What is the primary purpose of Elasticsearch?

To provide distributed search and near real-time analytics

To act as a primary relational storage for ACID transactions

To provide a low-latency content delivery network for media assets

To function as a centralized firewall and network traffic controller

What is a "Shard" in Elasticsearch?

A horizontal partition of data that allows an index to scale

A specialized cache for frequently accessed search results

A backup copy of the cluster state stored in a remote repository

A hardware-level optimization for SSD-based indexing performance

What is the "Query DSL"?

A JSON-based language used to define searches and filters

A binary protocol for high-speed data ingestion

A SQL-to-REST translation layer for external database drivers

A schema definition tool for enforcing strict data types

What is the role of "Kibana" in the ELK stack?

To provide a visual interface for data exploration and analysis

To act as a persistent queue for incoming log streams

To parse and normalize raw text into structured JSON format

To manage the distribution of shards across physical nodes

What is a "Replica Shard"?

A copy of a primary shard used for failover and read scaling

A temporary shard created during an index migration

A shard that stores only metadata about the cluster state

A read-only shard used for long-term archival of old data

What is an "Inverted Index"?

A mapping of unique terms to the documents they appear in

A data structure that sorts documents by their creation date

A backup index created in reverse order for disaster recovery

A method for compressing text fields to reduce disk usage

What is the purpose of "Mapping" in Elasticsearch?

To define the schema and data types of document fields

To visualize geographical coordinates on a Kibana map

To distribute documents across specific physical disk drives

To track the relationships between different indexes

What is a "Node" in an Elasticsearch cluster?

A single running instance of Elasticsearch in a cluster

A specific JavaScript function within the Query DSL

An individual entry in an inverted index term list

A hardware load balancer that distributes API requests

In Kibana, what is the "Discover" tab used for?

To interactively explore, filter, and view raw document data

To browse the Kibana marketplace for new dashboard themes

To perform automated security scans on the Elasticsearch cluster

To detect and automatically fix broken index mappings

What does the "Match" query do in Elasticsearch?

Analyzes a search string and performs a full-text query

Finds documents that have identical field values

Identifies and merges duplicate documents in an index

Compares two different indexes for structural differences

What is "Score" (_score) in search results?

A numeric value indicating document relevance to a query

The percentage of disk space occupied by the index

The number of times a document has been viewed by users

A performance metric showing the query execution time

What is the purpose of an "Alias" in Elasticsearch?

To provide a secondary name for one or more indexes

To provide an encrypted nickname for sensitive API keys

To compress the name of an index to save memory

To create a hard link to a remote cluster index

What is "Logstash" used for?

To ingest, transform, and ship data to Elasticsearch

To act as a high-speed load balancer for Kibana

To store long-term archival data in a compressed format

To provide a command-line interface for the REST API

What is an "Aggregations" query (aggs)?

A way to summarize and group data for analytics

A specialized query for retrieving large binary objects

A method for merging multiple documents into a single entry

A process for moving shards between different nodes

What is a "Mapping Conflict"?

When a field is indexed with incompatible data types

When two indices have the same name in different clusters

When the master node fails to sync with data nodes

When two users attempt to update a document simultaneously

What is the "Bulk API"?

An API for performing many index/delete operations at once

An API for retrieving documents in large batches

A management tool for upgrading the cluster version

A specialized query for searching through encrypted data

What does "Near Real-Time" (NRT) mean in Elasticsearch?

There is a slight delay before indexed data is searchable

Data is searchable exactly 1 hour after indexing

Data is written to memory but only searchable after a restart

Queries only return results that were indexed yesterday

What is the purpose of the "Term" query?

To find documents that contain an exact, unanalyzed value

To find documents containing a specific analyzed sentence

To calculate the frequency of words across an entire index

To define the expiration time of a specific document

The search library that Elasticsearch is built upon

A visualization plugin for displaying network graphs

A cloud-based orchestration tool for Elastic clusters

A specialized data type for storing 3D model geometry

In Kibana, what is an "Index Pattern"?

A setting that tells Kibana which indices to visualize

A graphical template for designing index mappings

A mathematical formula used for relevance scoring

A security rule that restricts access to specific documents

What is "Split Brain" in a cluster?

A state where two nodes both believe they are the Master

A performance optimization that splits queries across CPUs

A backup strategy where data is mirrored to a separate cluster

An indexing method that separates text and numeric data

What is "Canvas" in Kibana?

A data-driven presentation tool for infographic dashboards

A low-level API for drawing custom charts in JavaScript

A background service that cleans up deleted shards

A sandbox environment for testing new index mappings

What is "Index Lifecycle Management" (ILM)?

A way to automate the movement and deletion of indices

A security protocol for rotating database passwords

A tool for recovering deleted documents from the trash bin

A method for calculating the uptime of a cluster node

Quizzes

Elasticsearch: Full-Text Search Engine Fundamentals

Elasticsearch Search Quizzes

Elasticsearch: Full-Text Search Engine Fundamentals

Mohammad Abu Mattar20 QuestionsIntermediatePublished: 23 Feb, 2026

Welcome to the Elasticsearch Basics Quiz! Elasticsearch is the powerhouse behind modern log analysis and real-time search. Whether you are troubleshooting a production crash by digging through Filebeat logs or building a performance dashboard in Kibana, understanding the underlying index structure and Query DSL is a must-have skill for modern DevOps engineers. Let’s see how much you know!

Elasticsearch: Full-Text Search Engine Fundamentals

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