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NEW QUESTION # 23
When Splunk indexes data in a non-clustered environment, what kind of files does it create by default?
- A. Index and .tsidx files.
- B. Compressed and .tsidx files.
- C. Rawdata and index files.
- D. Compressed and meta data files.
Answer: A
Explanation:
Explanation
When Splunk indexes data in a non-clustered environment, it creates index and .tsidx files by default. The index files contain the raw data that Splunk has ingested, compressed and encrypted. The .tsidx files contain the time-series index that maps the timestamps and event IDs of the raw data. The rawdata and index files are not the correct terms for the files that Splunk creates. The compressed and .tsidx files are partially correct, but compressed is not the proper name for the index files. The compressed and meta data files are also partially correct, but meta data is not the proper name for the .tsidx files.
NEW QUESTION # 24
A monitored log file is changing on the forwarder. However, Splunk searches are not finding any new data that has been added. What are possible causes? (select all that apply)
- A. An admin has removed the Splunk fishbucket on the forwarder.
- B. The last 256 bytes of the monitored file are not changing.
- C. An admin ran splunk clean eventdata -index <indexname> on the indexer.
- D. The first 256 bytes of the monitored file are not changing.
Answer: A,B
Explanation:
A monitored log file is changing on the forwarder, but Splunk searches are not finding any new data that has been added. This could be caused by two possible reasons:
B: An admin has removed the Splunk fishbucket on the forwarder.
C: The last 256 bytes of the monitored file are not changing. Option B is correct because the Splunk fishbucket is a directory that stores information about the files that have been monitored by Splunk, such as the file name, size, modification time, and CRC checksum. If an admin removes the fishbucket, Splunk will lose track of the files that have been previously indexed and will not index any new data from those files. Option C is correct because Splunk uses the CRC checksum of the last 256 bytes of a monitored file to determine if the file has changed since the last time it was read. If the last 256 bytes of the file are not changing, Splunk will assume that the file is unchanged and will not index any new data from it. Option A is incorrect because running the splunk clean eventdata -index <indexname> command on the indexer will delete all the data from the specified index, but it will not affect the forwarder's ability to send new data to the indexer. Option D is incorrect because Splunk does not use the first 256 bytes of a monitored file to determine if the file has changed12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Data/Monitorfilesanddirectories 2:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/Didyouloseyourfishbucket
NEW QUESTION # 25
Where in the Job Inspector can details be found to help determine where performance is affected?
- A. Search Job Properties > runtime
- B. Execution Costs > Components
- C. Search Job Properties > runDuration
- D. Job Details Dashboard > Total Events Matched
Answer: B
Explanation:
This is where in the Job Inspector details can be found to help determine where performance is affected, as it shows the time and resources spent by each component of the search, such as commands, subsearches, lookups, and post-processing1. The Execution Costs > Components section can help identify the most expensive or inefficient parts of the search, and suggest ways to optimize or improve the search performance1.
The other options are not as useful as the Execution Costs > Components section for finding performance issues. Option A, Search Job Properties > runDuration, shows the total time, in seconds, that the search took to run2. This can indicate the overall performance of the search, but it does not provide any details on the specific components or factors that affected the performance. Option B, Search Job Properties > runtime, shows the time, in seconds, that the search took to run on the search head2. This can indicate the performance of the search head, but it does not account for the time spent on the indexers or the network. Option C, Job Details Dashboard > Total Events Matched, shows the number of events that matched the search criteria3. This can indicate the size and scope of the search, but it does not provide any information on the performance or efficiency of the search. Therefore, option D is the correct answer, and options A, B, and C are incorrect.
1: Execution Costs > Components 2: Search Job Properties 3: Job Details Dashboard
NEW QUESTION # 26
In a four site indexer cluster, which configuration stores two searchable copies at the origin site, one searchable copy at site2, and a total of four searchable copies?
- A. site_replication_factor = origin:2, site2:1, total:4
- B. site_search_factor = origin:2, site2:1, total:4
- C. site_replication_factor = origin:2, site1:2, total:4
- D. site_search_factor = origin:2, site1:2, total:4
Answer: A
NEW QUESTION # 27
A Splunk environment collecting 10 TB of data per day has 50 indexers and 5 search heads. A single-site indexer cluster will be implemented. Which of the following is a best practice for added data resiliency?
- A. Set the Replication Factor to 49.
- B. Always use the default Replication Factor of 3.
- C. Set the Replication Factor based on allowed indexer failure.
- D. Set the Replication Factor based on allowed search head failure.
