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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: Planning and Designing a Splunk Deployment | - Determine the appropriate license volume and type - Describe the key planning and design considerations - List the data and resource requirements |
| Topic 3: Configuring Distributed Search | - Define search head clustering - Explain the role of search heads and indexers - Describe the operation of distributed search |
| Topic 4: Monitoring and Scaling a Splunk Deployment | - Describe scaling strategies - Explain resource allocation and performance tuning - Identify monitoring tools and dashboards |
| Topic 5: Troubleshooting a Splunk Deployment | - Describe troubleshooting techniques - Identify common issues and error messages - Explain the use of internal logs |
| Topic 6: Managing Search Heads | - Explain the configuration of search heads - Describe search head pooling and clustering - Describe the deployment of apps to search heads |
| 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 | - Identify configuration methods - Describe the types of forwarders - Explain forwarder management |
| Topic 9: Data Collection and Ingestion | - Explain the use of Indexers and Heavy Forwarders - Describe data collection techniques - Describe data routing and filtering |
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NEW QUESTION # 180
Buttercup is deploying Splunk IT Service Intelligence (ITSI). The IT department provides the following information:
Item Count
KPIs 900
Entities 1500
Glass Tables 10
Service Definitions 20
Which ITSI component is the primary factor influencing Splunk deployment sizing?
Answer: B
Explanation:
Splunk IT Service Intelligence documentation clearly identifies Key Performance Indicators (KPIs) as the dominant driver of ITSI resource consumption. KPIs generate continuous searches, threshold evaluations, anomaly detection calculations, and aggregation workloads.
Each KPI contributes to CPU utilization, search concurrency, memory usage, and storage growth through KPI summaries and historical data retention. As the number of KPIs increases, the number of concurrent background searches rises significantly, directly affecting search head and indexer performance.
Entities and service definitions primarily define metadata and relationships and have comparatively lower performance impact. Glass tables are purely visualization components and have minimal effect on backend resource sizing.
Splunk explicitly states that deployment sizing for ITSI must begin with KPI count, followed by consideration of search frequency and data volume per KPI.
Thus, the correct answer is A: The number of KPIs tracked.
References:
Splunk IT Service Intelligence Installation and Resource Planning Guide; ITSI KPI Performance Characteristics; ITSI Architecture Overview.
NEW QUESTION # 181
What is the algorithm used to determine captaincy in a Splunk search head cluster?
Answer: A
Explanation:
Explanation
The algorithm used to determine captaincy in a Splunk search head cluster is Raft distributed consensus. Raft is a consensus algorithm that is used to elect a leader among a group of nodes in a distributed system. In a Splunk search head cluster, Raft is used to elect a captain among the cluster members. The captain is the cluster member that is responsible for coordinating the search activities, replicating the configurations and apps, and pushing the knowledge bundles to the search peers. The captain is dynamically elected based on various criteria, such as CPU load, network latency, and search load. The captain can change over time, depending on the availability and performance of the cluster members. Rapt, Rift, and Round-robin are not valid algorithms for determining captaincy in a Splunk search head cluster
NEW QUESTION # 182
Which of the following tasks should the architect perform when building a deployment plan? (Select all that apply.)
Answer: A
NEW QUESTION # 183
Which Splunk internal index contains license-related events?
Answer: C
Explanation:
Explanation
The _internal index contains license-related events, such as the license usage, the license quota, the license pool, the license stack, and the license violations. These events are logged by the license manager in the license_usage.log file, which is part of the _internal index. The _audit index contains audit events, such as user actions, configuration changes, and search activity. These events are logged by the audit trail in the audit.log file, which is part of the _audit index. The _license index does not exist in Splunk, as the license-related events are stored in the _internal index. The _introspection index contains platform instrumentation data, such as the resource usage, the disk objects, the search activity, and the data ingestion. These data are logged by the introspection generator in various log files, such as resource_usage.log, disk_objects.log, search_activity.log, and data_ingestion.log, which are part of the _introspection index. For more information, see About Splunk Enterprise logging and [About the _internal index] in the Splunk documentation.
NEW QUESTION # 184
When using ingest-based licensing, what Splunk role requires the license manager to scale?
Answer: B
Explanation:
When using ingest-based licensing, there are no Splunk roles that require the license manager to scale, because the license manager does not need to handle any additional load or complexity. Ingest-based licensing is a new licensing model that allows customers to pay for the data they ingest into Splunk, regardless of the data source, volume, or use case. Ingest-based licensing simplifies the licensing process and eliminates the need for license pools, license stacks, license slaves, and license warnings. The license manager is still responsible for enforcing the license quota and generating license usage reports, but it does not need to communicate with any other Splunk instances or monitor their license usage. Therefore, option C is the correct answer. Option A is incorrect because search peers are indexers that participate in a distributed search.
They do not affect the license manager's scalability, because they do not report their license usage to the license manager. Option B is incorrect because search heads are Splunk instances that coordinate searches across multiple indexers. They do not affect the license manager's scalability, because they do not report their license usage to the license manager. Option D is incorrect because deployment clients are Splunk instances that receive configuration updates and apps from a deployment server. They do not affect the license manager' s scalability, because they do not report their license usage to the license manager12
1: https://docs.splunk.com/Documentation/Splunk/9.1.2/Admin/AboutSplunklicensing 2: https://docs.splunk.
com/Documentation/Splunk/9.1.2/Admin/HowSplunklicensingworks
NEW QUESTION # 185
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