Couchbase interview questions and Answers

10 Feb 2022, 13 Questions

Most Frequently Asked Couchbase interview questions

Here in this article, we will be listing frequently asked Couchbase interview questions and Answers with the belief that they will be helpful for you to gain higher marks. Also, to let you know that this article has been written under the guidance of industry professionals and covered all the current competencies.

Q1. What is Couchbase and Why it is used?

Couchbase server is basically a NoSQL database which is elastic, fast and also easy to use. Couchbase server is also known as Membase which means couchbase server is distributed, multi-model NoSQL file oriented database software packet. Couchbase server is considered for the standard application which has many uses and is broadly adopted in the modern-day approaches.

Why is it used?

Couchbase Server is a specialist in providing low-latency data management for a large-scale interactive mobile, web and also IoT applications. Some of the requirements which couchbase server fulfill include:-

  • Unified Programming Interface
  • Query
  • Search
  • Analytics
  • Core database engine
  • Scale-out architecture
  • Memory-first architecture
  • Big data and SQL integrations
  • Full-stack security
  • Container and Cloud deployments
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Q3. What is the difference between Couchbase and MongoDB?
Answer Couchbase MongoDB
1. It gives seamless scalability It gives multi-step scalability
2. It comes with high consistency It comes with low consistency
3. The uptime of Couchbase is always up The uptime of MongoDB needs maintenance
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Q5. Explain the features of the Couchbase server?
The key features of the Couchbase Server are as follows:-
  • Fast – Couchbase Server is high-speed and it process complex requests in a short time. Couchbase Server provides low latency and high throughput. The performance cost is also very low.
  • Simple – Couchbase Server is straightforward to understand, manage, install, expand and use. In the couch. It is not essential to create and maintain the schemas in a couchbase server.
  • Elastic – The Couchbase Server makes it very easy to relate the optimal quantity of resources to the ever-changing requirements of an application by distributing the data and me/O over virtual machines or over commodity servers. In couchbase server, the nodes can be extended from 1 to 100 tons and can also get reduced to uphold the application performance.
  • Adaptive:- Couchbase servers adopt minor and significant changes in a straightforward way.
  • Reliable – Couchbase server is very much stable and an enterprise-ready software, therefore, anyone can trust in mission-critical applications.

This is a fundamental Couchbase interview question.

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Q6. Explain the difference between CouchDB and Couchbase?
Answer CouchDB Couchbase
1. CouchDB can only store JSON documents Couchbase stores key-values, therefore, it can store JSON documents, Binary data and many more

Point to be noted: Go through this Q&A very thoroughly as this is one of the essential Couchbase interview questions.

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Q7. What is a data bucket?

Couchbase Server stores the data in a data bucket. It is essential to have a data bucket because of the couchbase server only chooses a data bucket for storing its data. When the couchbase server is installed then data bucket gets created by default. The data bucket can store up to 250MB data but if more data has to be added then new bucket can be created on if there is enough space in RAM.

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Q8. What is document in couchbase?

A document is basically an entry which is made to a database. Each document has a specific ID, and this unique Id is used to locate the document in the server. The application data like information regarding price and description is stored in the document, and the user can access this application data a per his/her requirement. The document gives the primary information about a particular essential task

On the server not always but mostly the document is stored as a JSON because it is a well-structured format and it can be searched and queried subsequently.

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Q9. What is vBucket in couchbase?

In some situations when the data have to be divided in a logical manner. vBucket is adopted for this purpose of sharing the data. All the buckets which are there in the Couchbase automatically get divided if this option of the bucket is enabled by the user. One of the best features about the bucket approach is that the users can make sure of effective allotment of the data throughout a cluster.

This is one of the most asked Couchbase interview questions.

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Q10. Explain Data manager in Couchbase

Data Manager is a functional block having some useful applications. Data Manager is accountable for the purpose of storing and extracting the data from applications. There are many other tasks which the Data manager performs without impacting the functionality of the software. The majority of the data manager code is written in C and in C++.

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Q11. Explain Storage engines in Couchbase server?

Couchbase Server actually has a tail-append storage design which is unaffected to the corruption of data, abrupt loss of power or OOM killers. Data is written in the data file in an append-only manner, which enables Couchbase to do sequential write-ups for an update, and it also provides an optimized access pattern and also enhanced access patterns for disk Input/Output.

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Q12. What is Analytics in Couchbase?

Analytics in couchbase is designed to run complex queries over numerous records with efficiency. Complex questions mean large ad hoc join, aggregation, set and grouping operations, any

of them may result in the long-running queries, high consumption of memory, high use of CPU and/or excessive network latency due to data fetching and also due to cross node coordination. Couchbase Analytics is mostly preferred for expensive queries

This is one of the favorite questions in Couchbase interview Questions.

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Q13. What is Query Workbench in Couchbase?

With the help of Query Workbench, the user can easily explore the data and create, edit, run, and save N1QL queries, view and also save query results, and also examine the structures of the document in a bucket and all these features only in a single window.

Query Workbench Features
  • A single visual interface to execute query development and testing.
  • Complex queries can be easily viewed and edited by giving features like multi-line formatting, syntax coloring, copy-and-paste, auto-completion of N1QL keywords, bucket and field names and smooth cursor movement.
  • By using the N1QL INFER command, the structure of the documents in a bucket can be viewed. The user does not have to select the documents randomly and predict the structure of the document.
  • Query results are displayed in multiple formats: tree, JSON and table, and the query results can be saved to a file on disk.
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