Answer: C
Explanation:
The correct answer is B. Set the Replication Factor based on allowed indexer failure. This is a best practice for adding data resiliency to a single-site indexer cluster, as it ensures that there are enough copies of each bucket to survive the loss of one or more indexers without affecting the searchability of the data1. The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Replication Factor should be set according to the number of indexers that can fail without compromising the cluster's ability to serve data1. For example, if the cluster can tolerate the loss of two indexers, the Replication Factor should be set to three1.
The other options are not best practices for adding data resiliency. Option A, setting the Replication Factor to
49, is not recommended, as it would create too many copies of each bucket and consume excessive disk space and network bandwidth1. Option C, always using the default Replication Factor of 3, is not optimal, as it may not match the customer's requirements and expectations for data availability and performance1. Option D, setting the Replication Factor based on allowed search head failure, is not relevant, as the Replication Factor does not affect the search head availability, but the searchability of the data on the indexers1. Therefore, option B is the correct answer, and options A, C, and D are incorrect.
1: Configure the replication factor 2: About indexer clusters and index replication
NEW QUESTION # 28
What is the expected minimum amount of storage required for data across an indexer cluster with the following input and parameters?
* Raw data = 15 GB per day
* Index files = 35 GB per day
* Replication Factor (RF) = 2
* Search Factor (SF) = 2
- A. 100 GB per day
- B. 85 GB per day
- C. 65 GB per day
- D. 50 GB per day
Answer: A
Explanation:
The correct answer is C. 100 GB per day. This is the expected minimum amount of storage required for data across an indexer cluster with the given input and parameters. The storage requirement can be calculated by adding the raw data size and the index files size, and then multiplying by the Replication Factor and the Search Factor1. In this case, the calculation is:
(15 GB + 35 GB) x 2 x 2 = 100 GB
The Replication Factor is the number of copies of each bucket that the cluster maintains across the set of peer nodes2. The Search Factor is the number of searchable copies of each bucket that the cluster maintains across the set of peer nodes3. Both factors affect the storage requirement, as they determine how many copies of the data are stored and searchable on the indexers. The other options are not correct, as they do not match the result of the calculation. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Estimate storage requirements 2: About indexer clusters and index replication 3: Configure the search factor
NEW QUESTION # 29
When preparing to ingest a new data source, which of the following is optional in the data source assessment?
- A. Data format
- B. Data location
- C. Data volume
- D. Data retention
Answer: D
Explanation:
Data retention is optional in the data source assessment because it is not directly related to the ingestion process. Data retention is determined by the index configuration and the storage capacity of the Splunk platform. Data format, data location, and data volume are all essential information for planning how to collect, parse, and index the data source.
References:
* Drive more value through data source and use case optimization - Splunk, page 9
* Data source planning for Splunk Enterprise Security
NEW QUESTION # 30
To reduce the captain's work load in a search head cluster, what setting will prevent scheduled searches from running on the captain?
- A. captain_is_adhoc_searchhead = true (on all members)
- B. adhoc_searchhead = true (on all members)
- C. captain_is_adhoc_searchhead = true (on the current captain)
- D. adhoc_searchhead = true (on the current captain)
Answer: C
Explanation:
Explanation
To reduce the captain's work load in a search head cluster, the setting that will prevent scheduled searches from running on the captain is captain_is_adhoc_searchhead = true (on the current captain). This setting will designate the current captain as an ad hoc search head, which means that it will not run any scheduled searches, but only ad hoc searches initiated by users. This will reduce the captain's work load and improve the search head cluster performance. The adhoc_searchhead = true (on all members) setting will designate all search head cluster members as ad hoc search heads, which means that none of them will run any scheduled searches, which is not desirable. The adhoc_searchhead = true (on the current captain) setting will have no effect, as this setting is ignored by the captain. The captain_is_adhoc_searchhead = true (on all members) setting will have no effect, as this setting is only applied to the current captain. For more information, see Configure the captain as an ad hoc search head in the Splunk documentation.
NEW QUESTION # 31
The frequency in which a deployment client contacts the deployment server is controlled by what?
- A. polling_interval attribute in deploymentclient.conf
- B. phoneHomeIntervalInSecs attribute in deploymentclient.conf
- C. phoneHomeIntervalInSecs attribute in outputs.conf
- D. polling_interval attribute in outputs.conf
Answer: B
Explanation:
Explanation
The frequency in which a deployment client contacts the deployment server is controlled by the phoneHomeIntervalInSecs attribute in deploymentclient.conf. This attribute specifies how often the deployment client checks in with the deployment server to get updates on the apps and configurations that it should receive. The polling_interval attribute in outputs.conf controls how often the forwarder sends data to the indexer or another forwarder. The polling_interval attribute in deploymentclient.conf and the phoneHomeIntervalInSecs attribute in outputs.conf are not valid Splunk attributes. For more information, see Configure deployment clients and Configure forwarders with outputs.conf in the Splunk documentation.
