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Splunk SPLK-3003 Exam Syllabus Topics:

Section	Weight	Objectives
Authentication & Authorization	8%	- Role-based access control (RBAC) - Secure communication between instances - Implement authentication methods
Indexing & Data Management	14%	- Index structure and bucket lifecycle - Data retention and archiving - Event processing and indexing pipeline
Search & Reporting Optimization	14%	- Search job inspection and execution - Optimize search performance - Use sub-searches and advanced search logic
Monitoring Console & System Health	10%	- Interpret alerts and capacity warnings - Monitor instance health and performance - Configure and use Monitoring Console
Splunk Validated Architectures & Deployment	15%	- High availability vs disaster recovery - Hardware sizing and licensing - Plan scaling from standalone to distributed environments - Define Splunk Validated Architectures (SVA)
Data Collection & Inputs	15%	- Splunk-to-Splunk communication - Troubleshoot data ingestion issues - Configure data inputs and HTTP Event Collector
Configuration & Deployment Management	8%	- Manage apps and configuration bundles - Configuration file precedence - Deployment Server architecture
Search Head Clustering	10%	- Captain election and cluster management - Search head cluster deployment - Knowledge object replication - Content management using Deployer
Indexer Clustering	18%	- Failure recovery and bucket management - Replication and search factors - Multi-site clustering design - Indexer cluster deployment and configuration

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Splunk Core Certified Consultant Sample Questions (Q143-Q148):

NEW QUESTION # 143
High Availability and Disaster Recovery are two different approaches to ensuring business continuity in the face of unexpected events. Which Splunk technology can be used to implement High Availability within a distributed Splunk architecture?

A. Indexer clustering
B. Deployer
C. Deployment server
D. Intermediate Forwarder

Answer: A

Explanation:
Indexer clustering provides high availability by replicating indexed data across multiple peer nodes and automatically handling peer failures. If one indexer becomes unavailable, other peers in the cluster can continue to serve search requests and maintain data availability, ensuring continuous operation within a distributed Splunk environment.

NEW QUESTION # 144
A customer with a large distributed environment has blacklisted a large lookup from the search bundle to decrease the bundle size using distsearch.conf. After this change, when running searches utilizing the lookup that was blacklisted they see error messages in the Splunk Search UI stating the lookup file does not exist.
What can the customer do to resolve the issue?

A. The search needs to be modified to ensure the lookup command specifies parameter local=true.
B. The blacklisted lookup definition stanza needs to be modified to specify setting allow_caching=true.
C. The lookup cannot be blacklisted; the change must be reverted.
D. The search needs to be modified to ensure the lookup command specified parameter blacklist=false.

Answer: A

NEW QUESTION # 145
A customer has a new set of hardware to replace their aging indexers. What method would reduce the amount of bucket replication operations during the migration process?

A. Put the old indexers into manual detention.
B. Put the old indexers into automatic detention.
C. Disable the indexing ports on the old indexers.
D. Disable replication ports on the old indexers.

Answer: B

NEW QUESTION # 146
An index receives approximately 50GB of data per day per indexer at an even and consistent rate. The customer would like to keep this data searchable for a minimum of 30 days. In addition, they have hourly scheduled searches that process a week's worth of data and are quite sensitive to search performance.
Given ideal conditions (no restarts, nor drops/bursts in data volume), and following PS best practices, which of the following sets of indexes.conf settings can be leveraged to meet the requirements?

A. maxDataSize, frozenTimePeriodInSecs, maxVolumeDataSizeMB
B. maxDataSize, maxTotalDataSizeMB, maxHotBuckets, maxGlobalDataSizeMB
C. frozenTimePeriodInSecs, maxWarmDBCount, homePath.maxDataSizeMB, maxHotSpanSecs
D. frozenTimePeriodInSecs, maxDataSize, maxVolumeDataSizeMB, maxHotBuckets

Answer: B

NEW QUESTION # 147
When monitoring and forwarding events collected from a file containing unstructured textual events, what is the difference in the Splunk2Splunk payload traffic sent between a universal forwarder (UF) and indexer compared to the Splunk2Splunk payload sent between a heavy forwarder (HF) and the indexer layer? (Assume that the file is being monitored locally on the forwarder.)

A. The HF sends a stream of 64K TCP chunks with one set of metadata fields attached to represent the entire stream, whereas the UF sends individual events, each with their own metadata fields attached.
B. The UF sends a stream of data containing one set of medata fields to represent the entire stream, whereas the HF sends individual events, each with their own metadata fields attached, resulting in a lager payload.
C. The payload format sent from the UF versus the HF is exactly the same. The payload size is identical because they're both sending 64K chunks.
D. The UF will generally send the payload in the same format, but only when the sourcetype is specified in the inputs.conf and EVENT_BREAKER_ENABLE is set to true.

Answer: B

NEW QUESTION # 148
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