Question 1. In a Splunk deployment architecture, which component is
primarily responsible for indexing and storing raw data?
A) Search Head
B) Forwarder
C) Indexer
D) Deployment Server
Answer: C
Explanation: The indexer is responsible for parsing, indexing, and
storing raw data, making it the core component for data storage within
Splunk's architecture.
Question 2. What is the main difference between a Universal
Forwarder and a Heavy Forwarder in Splunk?
A) Universal Forwarder can run scripted inputs; Heavy Forwarder
cannot
B) Heavy Forwarder can perform parsing and indexing; Universal
Forwarder cannot
C) Universal Forwarder is lightweight and primarily forwards raw
data; Heavy Forwarder can parse, index, and route data
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D) Heavy Forwarder is used only in cloud deployments; Universal
Forwarder is used on-premises
Answer: C
Explanation: Universal Forwarders are lightweight agents that only
forward raw data, while Heavy Forwarders have capabilities for
parsing, indexing, and routing data, providing more processing power.
Question 3. Which deployment topology is most suitable for a small
environment with minimal data sources and a single location?
A) Distributed deployment
B) Multi-site clustering
C) Single-instance deployment
D) Cloud-based deployment
Answer: C
Explanation: Single-instance deployment is ideal for small
environments where all components run on a single server,
simplifying setup and management.
Question 4. In Splunk, what is the primary purpose of index buckets?
A) To temporarily store search results
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B) To store parsed and indexed data for efficient search and retrieval
C) To cache user preferences
D) To hold configuration files for Splunk apps
Answer: B
Explanation: Buckets are storage units that hold parsed and indexed
data, enabling efficient searches and data management.
Question 5. Which component manages the configuration and
deployment of search head clustering in Splunk?
A) Cluster Master
B) Deployment Server
C) Search Head Pooler
D) Indexer Cluster Master
Answer: A
Explanation: The Cluster Master manages the configuration,
coordination, and health monitoring of search head clusters.
Question 6. What is a key benefit of implementing search head
pooling in Splunk?
A) Increased data ingestion speed
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B) High availability and load balancing for search heads
C) Reduced indexer storage requirements
D) Automated data retention policies
Answer: B
Explanation: Search head pooling provides high availability and load
balancing by distributing search load across multiple search heads.
Question 7. How does Summary Indexing improve search
performance in Splunk?
A) By reducing the volume of raw data stored
B) By precomputing and storing summarized data for faster retrieval
C) By compressing data buckets
D) By automatically archiving old data
Answer: B
Explanation: Summary Indexing precomputes and stores summaries
of data, enabling faster searches on aggregated information.
Question 8. Which of the following best describes the role of the
Cluster Master in a Splunk indexer cluster?
A) To execute search queries across indexers