NEW QUESTION # 32
Which component in the splunkd.logwill log information related to bad event breaking?
- A. IndexingPipeline
- B. Audittrail
- C. EventBreaking
- D. AggregatorMiningProcessor
Answer: D
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/141721/error-in-splunkd-log-breaking-event-because-limit-of-
256-has-been-exceeded.html
NEW QUESTION # 33
Which Splunk internal index contains license-related events?
_audit
- A. _license
- B. _introspection
- C. _internal
Answer: C
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/579494/how-to-display-license-consumed-by-an-index-over-
2.html
NEW QUESTION # 34
Which of the following strongly impacts storage sizing requirements for Enterprise Security?
- A. The number of scheduled (correlation) searches.
- B. The number of Splunk users configured.
- C. The number of Data Models accelerated.
- D. The number of source types used in the environment.
Answer: C
Explanation:
Data Model acceleration is a feature that enables faster searches over large data sets by summarizing the raw data into a more efficient format. Data Model acceleration consumes additional disk space, as it stores both the raw data and the summarized data. The amount of disk space required depends on the size and complexity of the Data Model, the retention period of the summarized data, and the compression ratio of the data. According to the Splunk Enterprise Security Planning and Installation Manual, Data Model acceleration is one of the factors that strongly impacts storage sizing requirements for Enterprise Security. The other factors are the volume and type of data sources, the retention policy of the data, and the replication factor and search factor of the index cluster. The number of scheduled (correlation) searches, the number of Splunk users configured, and the number of source types used in the environment are not directly related to storage sizing requirements for Enterprise Security1
1: https://docs.splunk.com/Documentation/ES/6.6.0/Install/Plan#Storage_sizing_requirements
NEW QUESTION # 35
Configurations from the deployer are merged into which location on the search head cluster member?
- A. SPLUNK_HOME/etc/apps/search/default
- B. SPLUNK_HOME/etc/system/local
- C. SPLUNK_HOME/etc/apps/APP_HOME/default
- D. SPLUNK_HOME/etc/apps/APP_HOME/local
Answer: B
NEW QUESTION # 36
Which component in the splunkd.log will log information related to bad event breaking?
- A. IndexingPipeline
- B. Audittrail
- C. EventBreaking
- D. AggregatorMiningProcessor
Answer: D
Explanation:
The AggregatorMiningProcessor component in the splunkd.log file will log information related to bad event breaking. The AggregatorMiningProcessor is responsible for breaking the incoming data into events and applying the props.conf settings. If there is a problem with the event breaking, such as incorrect timestamps, missing events, or merged events, the AggregatorMiningProcessor will log the error or warning messages in the splunkd.log file. The Audittrail component logs information about the audit events, such as user actions, configuration changes, and search activity. The EventBreaking component logs information about the event breaking rules, such as the LINE_BREAKER and SHOULD_LINEMERGE settings. The IndexingPipeline component logs information about the indexing pipeline, such as the parsing, routing, and indexing phases.
For more information, see About Splunk Enterprise logging and [Configure event line breaking] in the Splunk documentation.
NEW QUESTION # 37
A Splunk user successfully extracted an ip address into a field called src_ip. Their colleague cannot see that
field in their search results with events known to have src_ip. Which of the following may explain the
problem? (Select all that apply.)
- A. The Typing Queue, which does regular expression replacements, is blocked.
- B. The field was extracted as a private knowledge object.
- C. The events are tagged as communicate, but are missing the network tag.
- D. The colleague did not explicitly use the field in the search and the search was set to Fast Mode.
Answer: D
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/657187/map-command-field-not-being-evaluated.html
NEW QUESTION # 38
New data has been added to a monitor input file. However, searches only show older data.
Which splunkd. log channel would help troubleshoot this issue?
- A. TailingProcessor
- B. ChunkedLBProcessor
- C. ArchiveProcessor
- D. Modularlnputs
Answer: A
Explanation:
The TailingProcessor channel in the splunkd.log file would help troubleshoot this issue, because it contains information about the files that Splunk monitors and indexes, such as the file path, size, modification time, and CRC checksum. It also logs any errors or warnings that occur during the file monitoring process, such as permission issues, file rotation, or file truncation. The TailingProcessor channel can help identify if Splunk is reading the new data from the monitor input file or not, and what might be causing the problem. Option B is the correct answer. Option A is incorrect because the ModularInputs channel logs information about the modular inputs that Splunk uses to collect data from external sources, such as scripts, APIs, or custom applications. It does not log information about the monitor input file. Option C is incorrect because the ChunkedLBProcessor channel logs information about the load balancing process that Splunk uses to distribute data among multiple indexers. It does not log information about the monitor input file. Option D is incorrect because the ArchiveProcessor channel logs information about the archive process that Splunk uses to move data from the hot/warm buckets to the cold/frozen buckets. It does not log information about the monitor input file12
1:
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/WhatSplunklogsaboutitself#splunkd.log 2
https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting/Didyouloseyourfishbucket#Check_the_sp
NEW QUESTION # 39
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 search head may have different configurations than the indexers.
