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Splunk SPLK-2002 Exam Syllabus Topics:

SectionObjectives
Topic 1: Splunk Architecture Fundamentals- Distributed architecture concepts
- Data flow and pipeline architecture
- Forwarder and indexer roles
Topic 2: Search Head Architecture- Search head clustering
- Knowledge object distribution
- Search performance optimization
Topic 3: Data Management and Indexing- Index configuration and management
- Data retention and lifecycle management
- Parsing and indexing process
Topic 4: Indexer Clustering- Replication and search factor management
- Failure recovery and resilience
- Cluster master configuration
Topic 5: Security and Authentication- Authentication mechanisms
- Role-based access control (RBAC)
- Encryption and data protection

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Splunk Enterprise Certified Architect Sample Questions (Q189-Q194):

NEW QUESTION # 189
(A customer creates a saved search that runs on a specific interval. Which internal Splunk log should be viewed to determine if the search ran recently?)

Answer: C

Explanation:
According to Splunk's Search Scheduler and Job Management documentation, the scheduler.log file, located within the _internal index, records the execution of scheduled and saved searches. This log provides a detailed record of when each search is triggered, how long it runs, and its success or failure status.
Each time a scheduled search runs (for example, alerts, reports, or summary index searches), an entry is written to scheduler.log with fields such as:
* sid (search job ID)
* app (application context)
* savedsearch_name (name of the saved search)
* user (owner)
* status (success, skipped, or failed)
* run_time and result_count
By searching the _internal index for sourcetype=scheduler (or directly viewing scheduler.log), administrators can confirm whether a specific saved search executed as expected and diagnose skipped or delayed runs due to resource contention or concurrency limits.
Other internal logs serve different purposes:
* metrics.log records performance metrics.
* kvstore.log tracks KV Store operations.
* btool.log does not exist - btool outputs configuration data to the console, not a log file.
Hence, scheduler.log is the definitive and Splunk-documented source for validating scheduled search activity.
References (Splunk Enterprise Documentation):
* Saved Searches and Alerts - Scheduler Operation Details
* scheduler.log Reference - Monitoring Scheduled Search Execution
* Monitoring Console: Search Scheduler Health Dashboard
* Troubleshooting Skipped or Delayed Scheduled Searches


NEW QUESTION # 190
Which of the following is true for indexer cluster knowledge bundles?

Answer: D

Explanation:
According to the Splunk documentation1, indexer cluster knowledge bundles are the configuration files that the cluster master distributes to the peer nodes as part of the cluster configuration bundle. The knowledge bundles contain the knowledge objects, such as event types, tags, lookups, and so on, that are relevant for indexing and searching the data. The cluster master creates the knowledge bundles by merging the app-name
/default and app-name/local directories from the apps that reside on the master node. The cluster master then pushes the knowledge bundles to the peer nodes, where they reside under the $SPLUNK_HOME/var/run directory2. The other options are false because:
* Only app-name/local is pushed. This is false because the cluster master pushes both the app-name
/default and app-name/local directories, after merging them, to the peer nodes. The app-name/local directory contains the local customizations of the app configuration, while the app-name/default directory contains the default app configuration3.
* Only app-name/default is pushed. This is false because the cluster master pushes both the app-name
/default and app-name/local directories, after merging them, to the peer nodes. The app-name/default directory contains the default app configuration, while the app-name/local directory contains the local customizations of the app configuration3.
* app-name/default and app-name/local are pushed without change. This is false because the cluster master merges the app-name/default and app-name/local directories before pushing them to the peer nodes. This ensures that the peer nodes have the latest and consistent configuration of the apps3.


NEW QUESTION # 191
Which of the following is an indexer clustering requirement?

Answer: C

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 # 192
Which command will permanently decommission a peer node operating in an indexer cluster?

Answer: B


NEW QUESTION # 193
Which of the following clarification steps should be taken if apps are not appearing on a deployment client?
(Select all that apply.)

Answer: B,C,D

Explanation:
The following clarification steps should be taken if apps are not appearing on a deployment client:
* Check serverclass.conf of the deployment server. This file defines the server classes and the apps and configurations that they should receive from the deployment server. Make sure that the deployment client belongs to the correct server class and that the server class has the desired apps and configurations.
* Check deploymentclient.conf of the deployment client. This file specifies the deployment server that the deployment client contacts and the client name that it uses. Make sure that the deployment client is pointing to the correct deployment server and that the client name matches the server class criteria.
* Search for relevant events in splunkd.log of the deployment server. This file contains information about the deployment server activities, such as sending apps and configurations to the deployment clients, detecting client check-ins, and logging any errors or warnings. Look for any events that indicate a problem with the deployment server or the deployment client.
* Checking the content of SPLUNK_HOME/etc/apps of the deployment server is not a necessary clarification step, as this directory does not contain the apps and configurations that are distributed to the deployment clients. The apps and configurations for the deployment server are stored in SPLUNK_HOME/etc/deployment-apps. For more information, see Configure deployment server and clients in the Splunk documentation.


NEW QUESTION # 194
......

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