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| Section | Objectives |
|---|---|
| Topic 1: Introducing Splunk Architecture | - Identify Splunk components - Describe the relationship between components - Identify the roles of each component |
| Topic 2: Data Collection and Ingestion | - Explain the use of Indexers and Heavy Forwarders - Describe data collection techniques - Describe data routing and filtering |
| Topic 3: Planning and Designing a Splunk Deployment | - Describe the key planning and design considerations - List the data and resource requirements - Determine the appropriate license volume and type |
| Topic 4: Troubleshooting a Splunk Deployment | - Identify common issues and error messages - Explain the use of internal logs - Describe troubleshooting techniques |
| Topic 5: Managing Search Heads | - Explain the configuration of search heads - Describe the deployment of apps to search heads - Describe search head pooling and clustering |
| Topic 6: Managing Indexers and Indexer Clusters | - Explain the management of indexer configurations - Describe methods for troubleshooting indexer clusters - Describe indexer cluster architecture |
| Topic 7: Managing Forwarders | - Identify configuration methods - Describe the types of forwarders - Explain forwarder management |
| Topic 8: Configuring Distributed Search | - Describe the operation of distributed search - Explain the role of search heads and indexers - Define search head clustering |
| Topic 9: Monitoring and Scaling a Splunk Deployment | - Identify monitoring tools and dashboards - Describe scaling strategies - Explain resource allocation and performance tuning |
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NEW QUESTION # 61
Which Splunk log file would be the least helpful in troubleshooting a crash?
Answer: B
Explanation:
The splunk_instrumentation.log file is the least helpful in troubleshooting a crash, because it contains information about the Splunk Instrumentation feature, which collects and sends usage data to Splunk Inc. for product improvement purposes. This file does not contain any information about the Splunk processes, errors, or crashes. The other options are more helpful in troubleshooting a crash, because they contain relevant information about the Splunk daemon, the standard error output, and the crash report12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Troubleshooting
/WhatSplunklogsaboutitself#splunk_instrumentation.log 2: https://docs.splunk.com/Documentation/Splunk/9.
1.2/Troubleshooting/WhatSplunklogsaboutitself#splunkd_stderr.log
NEW QUESTION # 62
As a best practice, where should the internal licensing logs be stored?
Answer: B
Explanation:
Explanation
As a best practice, the internal licensing logs should be stored on the license server. The license server is a Splunk instance that manages the distribution and enforcement of licenses in a Splunk deployment. The license server generates internal licensing logs that contain information about the license usage, violations, warnings, and pools. The internal licensing logs should be stored on the license server itself, because they are relevant to the license server's role and function. Storing the internal licensing logs on the license server also simplifies the license monitoring and troubleshooting process. The internal licensing logs should not be stored on the indexing layer, the deployment layer, or the search head layer, because they are not related to the roles and functions of these layers. Storing the internal licensing logs on these layers would also increase the network traffic and disk space consumption
NEW QUESTION # 63
When designing the number and size of indexes, which of the following considerations should be applied?
Answer: C
Explanation:
When designing the number and size of indexes, the following considerations should be applied:
* Expected daily ingest volumes: This is the amount of data that will be ingested and indexed by the Splunk platform per day. This affects the storage capacity, the indexing performance, and the license usage of the Splunk deployment. The number and size of indexes should be planned according to the expected daily ingest volumes, as well as the peak ingest volumes, to ensure that the Splunk deployment can handle the data load and meet the business requirements12.
* Data retention time policies: This is the duration for which the data will be stored and searchable by the Splunk platform. This affects the storage capacity, the data availability, and the data compliance of the Splunk deployment. The number and size of indexes should be planned according to the data retention time policies, as well as the data lifecycle, to ensure that the Splunk deployment can retain the data for the desired period and meet the legal or regulatory obligations13.
* Access controls: This is the mechanism for granting or restricting access to the data by the Splunk users or roles. This affects the data security, the data privacy, and the data governance of the Splunk deployment. The number and size of indexes should be planned according to the access controls, as well as the data sensitivity, to ensure that the Splunk deployment can protect the data from unauthorized or inappropriate access and meet the ethical or organizational standards14.
Option D is the correct answer because it reflects the most relevant and important considerations for designing the number and size of indexes. Option A is incorrect because the number of concurrent users is not a direct factor for designing the number and size of indexes, but rather a factor for designing the search head capacity and the search head clustering configuration5. Option B is incorrect because the number of installed apps is not a direct factor for designing the number and size of indexes, but rather a factor for designing the app compatibility and the app performance. Option C is incorrect because it omits the expected daily ingest volumes, which is a crucial factor for designing the number and size of indexes.
References:
1: Splunk Validated Architectures 2: [Indexer capacity planning] 3: [Set a retirement and archiving policy for your indexes] 4: [About securing Splunk Enterprise] 5: [Search head capacity planning] : [App installation and management overview]
NEW QUESTION # 64
Which of the following is a good practice for a search head cluster deployer?
Answer: A
Explanation:
The following is a good practice for a search head cluster deployer: The deployer must be used to distribute non-replicable configurations to search head cluster members. Non-replicable configurations are the configurations that are not replicated by the search factor, such as the apps and the server.conf settings. The deployer is the Splunk server role that distributes these configurations to the search head cluster members, ensuring that they have the same configuration. The deployer does not only distribute configurations to search head cluster members when they "phone home", as this would cause configuration inconsistencies and delays.
The deployer does not distribute configurations to search head cluster members to be valid configurations, as this implies that the configurations are invalid without the deployer. The deployer does not only distribute configurations to search head cluster members with splunk apply shcluster-bundle, as this would require manual intervention by the administrator. For more information, see Use the deployer to distribute apps and configuration updates in the Splunk documentation.
NEW QUESTION # 65
(A customer wishes to keep costs to a minimum, while still implementing Search Head Clustering (SHC).
What are the minimum supported architecture standards?)
Answer: B
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 # 66
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