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Kibana MCQs and Answers With Explanation – Candidates seeking to evaluate their Kibana knowledge can use these Kibana MCQs with answers articles to assess their proficiency. To assist you, we have also included a brief overview of Kibana. Kibana, developed by Elastic, is an open-source data visualization and exploration platform that enables users to analyze and visualize large volumes of data stored in Elasticsearch in real-time. Its user-friendly interface, robust features, and flexibility make it a popular choice among users. We encourage you to explore the Top 50 Kibana Multiple Choice Questions and use them to prepare effectively.
Kibana Multiple Choice Questions
Kibana MCQs are multiple-choice questions designed to test users’ knowledge and understanding of Kibana features and functionalities. These Kibana Quiz Questions cover topics such as data visualization, dashboard creation, query and filter creation, and more. By answering these Kibana MCQ, users can enhance their proficiency in using Kibana and extract valuable insights from their data.
Kibana MCQs With Answers
| Name | Kibana |
| Exam Type | MCQ (Multiple Choice Questions) |
| Category | Technical Quiz |
| Mode of Quiz | Online |
Top 50 Kibana Quiz Questions | Practice Online Quiz
1. What is Kibana?
a) A tool for data analysis and visualization
b) A programming language
c) A database management system
d) An operating system
Answer: a) A tool for data analysis and visualization
Explanation: Kibana is an open-source analytics and visualization platform that allows users to explore, visualize, and analyze data stored in Elasticsearch. It offers a range of data visualization options, such as graphs, charts, and maps, and enables users to create custom dashboards for real-time data monitoring.
2. Which of the following is not a data visualization option in Kibana?
a) Pie charts
b) Heat maps
c) Bar charts
d) Line graphs
Answer: b) Heat maps
Explanation: Kibana supports various data visualization options, including pie charts, bar charts, line graphs, scatter plots, and many more. However, heat maps are not currently supported.
3. What is the primary language used for Kibana development?
a) Python
b) Ruby
c) Java
d) JavaScript
Answer: d) JavaScript
Explanation: Kibana is primarily developed using JavaScript, which is a popular programming language for web development.
4. What is the purpose of a Kibana index pattern?
a) To define how data is mapped to Elasticsearch
b) To create custom visualizations
c) To define search queries
d) To define index settings
Answer: a) To define how data is mapped to Elasticsearch
Explanation: A Kibana index pattern is used to define how data is mapped to Elasticsearch. It is a regular expression that matches one or more index names, and it is used to map fields in the index to fields in Kibana.
5. Which of the following is not a Kibana plugin?
a) X-Pack
b) Timelion
c) Logstash
d) Canvas
Answer: c) Logstash
Explanation: Logstash is not a Kibana plugin. It is a separate tool for data ingestion, processing, and transformation.
6. What is the purpose of the Discover tab in Kibana?
a) To create visualizations
b) To search and filter data
c) To manage Kibana settings
d) To manage user roles and permissions
Answer: b) To search and filter data
Explanation: The Discover tab in Kibana is used to search and filter data in Elasticsearch. It allows users to view and explore data in real-time, and it supports various search and filter options.
7. Which of the following is not a Kibana visualization type?
a) Histogram
b) Gauge
c) Map
d) Radar
Answer: d) Radar
Explanation: Kibana supports various visualization types, including histograms, gauges, maps, and many more. However, radar charts are not currently supported.
8. What is the purpose of the Kibana Dashboard?
a) To display real-time data visualizations
b) To manage Elasticsearch indices
c) To configure Kibana settings
d) To perform data analysis
Answer: a) To display real-time data visualizations
Explanation: The Kibana Dashboard is a customizable web page that displays real-time data visualizations. It allows users to create and customize visualizations and arrange them into a dashboard for real-time data monitoring.
9. Which of the following is not a Kibana data source?
a) Elasticsearch
b) Logstash
c) Beats
d) Apache Hadoop
Answer: d) Apache Hadoop
Explanation: Apache Hadoop is not a Kibana data source. However, Kibana supports various data sources, including Elasticsearch, Logstash, and Beats.
10. What is the purpose of Kibana Beats?
a) To collect and ship data to Elasticsearch
b) To create custom visualizations
c) To manage Kibana settings
d) To monitor Elasticsearch performance
Answer: a) To collect and ship data to Elasticsearch
Explanation: Kibana Beats is a family of lightweight data shippers that can be used to collect and ship data from various sources to Elasticsearch. They support various data types, such as logs, metrics, and network data, and they can be configured and monitored using Kibana.
11. Which of the following is not a Kibana visualization option for time-based data?
a) Timelion
b) Vega
c) Line chart
d) Geo heatmap
Answer: d) Geo heatmap
Explanation: Geo heatmap is not a Kibana visualization option for time-based data. However, Kibana supports various other visualization options, such as Timelion, Vega, and line charts.