- C. The forwarders managed by the other department are an older version than the rest.
- D. The data inputs are not properly configured across all the forwarders.
Answer: A
NEW QUESTION # 40
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 not in a cluster, assuming users run many long searches.
- B. Two indexers clustered, assuming a high volume of saved/scheduled searches.
- C. Three indexers not in a cluster, assuming a long data retention period.
- D. Two indexers clustered, assuming high availability is the greatest priority.
Answer: D
Explanation:
Explanation
https://docs.splunk.com/Documentation/Splunk/8.1.0/DistSearch/Distsearchsystemrequirements
NEW QUESTION # 41
How does the average run time of all searches relate to the available CPU cores on the indexers?
- A. Average run time is independent of the number of CPU cores on the indexers.
- B. Average run time decreases as the number of CPU cores on the indexers decreases.
- C. Average run time increases as the number of CPU cores on the indexers increases.
- D. Average run time increases as the number of CPU cores on the indexers decreases.
Answer: D
Explanation:
Explanation
The average run time of all searches increases as the number of CPU cores on the indexers decreases. The CPU cores are the processing units that execute the instructions and calculations for the data. The number of CPU cores on the indexers affects the search performance, because the indexers are responsible for retrieving and filtering the data from the indexes. The more CPU cores the indexers have, the faster they can process the data and return the results. The less CPU cores the indexers have, the slower they can process the data and return the results. Therefore, the average run time of all searches is inversely proportional to the number of CPU cores on the indexers. The average run time of all searches is not independent of the number of CPU cores on the indexers, because the CPU cores are an important factor for the search performance. The average run time of all searches does not decrease as the number of CPU cores on the indexers decreases, because this would imply that the search performance improves with less CPU cores, which is not true. The average run time of all searches does not increase as the number of CPU cores on the indexers increases, because this would imply that the search performance worsens with more CPU cores, which is not true
NEW QUESTION # 42
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
Explanation:
Multiple search pipelines should be enabled only if CPU and memory resources are significantly under-utilized. Search pipelines are the processes that execute search commands and return results. Multiple search pipelines can improve the search performance by running concurrent searches in parallel. However, multiple search pipelines also consume more CPU and memory resources, which can affect the overall system performance. Therefore, multiple search pipelines should be enabled only if there are enough CPU and memory resources available, and if the system is not bottlenecked by disk I/O or network bandwidth. The number of concurrent users, the disk IOPS, and the Splunk Enterprise version are not relevant factors for enabling multiple search pipelines
NEW QUESTION # 43
Which of the following should be included in a deployment plan?
- A. A comprehensive list of stakeholders, either direct or indirect.
- B. Current logging details and data source inventory.
- C. Current and future topology diagrams of the IT environment.
- D. Business continuity and disaster recovery plans.
Answer: A
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/CoE/ssf/Handbook/StakeholderReg
NEW QUESTION # 44
Which of the following artifacts are included in a Splunk diag file? (Select all that apply.)
- A. OS settings.
- B. Customer data.
- C. Configuration files.
- D. Internal logs.
Answer: C,D
Explanation:
Explanation
The following artifacts are included in a Splunk diag file:
* Internal logs. These are the log files that Splunk generates to record its own activities, such as splunkd.log, metrics.log, audit.log, and others. These logs can help troubleshoot Splunk issues and monitor Splunk performance.
* Configuration files. These are the files that Splunk uses to configure various aspects of its operation, such as server.conf, indexes.conf, props.conf, transforms.conf, and others. These files can help understand Splunk settings and behavior. The following artifacts are not included in a Splunk diag file:
* OS settings. These are the settings of the operating system that Splunk runs on, such as the kernel version, the memory size, the disk space, and others. These settings are not part of the Splunk diag file, but they can be collected separately using the diag --os option.
* Customer data. These are the data that Splunk indexes and makes searchable, such as the rawdata and the tsidx files. These data are not part of the Splunk diag file, as they may contain sensitive or confidential information. For more information, see Generate a diagnostic snapshot of your Splunk Enterprise deployment in the Splunk documentation.
NEW QUESTION # 45
Which of the following are client filters available in serverclass.conf? (Select all that apply.)
- A. DNS name.
- B. Splunk server role.
- C. Platform (machine type).
- D. IP address.
Answer: A,D
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Updating/ Filterclients#Define_filters_through_serverclass.conf
NEW QUESTION # 46
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