Answer
D. checklist.conf
Answer Description Explanation : The Monitoring Console (MC) health check configuration items are stored in
a configuration file called checklist.conf. This file contains the definitions of the health
check items, such as the search, description, severity, tags, and categories. You can
modify this file to customize the existing health check items or create new ones. You can
also download new health check items from the Splunk Health Assistant Add-on on
splunkbase.
Question # 4 What does Splunk do when it indexes events? A. Extracts the top 10 fields.
B. Extracts metadata fields such as host, source, source type.
C. Performs parsing, merging, and typing processes on universal forwarders.
D. Create report acceleration summaries.
Click for Answer
B. Extracts metadata fields such as host, source, source type.
Answer Description Explanation : When Splunk indexes events, it extracts metadata fields such as host,
source, and source type from the raw data. These fields are used to identify and categorize
the events, and to enable efficient searching and filtering. Splunk also assigns a unique
identifier (_cd) and a timestamp (_time) to each event. Splunk does not extract the top 10
fields, perform parsing, merging, and typing processes on universal forwarders, or create
report acceleration summaries during indexing. These are separate processes that occur either before or after indexing. Therefore, the correct answer is B. Extracts metadata fields
such as host, source, source type.
Question # 5 Which of the following processor occur in the indexing pipeline? A. tcp out, syslog out
B. Regex replacement, annotator
C. Aggregator
D. UTF-8, linebreaker, header
Click for Answer
D. UTF-8, linebreaker, headerQuestion # 6 As a best practice which of the following should be used to ingest data on clustered
indexers? A. Monitoring (via a process), collecting data (modular inputs) from remote
systems/applications
B. Modular inputs, HTTP Event Collector (HEC), inputs.conf monitor stanza
C. Actively listening on ports, monitoring (via a process), collecting data from remote
systems/applications
D. splunktcp, splunktcp-ssl, HTTP Event Collector (HEC)
Click for Answer
D. splunktcp, splunktcp-ssl, HTTP Event Collector (HEC)
Answer Description Explanation : As a best practice, the following should be used to ingest data on clustered
indexers: splunktcp, splunktcp-ssl, HTTP Event Collector (HEC). These are the methods
that allow data to be sent to the indexers by forwarders or other data sources, without
requiring any configuration on the indexers themselves. The indexers can receive the data
on specific ports and index it according to the cluster settings. These methods also support
load balancing and encryption of the data. Therefore, the correct answer is D. splunktcp,
splunktcp-ssl, HTTP Event Collector (HEC).
Question # 7 A customer is using both internal Splunk authentication and LDAP for user management.
If a username exists in both $SPLUNK_HOME/etc/passwd and LDAP, which of the
following statements is accurate? A. The internal Splunk authentication will take precedence.
B. Authentication will only succeed if the password is the same in both systems.
C. The LDAP user account will take precedence.
D. Splunk will error as it does not support overlapping usernames
Click for Answer
D. Splunk will error as it does not support overlapping usernames
Answer Description Explanation : Splunk does not support overlapping usernames between internal Splunk
authentication and LDAP. If a username exists in both $SPLUNK_HOME/etc/passwd and
LDAP, Splunk will try to use the internal Splunk authentication first, as explained in the
previous question. However, if the user tries to change their password or edit their account
settings, Splunk will error with a message like "Cannot edit user: User exists in multiple
realms". This is because Splunk cannot determine which authentication scheme to use for
these actions. Therefore, it is recommended to avoid overlapping usernames between
internal Splunk authentication and LDAP.
Question # 8 What is the primary driver behind implementing indexer clustering in a customer’s
environment? A. To improve resiliency as the search load increases.
B. To reduce indexing latency.
C. To scale out a Splunk environment to offer higher performance capability.
D. To provide higher availability for buckets of data.
Click for Answer
C. To scale out a Splunk environment to offer higher performance capability.
Answer Description Explanation : The primary driver behind implementing indexer clustering in a customer’s
environment is to provide higher availability for buckets of data. Indexer clustering is a
feature of Splunk Enterprise that allows a group of indexers to replicate each other’s data,
so that the system keeps multiple copies of all data. This process is known as index
replication. By maintaining multiple, identical copies of Splunk Enterprise data, clusters
prevent data loss while promoting data availability for searching. Indexer clustering also
provides load balancing and failover capabilities for search and indexing operations.
The other options are incorrect because they are not the main reasons for using indexer
clustering. Option A is incorrect because indexer clustering does not improve resiliency as
the search load increases, but rather as the indexer load increases. Resiliency refers to the
ability of the cluster to maintain search and indexing performance under stress or failure
conditions. Option B is incorrect because indexer clustering does not reduce indexing
latency, but rather increases it slightly due to the overhead of replication. Indexing latency
refers to the time it takes for data to be indexed and searchable after ingestion. Option D is
incorrect because indexer clustering does not scale out a Splunk environment to offer
higher performance capability, but rather scales up a Splunk environment to offer higher
availability and resiliency. Scaling out refers to adding more nodes to a distributed system
to increase its capacity and throughput, while scaling up refers to adding more resources to
existing nodes to increase their performance and reliability.
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