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Splunk Enterprise Certified Architect Sample Questions (Q65-Q70):
NEW QUESTION # 65
Several critical searches that were functioning correctly yesterday are not finding a lookup table today. Which log file would be the best place to start troubleshooting?
A. web_access.log
B. btool.log
C. health.log
D. configuration_change.log
Answer: A
Explanation:
A lookup table is a file that contains a list of values that can be used to enrich or modify the data during search time1. Lookup tables can be stored in CSV files or in the KV Store1. Troubleshooting lookup tables involves identifying and resolving issues that prevent the lookup tables from being accessed, updated, or applied correctly by the Splunk searches. Some of the tools and methods that can help with troubleshooting lookup tables are:
* web_access.log: This is a file that contains information about the HTTP requests and responses that occur between the Splunk web server and the clients2. This file can help troubleshoot issues related to lookup table permissions, availability, and errors, such as 404 Not Found, 403 Forbidden, or 500 Internal Server Error34.
* btool output: This is a command-line tool that displays the effective configuration settings for a given Splunk component, such as inputs, outputs, indexes, props, and so on5. This tool can help troubleshoot issues related to lookup table definitions, locations, and precedence, as well as identify the source of a configuration setting6.
* search.log: This is a file that contains detailed information about the execution of a search, such as the search pipeline, the search commands, the search results, the search errors, and the search performance.
This file can help troubleshoot issues related to lookup table commands, arguments, fields, and outputs,
* such as lookup, inputlookup, outputlookup, lookup_editor, and so on .
Option B is the correct answer because web_access.log is the best place to start troubleshooting lookup table issues, as it can provide the most relevant and immediate information about the lookup table access and status.
Option A is incorrect because btool output is not a log file, but a command-line tool. Option C is incorrect because health.log is a file that contains information about the health of the Splunk components, such as the indexer cluster, the search head cluster, the license master, and the deployment server. This file can help troubleshoot issues related to Splunk deployment health, but not necessarily related to lookup tables. Option D is incorrect because configuration_change.log is a file that contains information about the changes made to the Splunk configuration files, such as the user, the time, the file, and the action. This file can help troubleshoot issues related to Splunk configuration changes, but not necessarily related to lookup tables.
References:
1: About lookups - Splunk Documentation 2: web_access.log - Splunk Documentation 3: Troubleshoot lookups to the Splunk Enterprise KV Store 4: Troubleshoot lookups in Splunk Enterprise Security - Splunk Documentation 5: Use btool to troubleshoot configurations - Splunk Documentation 6: Troubleshoot configuration issues - Splunk Documentation : Use the search.log file - Splunk Documentation : Troubleshoot search-time field extraction - Splunk Documentation : [Troubleshoot lookups - Splunk Documentation] :
[health.log - Splunk Documentation] : [configuration_change.log - Splunk Documentation]
NEW QUESTION # 66
When adding or rejoining a member to a search head cluster, the following error is displayed:
Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
What corrective action should be taken?
A. Run the splunk resync shcluster-replicated-config command on this member.
B. Run the splunk apply shcluster-bundle command from the deployer.
C. Run the clean raft command on all members of the search head cluster.
D. Restart the search head.
Answer: A
Explanation:
Explanation
When adding or rejoining a member to a search head cluster, and the following error is displayed: Error pulling configurations from the search head cluster captain; consider performing a destructive configuration resync on this search head cluster member.
The corrective action that should be taken is to run the splunk resync shcluster-replicated-config command on this member. This command will delete the existing configuration files on this member and replace them with the latest configuration files from the captain. This will ensure that the member has the same configuration as the rest of the cluster. Restarting the search head, running the splunk apply shcluster-bundle command from the deployer, or running the clean raft command on all members of the search head cluster are not the correct actions to take in this scenario. For more information, see Resolve configuration inconsistencies across cluster members in the Splunk documentation.
NEW QUESTION # 67
Which Splunk server role regulates the functioning of indexer cluster?