12. Which of the following is not a Kibana security feature?
a) Role-based access control
b) SSL/TLS encryption
c) Cross-site scripting prevention
d) Distributed denial-of-service protection
Answer: d) Distributed denial-of-service protection
Explanation: Distributed denial-of-service protection is not a Kibana security feature. However, Kibana supports various other security features, such as role-based access control, SSL/TLS encryption, and cross-site scripting prevention.
13. Which of the following is not a Kibana data panel type?
a) Metric
b) Table
c) Gauge
d) Bubble chart
Answer: d) Bubble chart
Explanation: Bubble chart is not a Kibana data panel type. However, Kibana supports various other data panel types, such as metric, table, and gauge.
14. What is the purpose of Kibana Watcher?
a) To create alerts and notifications
b) To manage Kibana settings
c) To perform data analysis
d) To create custom visualizations
Answer: a) To create alerts and notifications
Explanation: Kibana Watcher is a tool that allows users to create alerts and notifications based on changes in data stored in Elasticsearch. It supports various notification channels, such as email, Slack, and PagerDuty.
15. Which of the following is not a Kibana filter type?
a) Range
b) Query string
c) Match
d) Inverse
Answer: d) Inverse
Explanation: Inverse is not a Kibana filter type. However, Kibana supports various other filter types, such as range, query string, and match.
16. What is the purpose of Kibana Canvas?
a) To create custom visualizations
b) To manage Elasticsearch indices
c) To configure Kibana settings
d) To perform data analysis
Answer: a) To create custom visualizations
Explanation: Kibana Canvas is a tool that allows users to create custom visualizations and reports using a drag-and-drop interface. It supports various data sources and visualization options, and it enables users to create pixel-perfect designs for their data.
17. Which of the following is not a Kibana search feature?
a) Fuzzy search
b) Regular expressions
c) Wildcard search
d) Approximate search
Answer: d) Approximate search
Explanation: Approximate search is not a Kibana search feature. However, Kibana supports various other search features, such as fuzzy search, regular expressions, and wildcard search.
18. What is the purpose of Kibana Rollups?
a) To aggregate and summarize data for long-term storage
b) To create custom visualizations
c) To manage Kibana settings
d) To monitor Elasticsearch performance
Answer: a) To aggregate and summarize data for long-term storage
Explanation: Kibana Rollups is a feature that allows users to aggregate and summarize data for long-term storage and analysis. It can be used to create high-level reports and dashboards, and it supports various data types, such as logs, metrics, and network data.
19. Which of the following is not a Kibana Time Filter feature?
a) Relative time
b) Absolute time
c) Interval
d) Aggregation
Answer: d) Aggregation
Explanation: Aggregation is not a Kibana Time Filter feature. However, Kibana supports various other Time Filter features, such as relative time, absolute time, and interval.
20. What is the purpose of Kibana Machine Learning?
a) To perform automated data analysis and anomaly detection
b) To create custom visualizations
c) To manage Elasticsearch indices
d) To monitor Elasticsearch performance
Answer: a) To perform automated data analysis and anomaly detection
Explanation: Kibana Machine Learning is a tool that allows users to perform automated data analysis and anomaly detection using machine learning algorithms. It supports various data types, such as logs, metrics, and network data, and it enables users to detect and diagnose issues in real-time.
21. Which of the following is not a Kibana query type?
a) Range
b) Match
c) Prefix
d) Facet
Answer: d) Facet
Explanation: Facet is not a Kibana query type. However, Kibana supports various other query types, such as range, match, and prefix.
22. What is the purpose of Kibana GeoIP?
a) To map IP addresses to geographic locations
b) To create custom visualizations
c) To manage Elasticsearch indices
d) To monitor Elasticsearch performance
Answer: a) To map IP addresses to geographic locations
Explanation: Kibana GeoIP is a feature that allows users to map IP addresses to geographic locations using the MaxMind GeoIP database. It can be used to create visualizations and reports based on geographic data, such as maps and heatmaps.
23. Which of the following is not a Kibana dashboard panel type?
a) Markdown
b) Metric
c) Pie chart
d) Bubble chart
Answer: d) Bubble chart
Explanation: Bubble chart is not a Kibana dashboard panel type. However, Kibana supports various other dashboard panel types, such as markdown, metric, and pie chart.
24. What is the purpose of Kibana Alerting?
a) To create alerts and notifications
b) To manage Kibana settings
c) To perform data analysis
d) To create custom visualizations
Answer: a) To create alerts and notifications
Explanation: Kibana Alerting is a feature that allows users to create alerts and notifications based on changes in data stored in Elasticsearch. It supports various notification channels, such as email, Slack, and PagerDuty.
