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| Section | Objectives |
|---|---|
| Topic 1: Search Head Architecture | - Search head clustering - Knowledge object distribution - Search performance optimization |
| Topic 2: Splunk Architecture Fundamentals | - Distributed architecture concepts - Data flow and pipeline architecture - Forwarder and indexer roles |
| Topic 3: Indexer Clustering | - Replication and search factor management - Failure recovery and resilience - Cluster master configuration |
| Topic 4: Security and Authentication | - Authentication mechanisms - Encryption and data protection - Role-based access control (RBAC) |
| Topic 5: Data Management and Indexing | - Data retention and lifecycle management - Parsing and indexing process - Index configuration and management |
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NEW QUESTION # 63
A customer currently has many deployment clients being managed by a single, dedicated deployment server.
The customer plans to double the number of clients.
What could be done to minimize performance issues?
Answer: C
Explanation:
According to the Splunk documentation1, increasing the current deployment client phone home interval can minimize performance issues by reducing the frequency of communication between the clients and the deployment server. This can also reduce the network traffic and the load on the deployment server. The other options are false because:
* Modifying deploymentclient.conf to change from a Pull to Push mechanism is not possible, as Splunk
* does not support a Push mechanism for deployment server2.
* Reducing the number of apps in the Manager Node repository will not affect the performance of the deployment server, as the apps are only downloaded when there is a change in the configuration or a new app is added3.
* Decreasing the current deployment client phone home interval will increase the performance issues, as it will increase the frequency of communication between the clients and the deployment server, resulting in more network traffic and load on the deployment server1.
NEW QUESTION # 64
Which Splunk internal index contains license-related events?
Answer: D
Explanation:
The _internal index contains license-related events, such as the license usage, the license quota, the license pool, the license stack, and the license violations. These events are logged by the license manager in the license_usage.log file, which is part of the _internal index. The _audit index contains audit events, such as user actions, configuration changes, and search activity. These events are logged by the audit trail in the audit.
log file, which is part of the _audit index. The _license index does not exist in Splunk, as the license-related events are stored in the _internal index. The _introspection index contains platform instrumentation data, such as the resource usage, the disk objects, the search activity, and the data ingestion. These data are logged by the introspection generator in various log files, such as resource_usage.log, disk_objects.log, search_activity.log, and data_ingestion.log, which are part of the _introspection index. For more information, see About Splunk Enterprise logging and [About the _internal index] in the Splunk documentation.
NEW QUESTION # 65
What is the algorithm used to determine captaincy in a Splunk search head cluster?
Answer: D
Explanation:
Explanation/Reference: https://answers.splunk.com/answers/664102/need-to-know-about-raft-directory-on-search-head- c.html
NEW QUESTION # 66
Which component in the splunkd.log will log information related to bad event breaking?
Answer: A
Explanation:
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 # 67
(When planning user management for a new Splunk deployment, which task can be disregarded?)
Answer: D
Explanation:
According to the Splunk Enterprise User Authentication and Authorization Guide, effective user management during deployment planning involves identifying how users will authenticate (native, LDAP, or SAML) and defining what roles and capabilities they will need to perform their tasks.
However, counting or analyzing the number of users who appear in Splunk log events (Option C) is not part of user management planning. This metric relates to audit and monitoring, not access provisioning or role assignment.
A proper user management plan should address:
* Authentication method selection (native, LDAP, or SAML).
* User mapping and provisioning workflows from existing identity stores.
* Role-based access control (RBAC) - assigning users appropriate permissions via Splunk roles and capabilities.
* Administrative governance - ensuring access policies align with compliance requirements.
Determining the number of users visible in log events provides no operational value when planning Splunk authentication or authorization architecture. Therefore, this task can be safely disregarded during initial planning.
References (Splunk Enterprise Documentation):
* User Authentication and Authorization in Splunk Enterprise
* Configuring LDAP and SAML Authentication
* Managing Users, Roles, and Capabilities
* Splunk Deployment Planning Manual - Security and Access Control Planning
NEW QUESTION # 68
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