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| Section | Weight | Objectives |
|---|---|---|
| Deployment Planning & Requirements Definition | 7% | - Define deployment methodology and process - Collect and analyze project and environment requirements - Identify relevant applications and solutions |
| Indexer Cluster Administration & Operations | 7% | - App bundle distribution and management - Storage management and monitoring - Peer node maintenance and decommission |
| Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Upgrade and migration considerations - Configuration and deployment |
| Large-Scale Deployment Design | 5% | - High availability and scalability - Security and compliance design - Enterprise architecture patterns |
| Multisite Indexer Cluster | 8% | - Geographic deployment planning - Disaster recovery and high availability - Configuration and cross-site operations |
| Troubleshooting Methodology & Tools | 14% | - Resolve configuration, search, and deployment issues - Log analysis and internal indexes - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution |
| Performance Monitoring & Tuning | 5% | - System and indexer performance monitoring - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf |
| Search Head Cluster | 8% | - Architecture and deployment - Deployer and captaincy management - Scaling and member lifecycle management |
| Infrastructure Planning | 12% | - Resource sizing: CPU, memory, storage, network - Topology design for ES, ITSI, and security - Index design, retention, and data management |
| Clustering Concepts & Overview | 5% | - Storage and replication requirements - Indexer cluster fundamentals - Search head cluster fundamentals |
| Forwarder & Deployment Best Practices | 6% | - Deployment server and configuration management - Data collection and forwarding optimization - Forwarder tier design and configuration |
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NEW QUESTION # 176
In search head clustering, which of the following methods can you use to transfer captaincy to a different member? (Select all that apply.)
Answer: A,B
Explanation:
Explanation
In search head clustering, there are two methods to transfer captaincy to a different member. One method is to use the Search Head Clustering settings menu from Splunk Web on any member. This method allows the user to select a specific member to become the new captain, or to let Splunk choose the best candidate. The other method is to run the splunk transfer shcluster-captain command from the member that the user wants to become the new captain. This method requires the user to know the name of the target member and to have access to the CLI of that member. Using the Monitoring Console is not a method to transfer captaincy, because the Monitoring Console does not have the option to change the captain. Running the splunk transfer shcluster-captain command from the current captain is not a method to transfer captaincy, because this command will fail with an error message
NEW QUESTION # 177
If there is a deployment server with many clients and one deployment client is not updating apps, which of the following should be done first?
Answer: C
Explanation:
The correct action to take first if a deployment client is not updating apps is to choose a corrective action based on the splunkd.log of the deployment client. This log file contains information about the communication between the deployment server and the deployment client, and it can help identify the root cause of the problem1. The other actions may or may not help, depending on the situation, but they are not the first steps to take. Choosing a longer phone home interval may reduce the load on the deployment server, but it will also delay the updates for the deployment clients2. Increasing the number of CPU cores or the amount of memory for the deployment server may improve its performance, but it will not fix the issue if the problem is on the deployment client side3. Therefore, option C is the correct answer, and options A, B, and D are incorrect.
1: Troubleshoot deployment server issues 2: Configure deployment clients 3: Hardware and software requirements for the deployment server
NEW QUESTION # 178
To reduce the captain's work load in a search head cluster, what setting will prevent scheduled searches from
running on the captain?
Answer: C
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/DistSearch/Adhocclustermember
NEW QUESTION # 179
Which of the following statements about integrating with third-party systems is true? (Select all that apply.)
Answer: A,D
Explanation:
The following statements about integrating with third-party systems are true: You can use Splunk alerts to provision actions on a third-party system, and you can forward data from Splunk forwarder to a third-party system without indexing it first. Splunk alerts are triggered events that can execute custom actions, such as sending an email, running a script, or calling a webhook. Splunk alerts can be used to integrate with third- party systems, such as ticketing systems, notification services, or automation platforms. For example, you can use Splunk alerts to create a ticket in ServiceNow, send a message to Slack, or trigger a workflow in Ansible.
Splunk forwarders are Splunk instances that collect and forward data to other Splunk instances, such as indexers or heavy forwarders. Splunk forwarders can also forward data to third-party systems, such as Hadoop, Kafka, or AWS Kinesis, without indexing it first. This can be useful for sending data to other data processing or storage systems, or for integrating with other analytics or monitoring tools. A Hadoop application cannot search data in Splunk, because Splunk does not provide a native interface for Hadoop applications to access Splunk data. Splunk can search data in the Hadoop File System (HDFS), but only by using the Hadoop Connect app, which is a Splunk app that enables Splunk to index and search data stored in HDFS
NEW QUESTION # 180
(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 # 181
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