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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Search Head Cluster | 8% | - Deployer and captaincy management - Scaling and member lifecycle management - Architecture and deployment |
| Topic 2: Infrastructure Planning | 12% | - Resource sizing: CPU, memory, storage, network - Topology design for ES, ITSI, and security - Index design, retention, and data management |
| Topic 3: Forwarder & Deployment Best Practices | 6% | - Data collection and forwarding optimization - Forwarder tier design and configuration - Deployment server and configuration management |
| Topic 4: Single-site Indexer Cluster | 8% | - Configuration and deployment - Replication factor, search factor, and management - Upgrade and migration considerations |
| Topic 5: Clustering Concepts & Overview | 5% | - Indexer cluster fundamentals - Search head cluster fundamentals - Storage and replication requirements |
| Topic 6: Performance Monitoring & Tuning | 5% | - Search performance optimization - Configuration tuning: limits.conf, indexes.conf, props.conf - System and indexer performance monitoring |
| Topic 7: Large-Scale Deployment Design | 5% | - Enterprise architecture patterns - Security and compliance design - High availability and scalability |
| Topic 8: Indexer Cluster Administration & Operations | 7% | - Storage management and monitoring - Peer node maintenance and decommission - App bundle distribution and management |
| Topic 9: Troubleshooting Methodology & Tools | 14% | - Diagnostic tools and Splunk support model - Cluster and forwarding problem resolution - Resolve configuration, search, and deployment issues - Log analysis and internal indexes |
| Topic 10: Deployment Planning & Requirements Definition | 7% | - Define deployment methodology and process - Collect and analyze project and environment requirements - Identify relevant applications and solutions |
| Topic 11: Multisite Indexer Cluster | 8% | - Geographic deployment planning - Configuration and cross-site operations - Disaster recovery and high availability |
>> SPLK-2002 Dump Collection <<
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NEW QUESTION # 128
A customer has a multisite cluster with site1 and site2 configured. They want to configure search heads in these sites to get search results only from data stored on their local sites. Which step prevents this behavior?
Answer: A
Explanation:
Splunk's multisite clustering documentation describes that search affinity is controlled by the site attribute in server.conf on the search head. Splunk explicitly states that assigning site=site0 on a search head removes site affinity, causing the search head to treat all sites as equal and search remotely as needed. The documentation describes site0 as the special value that disables local-site preference and forces the system to behave like a single-site cluster.
The customer wants each site's search head to pull results only from its local site. This behavior works only if the search head's site value matches the local site name (e.g., site1 or site2). By setting it to site0, all locality restrictions are removed, which prevents the desired reduction of network traffic.
The site search factor options (B and D) affect replication and searchable copy placement on indexers, not search head behavior. The number of indexers per site (C) also does not disable search affinity. Therefore only option A disables local-only searching.
References:Splunk Indexer Clustering Manual (Multisite Search Affinity; server.conf site parameter).
NEW QUESTION # 129
When converting from a single-site to a multi-site cluster, what happens to existing single-site clustered buckets?
Answer: A
Explanation:
Explanation
When converting from a single-site to a multi-site cluster, existing single-site clustered buckets will maintain replication as required according to the single-site policies, but never age out. Single-site clustered buckets are buckets that were created before the conversion to a multi-site cluster. These buckets will continue to follow the single-site replication and search factors, meaning that they will have the same number of copies and searchable copies across the cluster, regardless of the site. These buckets will never age out, meaning that they will never be frozen or deleted, unless they are manually converted to multi-site buckets. Single-site clustered buckets will not continue to replicate within the origin site, because they will be distributed across the cluster according to the single-site policies. Single-site clustered buckets will not be replicated across all peers in the multi-site cluster, because they will follow the single-site replication factor, which may be lower than the multi-site total replication factor. Single-site clustered buckets will not stop replicating within the single-site and remain on the indexer they reside on, because they will still be subject to the replication and availability rules of the cluster
NEW QUESTION # 130
What does setting site=site0 on all Search Head Cluster members do in a multi-site indexer cluster?
Answer: B
Explanation:
Setting site=site0 on all Search Head Cluster members disables search site affinity. Search site affinity is a feature that allows search heads to preferentially search the peer nodes that are in the same site as the search head, to reduce network latency and bandwidth consumption. By setting site=site0, which is a special value that indicates no site, the search heads will search all peer nodes regardless of their site. Setting site=site0 does not set all members to dynamic captaincy, enable multisite search artifact replication, or enable automatic search site affinity discovery. Dynamic captaincy is a feature that allows any member to become the captain, and it is enabled by default. Multisite search artifact replication is a feature that allows search artifacts to be replicated across sites, and it is enabled by setting site_replication_factor to a value greater than 1. Automatic search site affinity discovery is a feature that allows search heads to automatically determine their site based on the network latency to the peer nodes, and it is enabled by setting site=auto
NEW QUESTION # 131
Which tool(s) can be leveraged to diagnose connection problems between an indexer and forwarder? (Select all that apply.)
Answer: B,C
Explanation:
Explanation
The telnet and tcpdump tools can be leveraged to diagnose connection problems between an indexer and forwarder. The telnet tool can be used to test the connectivity and port availability between the indexer and forwarder. The tcpdump tool can be used to capture and analyze the network traffic between the indexer and forwarder. The splunk btool command can be used to check the configuration files of the indexer and forwarder, but it cannot diagnose the connection problems. The splunk btprobe command does not exist, and it is not a valid tool.
NEW QUESTION # 132
Which of the following can a Splunk diag contain?
Answer: D
Explanation:
The following artifacts are included in a Splunk diag file:
* Server specs. These are the specifications of the server that Splunk runs on, such as the CPU model, the memory size, the disk space, and the network interface. These specs can help understand the Splunk hardware requirements and performance.
* Current open connections. These are the connections that Splunk has established with other Splunk instances or external sources, such as forwarders, indexers, search heads, license masters, deployment servers, and data inputs. These connections can help understand the Splunk network topology and communication.
* Internal Splunk log files. These are the log files that Splunk generates to record its own activities, such as splunkd.log, metrics.log, audit.log, and others. These logs can help troubleshoot Splunk issues and monitor Splunk performance.
* Index listings. These are the listings of the indexes that Splunk has created and configured, such as the index name, the index location, the index size, and the index attributes. These listings can help understand the Splunk data management and retention. The following artifacts are not included in a Splunk diag file:
* Search history. This is the history of the searches that Splunk has executed, such as the search query, the search time, the search results, and the search user. This history is not part of the Splunk diag file, but it can be accessed from the Splunk Web interface or the audit.log file.
* Splunk users and their roles. These are the users that Splunk has created and assigned roles to, such as the user name, the user password, the user role, and the user capabilities. These users and roles are not part of the Splunk diag file, but they can be accessed from the Splunk Web interface or the authentication.conf and authorize.conf files.
* KV store listings. These are the listings of the KV store collections and documents that Splunk has created and stored, such as the collection name, the collection schema, the document ID, and the document fields. These listings are not part of the Splunk diag file, but they can be accessed from the Splunk Web interface or the mongod.log file.
* Indexed data. These are the data that Splunk indexes and makes searchable, such as the rawdata and the tsidx files. These data are not part of the Splunk diag file, as they may contain sensitive or confidential information. For more information, see Generate a diagnostic snapshot of your Splunk Enterprise deployment in the Splunk documentation.
NEW QUESTION # 133
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