Elasticsearch

How does Elasticsearch support real-time search and indexing? a) By using a single thread for indexing b) By indexing documents in near real-time and making them searchable as soon as possible c) By storing indexes in-memory only d) By using distributed databases for indexing Answer: b) By indexing documents in near real-time and making them […]

How does Elasticsearch handle multi-field search? a) By concatenating fields into a single field b) By using multi-field queries that search across multiple fields c) By normalizing all fields d) By sorting results based on field length Answer: b) By using multi-field queries that search across multiple fields Explanation: Elasticsearch allows multi-field queries, which enable

What is a filter in Elasticsearch queries used for? a) To sort query results b) To exclude certain documents from search results without affecting the score c) To modify the ranking of search results d) To remove duplicate documents Answer: b) To exclude certain documents from search results without affecting the score Explanation: Filters in

What is a snapshot in Elasticsearch? a) A real-time query of an index b) A backup of an index or cluster at a point in time c) A collection of shards d) A replica of a node Answer: b) A backup of an index or cluster at a point in time Explanation: A snapshot in

What is “reindexing” in Elasticsearch? a) Modifying the mapping of an existing index b) Copying documents from one index to another c) Caching query results for faster retrieval d) Backing up an index to a different node Answer: b) Copying documents from one index to another Explanation: Reindexing in Elasticsearch refers to the process of

What is an inverted index in Elasticsearch? a) A list of all documents in an index b) A mapping from terms to the documents that contain them c) A way to store metadata d) A method for optimizing searches Answer: b) A mapping from terms to the documents that contain them Explanation: An inverted index

How does Elasticsearch achieve horizontal scaling? a) By adding more memory to nodes b) By distributing shards across multiple nodes c) By increasing CPU power d) By using cloud storage Answer: b) By distributing shards across multiple nodes Explanation: Elasticsearch achieves horizontal scaling by distributing shards across multiple nodes, allowing the data and query load

What is the role of the master node in an Elasticsearch cluster? a) Storing data and handling search requests b) Managing cluster-wide settings and operations c) Handling backup and recovery operations d) Indexing data Answer: b) Managing cluster-wide settings and operations Explanation: The master node is responsible for managing cluster-wide operations, including creating or deleting

What is the default port for Elasticsearch? a) 80 b) 9200 c) 443 d) 8080 Answer: b) 9200 Explanation: The default port for Elasticsearch is 9200 for HTTP communication. Reference: Elasticsearch Quiz – MCQ Questions and Answers

What is a “mapping” in Elasticsearch? a) A blueprint for how data is stored in an index b) A method for joining documents c) A way to query data d) A strategy for distributing nodes Answer: a) A blueprint for how data is stored in an index Explanation: A mapping defines the schema for an

What is an Elasticsearch cluster? a) A single node running Elasticsearch b) A group of nodes working together to store and search data c) A way to store documents in a single table d) A set of backup nodes Answer: b) A group of nodes working together to store and search data Explanation: An Elasticsearch

What is an Elasticsearch node? a) A cluster of servers b) A single server or instance that is part of an Elasticsearch cluster c) A backup of an index d) A type of Elasticsearch query Answer: b) A single server or instance that is part of an Elasticsearch cluster Explanation: An Elasticsearch node is a

What is Kibana? a) A backup tool for Elasticsearch b) A web-based tool for visualizing and managing Elasticsearch data c) A type of Elasticsearch node d) A tool for migrating data to Elasticsearch Answer: b) A web-based tool for visualizing and managing Elasticsearch data Explanation: Kibana is an open-source web-based tool used for visualizing, analyzing,

What query language does Elasticsearch use? a) SQL b) SPARQL c) Elasticsearch Query DSL d) MongoDB Query Language Answer: c) Elasticsearch Query DSL Explanation: Elasticsearch uses its own domain-specific language, Elasticsearch Query DSL (Domain-Specific Language), for querying data in a flexible and powerful way. Reference: Elasticsearch Quiz – MCQ Questions and Answers

What is a replica shard in Elasticsearch? a) A backup of a primary shard b) A write-only shard c) A cache for query results d) A shard stored on the same node as the primary Answer: a) A backup of a primary shard Explanation: A replica shard is a copy of a primary shard, and

What is a shard in Elasticsearch? a) A type of query b) A basic unit of storage that allows horizontal scaling c) A backup of an index d) A part of the Elasticsearch client Answer: b) A basic unit of storage that allows horizontal scaling Explanation: A shard is a basic unit of storage in

What is a document in Elasticsearch? a) A table in a database b) A JSON object representing a piece of data c) A single entry in a log file d) A relational record Answer: b) A JSON object representing a piece of data Explanation: In Elasticsearch, a document is a JSON object that represents a

In Elasticsearch, what is an index? a) A collection of documents b) A single document c) A method for caching queries d) A backup of a database Answer: a) A collection of documents Explanation: An index in Elasticsearch is a collection of documents, and each index can store multiple types of documents. Reference: Elasticsearch Quiz

What technology is Elasticsearch built on? a) Apache Hadoop b) Apache Spark c) Apache Lucene d) Apache Kafka Answer: c) Apache Lucene Explanation: Elasticsearch is built on top of Apache Lucene, a powerful library for full-text indexing and searching. Reference: Elasticsearch Quiz – MCQ Questions and Answers

What is Elasticsearch primarily used for? a) Relational database management b) Full-text search and analytics c) File storage d) Video streaming Answer: b) Full-text search and analytics Explanation: Elasticsearch is primarily used for full-text search and analytics, allowing users to search and analyze large volumes of data in near real-time. Reference: Elasticsearch Quiz – MCQ