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Splunk SPLK-3003 Exam Syllabus Topics:

Section	Weight	Objectives
Monitoring and Troubleshooting	12%	- Monitoring Console 1. Health Monitoring 2. Monitoring Console Deployment 3. Instance Role Identification 4. Troubleshooting Techniques
Data Onboarding and Indexing	12%	- Data Processing 1. Parsing Pipeline 2. Forwarding Architecture 3. Indexing Process 4. Data Inputs
Security and Authentication	12%	- Access Management 1. Authorization Management 2. LDAP Integration 3. Authentication Configuration 4. Role-Based Access Control
Search and Reporting	14%	- Search Optimization 1. Search Execution Process 2. Sub-search Operations 3. Search Job Inspection 4. Search Efficiency Best Practices
Configuration Management	8%	- Deployment Server 1. Deployment Configuration 2. Deployment Apps 3. Deployment Server Administration 4. Deployment Server Architecture
Distributed Search	10%	- Distributed Search Architecture 1. Performance Considerations 2. Search Peers 3. Distributed Search Configuration 4. Search Affinity
Search Head Clustering	14%	- Cluster Management 1. Search Head Cluster Components 2. Knowledge Object Replication 3. Captain Election 4. Cluster Maintenance
Indexer Clustering	18%	- Cluster Architecture 1. Failure Recovery Processes 2. Bucket Lifecycle 3. Replication and Search Factors 4. Cluster Deployment and Configuration

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Splunk Core Certified Consultant Sample Questions (Q30-Q35):

NEW QUESTION # 30
What is required to setup the HTTP Event Collector (HEC)?

A. Each HEC input requires a unique name but token values can be shared.
B. Each HEC input requires a Source name field.
C. Each HEC input entry must contain a valid token.
D. Each HEC input requires an existing forwarder output group.

Answer: C

Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.1.0/Data/UsetheHTTPEventCollector

NEW QUESTION # 31
A non-ES customer has a concern about data availability during a disaster recovery event. Which of the following Splunk Validated Architectures (SVAs) would be recommended for that use case?

A. Topology Category Code: M4
B. Topology Category Code: C13
C. Topology Category Code: M14
D. Topology Category Code: C3

Answer: A

NEW QUESTION # 32
Which statement is true about subsearches?

A. Subsearches run at the same time as their outer search.
B. Subsearches work best for joining two large result sets.
C. Subsearches are faster than other types of searches.
D. Subsearches work best for small result sets.

Answer: C

Explanation:
Explanation
Explanation/Reference: https://community.splunk.com/t5/Archive/Looking-for-way-to-explain-why-subsearches-are-so- slow/m-p/479133

NEW QUESTION # 33
In which of the following scenarios is a subsearch the most appropriate?

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

Answer: D

NEW QUESTION # 34
A customer wants to understand how Splunk bucket types (hot, warm, cold) impact search performance within their environment. Their indexers have a single storage device for all data.
What is the proper message to communicate to the customer?

A. Searching hot and warm buckets result in best performance because by default the cold buckets are miniaturized by removing TSIDX files to save on storage cost.
B. While hot, warm, and cold buckets have the same search performance characteristics within the customers environment, due to their optimized structure, the thawed buckets are the most performant.
C. Because the cold buckets are written to a cheaper/slower storage volume, they will be slower to search compared to hot and warm buckets which are written to Solid State Disk (SSD).
D. The bucket types (hot, warm, or cold) have the same search performance characteristics within the customer's environment.

Answer: D

Explanation:
https://docs.splunk.com/Documentation/Splunk/9.1.3/Indexer/Reducetsidxdiskusage

NEW QUESTION # 35
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