25. Which of the following is not a Kibana data table feature?
a) Sorting
b) Pagination
c) Filtering
d) Grouping
Answer: d) Grouping
Explanation: Grouping is not a Kibana data table feature. However, Kibana supports various other data table features, such as sorting, pagination, and filtering.
26. What is the purpose of Kibana Lens?
a) To create visualizations using a drag-and-drop interface
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To perform data analysis
Answer: a) To create visualizations using a drag-and-drop interface
Explanation: Kibana Lens is a feature that allows users to create visualizations using a drag-and-drop interface. It supports various chart types, such as bar charts, line charts, and pie charts, and it enables users to customize their visualizations with different colors, labels, and filters.
27. Which of the following is not a Kibana index pattern type?
a) Time-based
b) Geo-based
c) Metric-based
d) Custom-based
Answer: b) Geo-based
Explanation: Geo-based is not a Kibana index pattern type. However, Kibana supports various other index pattern types, such as time-based, metric-based, and custom-based.
28. What is the purpose of Kibana Maps?
a) To create interactive maps based on geographic data
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To perform data analysis
Answer: a) To create interactive maps based on geographic data
Explanation: Kibana Maps is a feature that allows users to create interactive maps based on geographic data stored in Elasticsearch. It supports various map types, such as tile maps, region maps, and coordinate maps, and it enables users to customize their maps with different layers, styles, and markers.
29. Which of the following is not a Kibana data source type?
a) Elasticsearch
b) SQL
c) MySQL
d) Oracle
Answer: d) Oracle
Explanation: Oracle is not a Kibana data source type. However, Kibana supports various other data source types, such as Elasticsearch, SQL, and MySQL.
30. What is the purpose of Kibana Timelion?
a) To perform time series analysis and visualization
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To create custom reports and dashboards
Answer: a) To perform time series analysis and visualization
Explanation: Kibana Timelion is a feature that allows users to perform time series analysis and visualization using a custom query language. It supports various chart types, such as line charts, bar charts, and area charts, and it enables users to customize their visualizations with different filters, functions, and variables.
31. Which of the following is not a Kibana Canvas element type?
a) Shape
b) Image
c) Table
d) Text
Answer: c) Table
Explanation: Table is not a Kibana Canvas element type. However, Kibana Canvas supports various other element types, such as shape, image, text, and chart.
32. Which of the following is not a Kibana index management action?
a) Create index
b) Delete index
c) Merge index
d) Roll over index
Answer: c) Merge index
Explanation: Merge index is not a Kibana index management action. However, Kibana supports various other index management actions, such as create index, delete index, and roll over index.
32. What is the purpose of Kibana Query Language (KQL)?
a) To perform search and filter operations
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To perform data analysis
Answer: a) To perform search and filter operations
Explanation: Kibana Query Language (KQL) is a feature that allows users to perform search and filter operations in Elasticsearch using a simplified syntax. It supports various query types, such as term, match, and range, and it enables users to customize their queries with different operators and modifiers.
33. What is the purpose of Kibana Stack Management?
a) To manage Kibana settings and configurations
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To perform data analysis
Answer: a) To manage Kibana settings and configurations
Explanation: Kibana Stack Management is a feature that allows users to manage Kibana settings and configurations, such as index patterns, saved objects, and plugins. It also enables users to manage other components of the Elastic Stack, such as Elasticsearch and Logstash.
34. Which of the following is not a Kibana time range filter option?
a) Last 15 minutes
b) This month
c) Last quarter
d) Next year
Answer: d) Next year
Explanation: Next year is not a Kibana time range filter option. However, Kibana supports various other time range filter options, such as last 15 minutes, this month, and last quarter.
35. What is the purpose of Kibana Discover?
a) To search and explore Elasticsearch data
b) To manage Elasticsearch indices
c) To monitor Elasticsearch performance
d) To create custom reports and dashboards
Answer: a) To search and explore Elasticsearch data
Explanation: Kibana Discover is a feature that allows users to search and explore Elasticsearch data using a web interface. It supports various search and filter options, such as text search, facet search, and geo search, and it enables users to visualize their data using different chart types.
36. Which of the following is not a Kibana Canvas element?
a) Text
b) Image
c) Chart
d) Table
Answer: d) Table
Explanation: Table is not a Kibana Canvas element. However, Kibana Canvas supports various other elements, such as text, image, and chart, that users can use to create custom visualizations.
37. Which of the following is not a Kibana Saved Object type?
a) Visualization
b) Dashboard
c) Alert
d) Index pattern
Answer: c) Alert
Explanation: Alert is not a Kibana Saved Object type. However, Kibana supports various other Saved Object types, such as visualization, dashboard, and index pattern, that users can use to save and share their Kibana objects.
38. Which of the following is not a Kibana data visualization type?
a) Line chart
b) Scatter plot
c) Radar chart
d) Sunburst chart
Answer: c) Radar chart
Explanation: Radar chart is not a Kibana data visualization type. However, Kibana supports various other data visualization types, such as line chart, scatter plot, and sunburst chart, that users can use to visualize their Elasticsearch data.
