Here are 30 Kibana interview questions along with their answers:
1. What is Kibana?
Ans: Kibana is an open-source data visualization and exploration tool that is part of the Elastic Stack. It provides a user-friendly interface to analyze, search, and visualize data stored in Elasticsearch.
2. What are the key features of Kibana?
Ans: Some key features of Kibana include:
- Data exploration and visualization through interactive dashboards
- Support for various chart types, including bar charts, line charts, pie charts, etc.
- Real-time data monitoring and alerting
- Elasticsearch query and data manipulation capabilities
- Integration with other components of the Elastic Stack (Elasticsearch, Logstash, Beats)
3. How does Kibana interact with Elasticsearch?
Ans: Kibana interacts with Elasticsearch by sending search queries to retrieve data from Elasticsearch indices. It uses the RESTful API provided by Elasticsearch to communicate and perform operations on the data.
4. What is an index pattern in Kibana?
Ans: An index pattern in Kibana is a configuration that defines which Elasticsearch indices to query and analyze. It allows you to specify the fields and mappings of the indices, enabling Kibana to understand the data structure and perform visualizations and searches.
5. What is a visualization in Kibana?
Ans: A visualization in Kibana is a graphical representation of data. It can be a bar chart, line chart, pie chart, map, or other visual representation that helps to analyze and understand the data stored in Elasticsearch.
6. What is a dashboard in Kibana?
Ans: A dashboard in Kibana is a collection of visualizations, saved searches, and other UI elements arranged on a single page. It provides a comprehensive view of data and allows users to monitor and interact with different visualizations simultaneously.
7. How can you create a visualization in Kibana?
Ans: To create a visualization in Kibana, you need to define an index pattern, select the visualization type (e.g., bar chart, line chart), choose the data fields and aggregations, and configure other visualization settings. Kibana provides a user-friendly interface for creating and customizing visualizations.
8. What is the Discover module in Kibana?
Ans: The Discover module in Kibana allows users to explore and search the data stored in Elasticsearch indices. It provides an interactive interface where you can view individual documents, apply filters, and perform searches.
9. How can you create a dashboard in Kibana?
Ans: To create a dashboard in Kibana, you can select the desired visualizations and saved searches from the Visualize and Discover modules and add them to the dashboard layout. You can arrange the elements, configure filters, and customize the appearance of the dashboard.
10. Can you create custom visualizations in Kibana?
Ans: Yes, Kibana provides a visualization editor that allows you to create custom visualizations by defining the desired data fields, aggregations, and visualization settings. You can create advanced visualizations using the available options and settings.
11. What is the purpose of Timelion in Kibana?
Ans: Timelion is a time series data visualization plugin for Kibana. It allows you to create time-based visualizations and perform time series analysis using a simple expression language.
12. How can you create alerts and notifications in Kibana?
Ans: Kibana provides the Watcher feature for creating alerts and notifications based on predefined conditions. You can configure watches to monitor specific data patterns or anomalies and trigger actions like sending emails or integrating with external systems.
13. What is Elasticsearch SQL in Kibana?
Ans: Elasticsearch SQL is a feature in Kibana that allows you to run SQL-like queries on Elasticsearch data. It provides a familiar syntax for querying and analyzing data stored in Elasticsearch using SQL statements.
14. What Is Kibana Port?
Ans: The default settings configure Kibana to run on localhost:5601. To change the host or port wide variety, or connect with Elasticsearch going for walks on a specific machine, you’ll want to update your kibana.Yml record. You also can enable SSL and set a spread of different options.
15. What Is Kibana.Yml?
Ans: The Kibana server reads properties from the kibana.Yml record on startup. To trade the host or port quantity, or hook up with Elasticsearch walking on a one-of-a-kind gadget, you’ll need to replace your kibana.Yml record. You can also permit SSL and set a variety of different alternatives.
16. Mention the different types of queries which are supported by Elasticsearch?
Ans: The majority of the queries are divided into two types categorizing various segments into it.
FULL-TEXT QUERIES – It includes match query, range query, prefix query, common term query, and so on.
TERM LEVEL QUERIES- It includes term set query, wildcard query, fuzzy query, IDs query, and so on.
17) What do you understand by kibana settings?
Ans: It is a page that allows a user to change multiple things like index patterns and values. It also includes indices and object selection changes.
18) What is the Kibana Visual interface according to you?
Ans: A complete platform to modify the customs and change them according to the desires is provided by the Kibana Visual interface. This includes bars to Pie Charts and data tables.
