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| Section | Weight | Objectives |
|---|---|---|
| Performance Monitoring & Tuning | 5% | - System and indexer performance monitoring - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf |
| Multisite Indexer Cluster | 8% | - Configuration and cross-site operations - Geographic deployment planning - Disaster recovery and high availability |
| Clustering Concepts & Overview | 5% | - Indexer cluster fundamentals - Storage and replication requirements - Search head cluster fundamentals |
| Forwarder & Deployment Best Practices | 6% | - Forwarder tier design and configuration - Data collection and forwarding optimization - Deployment server and configuration management |
| Deployment Planning & Requirements Definition | 7% | - Define deployment methodology and process - Identify relevant applications and solutions - Collect and analyze project and environment requirements |
| Search Head Cluster | 8% | - Scaling and member lifecycle management - Architecture and deployment - Deployer and captaincy management |
| Infrastructure Planning | 12% | - Resource sizing: CPU, memory, storage, network - Index design, retention, and data management - Topology design for ES, ITSI, and security |
| Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - Peer node maintenance and decommission - App bundle distribution and management |
| Troubleshooting Methodology & Tools | 14% | - Cluster and forwarding problem resolution - Diagnostic tools and Splunk support model - Resolve configuration, search, and deployment issues - Log analysis and internal indexes |
| Single-site Indexer Cluster | 8% | - Replication factor, search factor, and management - Configuration and deployment - Upgrade and migration considerations |
| Large-Scale Deployment Design | 5% | - High availability and scalability - Security and compliance design - Enterprise architecture patterns |
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NEW QUESTION # 64
Search dashboards in the Monitoring Console indicate that the distributed deployment is approaching its capacity. Which of the following options will provide the most search performance improvement?
Answer: C
Explanation:
Adding more search peers and making sure forwarders distribute data evenly across all indexers will provide the most search performance improvement when the distributed deployment is approaching its capacity.
Adding more search peers will increase the search concurrency and reduce the load on each indexer.
Distributing data evenly across all indexers will ensure that the search workload is balanced and no indexer becomes a bottleneck. Replacing the indexer storage to SSD will improve the search performance, but it is a costly and time-consuming option. Adding more search heads will not improve the search performance if the indexers are the bottleneck. Rescheduling slow searches to run during an off-peak time will reduce the search contention, but it will not improve the search performance for each individual search. For more information, see [Scale your indexer cluster] and [Distribute data across your indexers] in the Splunk documentation.
NEW QUESTION # 65
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?
Answer: A
Explanation:
Explanation
Two indexers clustered is the recommended deployment for a customer who plans to ingest 600 GB of data per day into Splunk, has six concurrent users, and wants high data availability and high search performance.
This deployment will provide enough indexing capacity and search concurrency for the customer's needs, while also ensuring data replication and searchability across the cluster. The customer can also save on the hardware cost by using only two indexers. Two indexers not in a cluster will not provide high data availability, as there is no data replication or failover. Three indexers not in a cluster will provide more indexing capacity and search concurrency, but also more hardware cost and no data availability. The customer's data retention period, number of long searches, or volume of saved/scheduled searches are not relevant for determining the number of indexers. For more information, see [Reference hardware] and [About indexer clusters and index replication] in the Splunk documentation.
NEW QUESTION # 66
Which search head cluster component is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster?
Answer: D
Explanation:
Explanation
The captain is the search head cluster component that is responsible for pushing knowledge bundles to search peers, replicating configuration changes to search head cluster members, and scheduling jobs across the search head cluster. The captain is elected from among the search head cluster members and performs these tasks in addition to serving search requests. The master is the indexer cluster component that is responsible for managing the replication and availability of data across the peer nodes. The deployer is the standalone instance that is responsible for distributing apps and other configurations to the search head cluster members. The deployment server is the instance that is responsible for distributing apps and other configurations to the deployment clients, such as forwarders
NEW QUESTION # 67
Which command will permanently decommission a peer node operating in an indexer cluster?
Answer: C
Explanation:
The splunk offline --enforce-counts command will permanently decommission a peer node operating in an indexer cluster. This command will remove the peer node from the cluster and delete its data. This command should be used when the peer node is no longer needed or is being replaced by another node. The splunk stop
-f command will stop the Splunk service on the peer node, but it will not decommission it from the cluster.
The splunk offline -f command will take the peer node offline, but it will not delete its data or enforce the replication and search factors. The splunk decommission --enforce-counts command is not a valid Splunk command. For more information, see Remove a peer node from an indexer cluster in the Splunk documentation.
NEW QUESTION # 68
Which Splunk server role regulates the functioning of indexer cluster?
Answer: B
Explanation:
Explanation
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/7.3.1/Deploy/Indexercluster
NEW QUESTION # 69
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