39. Which of the following is not a Kibana data panel?
a) Metrics
b) Tables
c) Maps
d) Images
Answer: d) Images
Explanation: Images is not a Kibana data panel. However, Kibana supports various other data panels, such as metrics, tables, and maps, that users can use to visualize their Elasticsearch data.
40. Which of the following is not a Kibana Time Series Visual Builder element?
a) Aggregation
b) Metrics
c) Pipeline
d) Panel
Answer: d) Panel
Explanation: Panel is not a Kibana Time Series Visual Builder element. However, Kibana Time Series Visual Builder supports various other elements, such as aggregation, metrics, and pipeline, that users can use to create custom visualizations for time series data.
41. What is the purpose of Kibana Spaces?
a) To organize Kibana objects and dashboards
b) To create custom visualizations
c) To perform real-time data analysis
d) To monitor Elasticsearch performance
Answer: a) To organize Kibana objects and dashboards
Explanation: Kibana Spaces is a feature that allows users to organize Kibana objects and dashboards into spaces. It enables users to share their Kibana objects with specific groups of users, and it enables users to control access to their Kibana objects based on different roles and permissions.
42. Which of the following is not a Kibana index lifecycle policy phase?
a) Hot
b) Warm
c) Cold
d) Stale
Answer: d) Stale
Explanation: Stale is not a Kibana index lifecycle policy phase. However, Kibana supports various other index lifecycle policy phases, such as hot, warm, and cold, that users can use to manage the lifecycle of their Elasticsearch indices.
43. What is the purpose of Kibana Dev Tools?
a) To create custom visualizations
b) To perform real-time data analysis
c) To monitor Elasticsearch performance
d) To interact with Elasticsearch APIs
Answer: d) To interact with Elasticsearch APIs
Explanation: Kibana Dev Tools is a feature that allows users to interact with Elasticsearch APIs using a web-based interface. It enables users to perform CRUD operations on Elasticsearch indices, documents, and mappings, and it enables users to test and debug Elasticsearch queries.
44. Which of the following is not a Kibana Stack Management feature?
a) License management
b) Index pattern management
c) User management
d) Data masking
Answer: d) Data masking
Explanation: Data masking is not a Kibana Stack Management feature. However, Kibana Stack Management supports various other features, such as license management, index pattern management, and user management, that users can use to manage their Elasticsearch and Kibana installations.
45. Which of the following is not a Kibana machine learning feature?
a) Anomaly detection
b) Regression analysis
c) Forecasting
d) Clustering
Answer: b) Regression analysis
Explanation: Regression analysis is not a Kibana machine learning feature. However, Kibana supports various other machine learning features, such as anomaly detection, forecasting, and clustering, that users can use to identify patterns and trends in their data.
46. Which of the following is not a Kibana machine learning job type?
a) Anomaly detection
b) Forecasting
c) Clustering
d) Sentiment analysis
Answer: d) Sentiment analysis
Explanation: Sentiment analysis is not a Kibana machine learning job type. However, Kibana supports various other machine learning job types, such as anomaly detection, forecasting, and clustering, that users can use to analyze their data and identify patterns and trends.
47. Which of the following is not a Kibana Lens visualization type?
a) Bar chart
b) Line chart
c) Gauge chart
d) Scatter plot
Answer: c) Gauge chart
Explanation: Gauge chart is not a Kibana Lens visualization type. However, Kibana Lens supports various other visualization types, such as bar chart, line chart, and scatter plot, that users can use to create custom visualizations for their data.
48. Which of the following is not a Kibana alerting action?
a) Email
b) Slack
c) Webhook
d) Data masking
Answer: d) Data masking
Explanation: Data masking is not a Kibana alerting action. However, Kibana supports various other alerting actions, such as email, Slack, and webhook, that users can use to receive notifications when certain conditions are met.
49. Which of the following is not a Kibana search type?
a) Simple search
b) Lucene query string search
c) Kibana Query Language search
d) SQL query search
Answer: d) SQL query search
Explanation: SQL query search is not a Kibana search type. However, Kibana supports various other search types, such as simple search, Lucene query string search, and Kibana Query Language search, that users can use to search for data in their Elasticsearch indices.
50. Which of the following is not a Kibana alerting trigger?
a) Threshold
b) Relative
c) Absolute
d) Rolling
Answer: d) Rolling
Explanation: Rolling is not a Kibana alerting trigger. However, Kibana supports various other alerting triggers, such as threshold, relative, and absolute, that users can use to trigger alerts based on different conditions.
Kibana MCQs are an excellent resource for individuals looking to improve their understanding of Kibana’s various features and capabilities. And to receive more such technical quiz questions kindly keep checking our Freshersnow portal.