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| Section | Objectives |
|---|---|
| Topic 1: Managing Search Heads | - Explain the configuration of search heads - Describe the deployment of apps to search heads - Describe search head pooling and clustering |
| Topic 2: Planning and Designing a Splunk Deployment | - Determine the appropriate license volume and type - List the data and resource requirements - Describe the key planning and design considerations |
| Topic 3: Data Collection and Ingestion | - Explain the use of Indexers and Heavy Forwarders - Describe data collection techniques - Describe data routing and filtering |
| Topic 4: Monitoring and Scaling a Splunk Deployment | - Describe scaling strategies - Identify monitoring tools and dashboards - Explain resource allocation and performance tuning |
| Topic 5: Configuring Distributed Search | - Describe the operation of distributed search - Define search head clustering - Explain the role of search heads and indexers |
| Topic 6: Introducing Splunk Architecture | - Identify the roles of each component - Identify Splunk components - Describe the relationship between components |
| Topic 7: Managing Indexers and Indexer Clusters | - Explain the management of indexer configurations - Describe indexer cluster architecture - Describe methods for troubleshooting indexer clusters |
| Topic 8: Managing Forwarders | - Explain forwarder management - Identify configuration methods - Describe the types of forwarders |
| Topic 9: Troubleshooting a Splunk Deployment | - Identify common issues and error messages - Explain the use of internal logs - Describe troubleshooting techniques |
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NEW QUESTION # 89
Which of the following are true statements about Splunk indexer clustering?
Answer: A,B
Explanation:
The following statements are true about Splunk indexer clustering:
* All peer nodes must run exactly the same Splunk version. This is a requirement for indexer clustering, as different Splunk versions may have different data formats or features that are incompatible with each other. All peer nodes must run the same Splunk version as the master node and the search heads that
* connect to the cluster.
* The search head must run the same or a later Splunk version than the peer nodes. This is a recommendation for indexer clustering, as a newer Splunk version may have new features or bug fixes that improve the search functionality or performance. The search head should not run an older Splunk version than the peer nodes, as this may cause search errors or failures. The following statements are false about Splunk indexer clustering:
* The master node must run the same or a later Splunk version than the search heads. This is not a requirement or a recommendation for indexer clustering, as the master node does not participate in the search process. The master node should run the same Splunk version as the peer nodes, as this ensures the cluster compatibility and functionality.
* The peer nodes must run the same or a later Splunk version than the master node. This is not a requirement or a recommendation for indexer clustering, as the peer nodes do not coordinate the cluster activities. The peer nodes should run the same Splunk version as the master node, as this ensures the cluster compatibility and functionality. For more information, see [About indexer clusters and index replication] and [Upgrade an indexer cluster] in the Splunk documentation.
NEW QUESTION # 90
When Splunk indexes data in a non clustered environment, what kind of files does it create by default?
Answer: A
NEW QUESTION # 91
Which of the following is a best practice to maximize indexing performance?
Answer: B
Explanation:
A best practice to maximize indexing performance is to minimize configuration generality. Configuration generality refers to the use of generic or default settings for data inputs, such as source type, host, index, and timestamp. Minimizing configuration generality means using specific and accurate settings for each data input, which can reduce the processing overhead and improve the indexing throughput. Using automatic source typing, using the Splunk default settings, and not using pre-trained source types are examples of configuration generality, which can negatively affect the indexing performance
NEW QUESTION # 92
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,C
NEW QUESTION # 93
Which of the following items are important sizing parameters when architecting a Splunk environment?
(select all that apply)
Answer: A,B,D
Explanation:
* Number of concurrent users: This is an important factor because it affects the search performance and resource utilization of the Splunk environment. More users mean more concurrent searches, which require more CPU, memory, and disk I/O. The number of concurrent users also determines the search head capacity and the search head clustering configuration12
* Volume of incoming data: This is another crucial factor because it affects the indexing performance and storage requirements of the Splunk environment. More data means more indexing throughput, which requires more CPU, memory, and disk I/O. The volume of incoming data also determines the indexer capacity and the indexer clustering configuration13
* Existence of premium apps: This is a relevant factor because some premium apps, such as Splunk Enterprise Security and Splunk IT Service Intelligence, have additional requirements and recommendations for the Splunk environment. For example, Splunk Enterprise Security requires a dedicated search head cluster and a minimum of 12 CPU cores per search head. Splunk IT Service Intelligence requires a minimum of 16 CPU cores and 64 GB of RAM per search head45 References:
1: Splunk Validated Architectures 2: Search head capacity planning 3: Indexer capacity planning 4: Splunk Enterprise Security Hardware and Software Requirements 5: [Splunk IT Service Intelligence Hardware and Software Requirements]
NEW QUESTION # 94
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