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| Section | Objectives |
|---|---|
| Topic 1: Managing Forwarders | - Identify configuration methods - Explain forwarder management - Describe the types of forwarders |
| Topic 2: Introducing Splunk Architecture | - Identify the roles of each component - Describe the relationship between components - Identify Splunk components |
| 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: Managing Indexers and Indexer Clusters | - Describe methods for troubleshooting indexer clusters - Explain the management of indexer configurations - Describe indexer cluster architecture |
| Topic 5: Troubleshooting a Splunk Deployment | - Describe troubleshooting techniques - Explain the use of internal logs - Identify common issues and error messages |
| Topic 6: Monitoring and Scaling a Splunk Deployment | - Explain resource allocation and performance tuning - Describe scaling strategies - Identify monitoring tools and dashboards |
| Topic 7: Managing Search Heads | - Describe search head pooling and clustering - Describe the deployment of apps to search heads - Explain the configuration of search heads |
| Topic 8: Configuring Distributed Search | - Explain the role of search heads and indexers - Describe the operation of distributed search - Define search head clustering |
| Topic 9: 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 |
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NEW QUESTION # 127
Which component in the splunkd.log will log information related to bad event breaking?
Answer: C
Explanation:
The AggregatorMiningProcessor component in the splunkd.log file will log information related to bad event breaking. The AggregatorMiningProcessor is responsible for breaking the incoming data into events and applying the props.conf settings. If there is a problem with the event breaking, such as incorrect timestamps, missing events, or merged events, the AggregatorMiningProcessor will log the error or warning messages in the splunkd.log file. The Audittrail component logs information about the audit events, such as user actions, configuration changes, and search activity. The EventBreaking component logs information about the event breaking rules, such as the LINE_BREAKER and SHOULD_LINEMERGE settings. The IndexingPipeline component logs information about the indexing pipeline, such as the parsing, routing, and indexing phases.
For more information, see About Splunk Enterprise logging and [Configure event line breaking] in the Splunk documentation.
NEW QUESTION # 128
Which of the following statements describe a Search Head Cluster (SHC) captain? (Select all that apply.)
Answer: B,C
Explanation:
Explanation
The following statements describe a search head cluster captain:
* Is the job scheduler for the entire search head cluster. The captain is responsible for scheduling and dispatching the searches that run on the search head cluster, as well as coordinating the search results from the search peers. The captain also ensures that the scheduled searches are balanced across the search head cluster members and that the search concurrency limits are enforced.
* Replicates the search head cluster's knowledge bundle to the search peers. The captain is responsible for creating and distributing the knowledge bundle to the search peers, which contains the knowledge objects that are required for the searches. The captain also ensures that the knowledge bundle is consistent and up-to-date across the search head cluster and the search peers. The following statements do not describe a search head cluster captain:
* Manages alert action suppressions (throttling). Alert action suppressions are the settings that prevent an alert from triggering too frequently or too many times. These settings are managed by the search head
* that runs the alert, not by the captain. The captain does not have any special role in managing alert action suppressions.
* Synchronizes the member list with the KV store primary. The member list is the list of search head cluster members that are active and available. The KV store primary is the search head cluster member that is responsible for replicating the KV store data to the other members. These roles are not related to the captain, and the captain does not synchronize them. The member list and the KV store primary are determined by the RAFT consensus algorithm, which is independent of the captain election. For more information, see [About the captain and the captain election] and [About KV store and search head clusters] in the Splunk documentation.
NEW QUESTION # 129
Which server.conf attribute should be added to the master node's server.conf file when decommissioning a site in an indexer cluster?
Answer: C
NEW QUESTION # 130
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: C
Explanation:
Explanation
https://docs.splunk.com/Documentation/Splunk/8.1.0/DistSearch/Distsearchsystemrequirements
NEW QUESTION # 131
A customer currently has many deployment clients being managed by a single, dedicated deployment server.
The customer plans to double the number of clients.
What could be done to minimize performance issues?
Answer: C
Explanation:
According to the Splunk documentation1, increasing the current deployment client phone home interval can minimize performance issues by reducing the frequency of communication between the clients and the deployment server. This can also reduce the network traffic and the load on the deployment server. The other options are false because:
* Modifying deploymentclient.conf to change from a Pull to Push mechanism is not possible, as Splunk
* does not support a Push mechanism for deployment server2.
* Reducing the number of apps in the Manager Node repository will not affect the performance of the deployment server, as the apps are only downloaded when there is a change in the configuration or a new app is added3.
* Decreasing the current deployment client phone home interval will increase the performance issues, as it will increase the frequency of communication between the clients and the deployment server, resulting in more network traffic and load on the deployment server1.
NEW QUESTION # 132
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