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Cassandra Interview Questions and Answers

Cassandra Interview Questions and Answers

by GangBoard Admin, June 11, 2019

Cassandra Interview Questions and Answers

In case you’re searching for Cassandra Interview Questions and answers for Experienced or Freshers, you are at the correct place. There is parcel of chances from many presumed organizations on the planet. The Cassandra advertise is relied upon to develop to more than $5 billion by 2020, from just $180 million, as per Cassandra industry gauges. In this way, despite everything you have the chance to push forward in your vocation in Cassandra Development. GangBoard offers Advanced Cassandra Interview Questions and answers that assist you in splitting your Cassandra interview and procure dream vocation as Cassandra Developer.

Best Cassandra Interview Questions and Answers

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In a bid to accommodate plenty of questions from the user-trainees, who have gone through  their Apache Cassandra Training and cracked interviews at multiple MNCs the world over and eminently placed, we have prepared an extract  from the archives of valuable of Cassandra Interview Questions, Below  are the most frequently asked questions we have prepared methodically to make it easy for those who are willing to crack the interview with ease. All the related Answers have been texted by our professionally experienced experts and are tailored to meet the concepts expected by the interviewer so that the candidate for the interview is full of conviction and ready for cutting edge Answers to arrows of questions thrown at him, whatever be the context, open-ended or closed-ended.

The following questions-Answers have been prepared to guide you through in conceptualizing the objective elements inherent in Cassandra or alternatively called Apache Cassandra.

Q1) Can you explain the term, Cassandra?

Answer:

It is an emphatically available NoSQL, carrying multiple databases at different sites that are an open source, catering to deal in voluminous data. High availability and virtually no single point failure are the key features.

Q2) What is the replication factor?

Answer:

In a node lies the data which is subjected to replication. Fault forbearance is ensured by copying data from one node to another. The particular quantity of data copied in a given time and trAnswer:ferred to different nodes can be defined as a replication factor.

Q3) Clarify the NoSQL Database.

Answer:

Dealing with a non-relational database is NoSQL. If you expand the term, it may stand as Not Only SQL database. It facilitates a system that stores and recovers several data.

Q4) Define the term Column Families.

Answer:

Column families constitute a keyspace. Alternatively, column families denote titles or application related tables.

Q5) What is node?

Answer:

A node is a mechanism which is intrinsic in a cluster. It is the principal area wherein data is stored.

Q6) Query language is executed in Cassandra database. Clarify.

Answer:

Cassandra query language is an interface which is used to access the database. To be precise, it is a medium to communicate with the Cassandra. Each and every activity begins at this panel.

Q7) Why is Cassandra popular? Clarify.

Answer:

  • Cassandra can forebear the fault element as it can be replicated to different nodes.
  • A large quantity of data can be dealt with by using Cassandra.
  • High scalability is the essence.

 Q8) Explain the commit log.

Answer:

There is every possibility that a database can crash. Commit log is a mechanism which helps in retrieving the data in case of any casualty. Each execution is saved in and referred to a commit log.

Q9) Explain the composite key.

Answer:

The combination of column name and row key is known as a composite key. Through this, a column family is defined with a series of various data.

Q10) Clarify Memtable

Answer:

It is a cache space comprising of content in column and key configuration.

Q11) Clarify SSTable.

Answer:

If you expand, it is Sorted String Table. A data file accepting the regular Mem Tables is called an SSTable.

Q12) Tunable consistency is supported by Cassandra. Explain.

Answer:

Tunable Consistency is a significant feature of Cassandra. It can be termed as fresh and coincided rows of the data point on all corresponding replicas. Tunable Consistency enables programmers to prefer the most suited level of consistency.

There are two types of consistency, which are supported by Cassandra.

Eventual Consistency

When a data point is not updated, the recent data value is returned by the accesses eventually. A replica convergence seems to be achieved by the systems with eventual consistency.

Strong Consistency

As formulated, it is;

R+W > N

N = Number of replicas

W= Number of nodes that conforms to a gainful write

R= Number of nodes that is agreeable to a successful read

Q13) There seem to be certain management tools in Cassandra. What are they?

Answer:

DataStaxOpsCenter

It is an internet-based solution for managing and monitoring Cassandra cluster DataStax. It can be conveniently downloaded and accommodates an extra inclusion of OpsCentre.

SPM

Cassandra parameters and other OS and JVM metrics are basically managed by the SPM.

Q14) Explain the term Cluster.

Answer:

In Cassandra, the cluster is an extreme container meant for keyspaces which designs the nodes in a ring arrangement and subsequently the data is distributed to them. These nodes contain replica that comes forward and assumes responsibility in case data handling crashes.

Q15) Are Cassandra, Hadoop, Hbase and Cassandra are the same in nature? Specify.

Answer:

These all above databases are controlled by Apache.

  • Apache Hadoop functions to store files and computes grids processing through map reduce.
  • Apache Hive denotes a SQL type on the apex of Hadoop.
  • Apache HBase relates to storage of column family like Big Table.
  • Apache Cassandra also goes after column family storage built like Big Table with consistent Dynamo topology.

Q16) Specify Cassandra’s importance on Facebook.

Answer:

Facebook had modified Cassandra with a view to monitoring its inherent inbox searching. Afterwards, when Facebook inbox was upgraded and messenger surfaced, using Hbase, Instagram included Cassandra to its execution.

Q17) What are keywords?

Answer:

A sequence of identifiers, producing sting or token which are attributed to a task associated with are called keywords. As for instance, you can cite SELECT as a keyword meant to read data points.

Q18) Explain what is logging in Cassandra.

Answer:

Each and every log list is stored in logback.xml and you can change any property indiscriminately adopting this file. INFO level logs are written to system.log debug.log include debugging level entries.

Q19) Is HDFS utilized in Cassandra? If yes, where?

Answer:

The adaptable medium of Cassandra file system is termed as HDFS. It enables to operate on huge data with comfort. It has successfully replaced oriental methods of dealing with large quantum of nodal structures.

Q20) Explain the fundamental difference between Cassandra and Hadoop.

Answer:

Hadoop

It is an analytical dashboard that helps manage a large database.

Cassandra

Cassandra is purely NoSQL Database which enables high-speed performance together with executing online trAnswer:action volumes.

Q21) Explain the rudimentary difference between Cassandra and HBase.

Answer:

HBase

It is a multiple discharged database developed on Java and by nature an open source and NoSQL centric. It is used to exemplify online applications.

Cassandra

It’s an operative structure almost resembles HBase but the functionality is better served and attached to it are many advanced features as it was created post observing the fallacies of HBase. So, many technical loopholes have been eliminated, that were a part of HBase.

Q22) Elaborate on Identifiers.

Answer:

These are tokens, using usual expressions. These tokens directly relate to recognizing specific columns, tables and objects.

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