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| Section | Objectives |
|---|---|
| Topic 1: Indexer Clustering | - Failure recovery and resilience - Replication and search factor management - Cluster master configuration |
| Topic 2: Data Management and Indexing | - Parsing and indexing process - Data retention and lifecycle management - Index configuration and management |
| Topic 3: Splunk Architecture Fundamentals | - Distributed architecture concepts - Forwarder and indexer roles - Data flow and pipeline architecture |
| Topic 4: Search Head Architecture | - Knowledge object distribution - Search head clustering - Search performance optimization |
| Topic 5: Security and Authentication | - Role-based access control (RBAC) - Encryption and data protection - Authentication mechanisms |
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NEW QUESTION # 131
(A customer wishes to keep costs to a minimum, while still implementing Search Head Clustering (SHC).
What are the minimum supported architecture standards?)
Answer: C
Explanation:
Splunk Enterprise officially requires a minimum of three search heads and one deployer for a supported Search Head Cluster (SHC) configuration. This ensures both high availability and data consistency within the cluster.
The Splunk documentation explains that a search head cluster uses RAFT-based consensus to elect a captain responsible for managing configuration replication, scheduling, and user workload distribution. The RAFT protocol requires a quorum of members to maintain consistency. In practical terms, this means a minimum of three members (search heads) to achieve fault tolerance - allowing one member to fail while maintaining operational stability.
The deployer is a separate Splunk instance responsible for distributing configuration bundles (apps, settings, and user configurations) to all members of the search head cluster. The deployer is not part of the SHC itself but is mandatory for its proper management.
Running with fewer than three search heads or replacing the deployer with a Deployment Server (as in Options B, C, or D) is unsupported and violates Splunk best practices for SHC resiliency and management.
References (Splunk Enterprise Documentation):
* Search Head Clustering Overview - Minimum Supported Architecture
* Deploy and Configure the Deployer for a Search Head Cluster
* High Availability and Fault Tolerance with RAFT in SHC
NEW QUESTION # 132
When Splunk is installed, where are the internal indexes stored by default?
Answer: B
Explanation:
Explanation
Splunk internal indexes are the indexes that store Splunk's own data, such as internal logs, metrics, audit events, and configuration snapshots. By default, Splunk internal indexes are stored in the SPLUNK_HOME/var/lib/splunk directory, along with other user-defined indexes. The SPLUNK_HOME/bin directory contains the Splunk executable files and scripts. The SPLUNK_HOME/var/run directory contains the Splunk process ID files and lock files. The SPLUNK_HOME/etc/system/default directory contains the default Splunk configuration files.
NEW QUESTION # 133
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: A
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 # 134
What is a Splunk Job? (Select all that apply.)
Answer: A,C,D
Explanation:
Explanation
A Splunk job is a search process that is kicked off via a report, an alert, or a user action. A Splunk job is a child OS process manifested from the splunkd process, which is the main Splunk daemon. A Splunk job is subjected to some usage quota, such as memory, CPU, and disk space, which can be configured in the limits.conf file. A Splunk job is not a user-defined Splunk capability, as it is a core feature of the Splunk platform.
NEW QUESTION # 135
What is the best method for sizing or scaling a search head cluster?
Answer: A
Explanation:
According to the Splunk blog1, the best method for sizing or scaling a search head cluster is to estimate the maximum concurrent number of searches and divide by the number of CPU cores per search head. This gives you an idea of how many search heads you need to handle the peak search load without overloading the CPU resources. The other options are false because:
* Estimating the maximum daily ingest volume in gigabytes and dividing by the number of CPU cores per search head is not a good method for sizing or scaling a search head cluster, as it does not account for the complexity and frequency of the searches. The ingest volume is more relevant for sizing or scaling the indexers, not the search heads2.
* Estimating the total number of searches per day and dividing by the number of CPU cores available on the search heads is not a good method for sizing or scaling a search head cluster, as it does not account for the concurrency and duration of the searches. The total number of searches per day is an average metric that does not reflect the peak search load or the search performance2.
* Dividing the number of indexers by three to achieve the correct number of search heads is not a good method for sizing or scaling a search head cluster, as it does not account for the search load or the search head capacity. The number of indexers is not directly proportional to the number of search heads, as different types of data and searches may require different amounts of resources2.
NEW QUESTION # 136
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