A. Monitoring Console
B. Master Node
C. Deployer
D. Indexer
Answer: B
Explanation:
The master node is the Splunk server role that regulates the functioning of the indexer cluster. The master node coordinates the activities of the peer nodes, such as data replication, data searchability, and data recovery. The master node also manages the cluster configuration bundle and distributes it to the peer nodes. The indexer is the Splunk server role that indexes the incoming data and makes it searchable. The deployer is the Splunk server role that distributes apps and configuration updates to the search head cluster members. The monitoring console is the Splunk server role that monitors the health and performance of the Splunk deployment. For more information, see About indexer clusters and index replication in the Splunk documentation.
NEW QUESTION # 68
Which Splunk internal field can confirm duplicate event issues from failed file monitoring?
A. _indextime
B. _index_latest
C. _time
D. latest
Answer: A
Explanation:
According to the Splunk documentation1, the _indextime field is the time when Splunk indexed the event.
This field can be used to confirm duplicate event issues from failed file monitoring, as it can show you when each duplicate event was indexed and if they have different _indextime values. You can use the Search Job Inspector to inspect the search job that returns the duplicate events and check the _indextime field for each event2. The other options are false because:
* The _time field is the time extracted from the event data, not the time when Splunk indexed the event. This field may not reflect the actual indexing time, especially if the event data has a different time zone or format than the Splunk server1.
* The _index_latest field is not a valid Splunk internal field, as it does not exist in the Splunk documentation or the Splunk data model3.
* The latest field is a field that represents the latest time bound of a search, not the time when Splunk indexed the event. This field is used to specify the time range of a search, along with the earliest field4.
NEW QUESTION # 69
Because Splunk indexing is read/write intensive, it is important to select the appropriate disk storage solution for each deployment. Which of the following statements is accurate about disk storage?
A. Enable NFS for storing hot and warm buckets.
B. High performance SAN should never be used.
C. Virtualized environments are usually preferred over bare metal for Splunk indexers.
D. The recommended RAID setup is RAID 10 (1 + 0).
Answer: D
Explanation:
Explanation
Splunk indexing is read/write intensive, as it involves reading data from various sources, writing data to disk, and reading data from disk for searching and reporting. Therefore, it is important to select the appropriate disk storage solution for each deployment, based on the performance, reliability, and cost requirements. The recommended RAID setup for Splunk indexers is RAID 10 (1 + 0), as it provides the best balance of performance and reliability. RAID 10 combines the advantages of RAID 1 (mirroring) and RAID 0 (striping), which means that it offers both data redundancy and data distribution. RAID 10 can tolerate multiple disk failures, as long as they are not in the same mirrored pair, and it can improve the read and write speed, as it can access multiple disks in parallel2 High performance SAN (Storage Area Network) can be used for Splunk indexers, but it is not recommended, as it is more expensive and complex than local disks. SAN also introduces additional network latency and dependency, which can affect the performance and availability of Splunk indexers. SAN is more suitable for Splunk search heads, as they are less read/write intensive and more CPU intensive2 NFS (Network File System) should not be used for storing hot and warm buckets, as it can cause data corruption, data loss, and performance degradation. NFS is a network-based file system that allows multiple clients to access the same files on a remote server. NFS is not compatible with Splunk index replication and search head clustering, as it can cause conflicts and inconsistencies among the Splunk instances. NFS is also slower and less reliable than local disks, as it depends on the network bandwidth and availability. NFS can be used for storing cold and frozen buckets, as they are less frequently accessed and less critical for Splunk operations2 Virtualized environments are not usually preferred over bare metal for Splunk indexers, as they can introduce additional overhead and complexity. Virtualized environments can affect the performance and reliability of Splunk indexers, as they share the physical resources and the network with other virtual machines. Virtualized environments can also complicate the monitoring and troubleshooting of Splunk indexers, as they add another layer of abstraction and configuration. Virtualized environments can be used for Splunk indexers, but they require careful planning and tuning to ensure optimal performance and availability2
NEW QUESTION # 70
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