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Splunk SPLK-3003 Exam Syllabus Topics:

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

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Splunk Core Certified Consultant Sample Questions (Q23-Q28):

NEW QUESTION # 23
Which configuration item should be set to false to significantly improve data ingestion performance?

A. ANNOTATE_PUNCT
B. BREAK_ONLY_BEFORE_DATE
C. SHOULD_LINEMERGE
D. AUTO_KV_JSON

Answer: C

NEW QUESTION # 24
How does a monitor input remember its place in the input file after a restart?

A. The operating system remembers the position.
B. The position is written to the kvstore.
C. The position is written to the fishbucket.
D. A marker is written to the input file.

Answer: C

Explanation:
A monitor input tracks its reading position using the fishbucket, which stores file checkpoints including file identifiers and byte offsets. After a restart, Splunk references the fishbucket to determine where it last read in the file and resumes ingestion from that position.

NEW QUESTION # 25
In which of the following scenarios is a subsearch the most appropriate?

A. When joining multiple large datasets.
B. When joining results from multiple indexes.
C. When dynamically filtering hosts.
D. When filtering indexed fields.

Answer: B

NEW QUESTION # 26
In a large cloud customer environment with many (>100) dynamically created endpoint systems, each with a UF already deployed, what is the best approach for associating these systems with an appropriate serverclass on the deployment server?

A. Work with the cloud orchestration team to create a common host-naming convention for these systems so a simple pattern can be used in the serverclass.conf whitelist attribute.
B. Work with the cloud orchestration team to dynamically insert an appropriate clientName setting into each endpoint's local/deploymentclient.conf which can be matched by whitelist in serverclass.conf.
C. Using an installation bootstrap script run a CLI command to assign a clientName setting and permit serverclass.conf whitelist simplification.
D. Create a CSV lookup file for each severclass, manually keep track of the endpoints within this CSV file, and leverage the whitelist.from_pathname attribute in serverclass.conf.

Answer: B

NEW QUESTION # 27
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?
frozenTimePeriodInSecs, maxDataSize, maxVolumeDataSizeMB, maxHotBuckets

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

Answer: D

NEW QUESTION # 28
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