19) Can you define node?
Ans: In terms of technical language node is always referred to as a single server or system which is part of a cluster. It also stores data and anticipates the search capabilities of the Server.
20) What do you understand by a document in Elasticsearch?
Ans: In the databases, a document is basically correlated with having the same structural data for common segments. Each of the fields can represent itself multiple times in a document with different data types.
21. Which operations can be performed on a document using Elasticsearch?
Ans: Following are the operations that could be performed over documents using Elasticsearch-
- Indexing
- Fetching
- Updating
- Deleting
22. Can you define node?
Ans: In terms of technical language node is always referred to as a single server or system which is part of a cluster. It also stores data and anticipates the search capabilities of the Server.
23. Is Elasticsearch a Nosql DB?
Ans: Elasticsearch is a full-text, distributed NoSQL database. In other words, it uses documents rather than schema or tables. It’s a free, open-source tool that allows for real-time searching and analyzing of your data.
24. What is meant by shards in Elasticsearch?
Ans: Elasticsearch enables you to split the index using shards, which are smaller portions of the index. Each shard is a comprehensive integrated and conscious “index” that can be stored on any cluster node. Elasticsearch ensures redundancy by redistributing documents in an index throughout many shards and those shards across numerous nodes, which provides against component failure while also increasing query capacity when nodes are deployed to a cluster.
25. Explain Kibana Lens?
Ans: Kibana Lens is a designed tool that allows both expert and inexperienced users to have quick access to information insights. The lens is indeed a drag-and-drop UI interface to make analyzing Elasticsearch data and creating visuals easier. The lens makes it easier to make charts by suggesting various ways to show data implemented in data analysis and typical usage patterns.
A user can do the following with Kibana Lens:
With minimal program involvement, browse the data in an Elasticsearch index.
Create many data visualizations by dragging and dropping data fields.
Search across many Elasticsearch indices at the same time for evaluation in the same visualization.
Switch aggregations and chart types in real-time to create data visualizations.
Kibana allows you to create interactive dashboards without coding or prior training.
26. Explain Kibana Pre-configured Dashboards?
Ans: When using the Elastic Stack to analyze metrics and logs, you can choose from a multitude of preconfigured dashboards for a variety of data sources. From the outset, use Kibana like a pro. Following are a few preconfigured dashboards:
Web Server Modules: Instance dashboards— NGINX, Apache, HAProxy, IIS, and other web servers make it simple to get started tracking system metrics and log data in Kibana. Use these pre-configured dashboards to get started quickly, and then adjust them to match your specific needs.
27. How do I visualize the data in Kibana?
Ans: Data can be transformed using a number of tables, maps, charts, and other tools in Kibana’s Visualize app. How to add visuals to a dashboard is detailed in the Kibana documentation.
The Visualize, map apps, and Canvas in the Kibana left navigating side panel all enable users to view data from Elasticsearch. Standard graphs and charts, as well as Kibana Lens, are available in the Visualize app. Users can utilize Canvas to generate visual content reports and presentations using live data, as well as additional fine-grained formatting choices like custom CSS components. Users may map their spatial information using Elasticsearch indices as distinct layers in a complete view using Elastic Maps.
28. Explain Kibana Security?
Ans: The Elastic Stack’s security measures provide appropriate access to the relevant individuals. This feature helps application, IT, and Operation teams monitor well-intentioned people and keep malicious activity away, while administrators and consumers can rest assured knowing their data is kept secure and safe in the Elastic Stack.
29. Tell us about Index life management?
Ans: Index lifecycle management (ILM) allows users to design and implement a framework for deciding how long an index should survive in each of the four stages, as well as the activities that should be conducted on the index throughout each phase. Because data may be placed in multiple resource tiers, this provides for greater cost control.
- Hot: Updated and queried regularly.
- Warm: the data hasn’t been updated in a while, but it’s still being queried.
- Cold/Frozen: hasn’t been updated in a long time and is rarely queried (search is possible, but slower)
- Delete: this item is no longer required.
30. Explain about the term Snapshot Lifecycle Management?
Ans: Snapshot lifecycle management (SLM) APIs act as a background snapshot manager, allowing operators to set the cycles at which an Elasticsearch network is snapshotted. SLM provides a specialized interface that enables users to configure persistence for SLM rules as well as create, schedule, and remove snapshots periodically, ensuring that adequate snapshots of a particular cluster are generated on a regular adequate time to restore under client SLAs.
