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Previous | Next | Full version of Cassandra Certification | Sample Cassandra Certification Questions | Quickly go through Spark Training Python & Scala
Question-5: Which of the following statements are correct with regards to Cassandra Data Modeling and Architecture?
A.In Cassandra for a Row primary key is optional.
B.You can connect to any node in Cassandra cluster for accessing the data.
C.Typically a cluster can have only one keyspace.
D.Typically a cluster should have only one keyspace for each application.
Ans: B,D
Exp: Cassandra database is a partitioned row store, where rows are organized into tables with mandatory primary key (it is not optional). They you can connect any node in any data center and access the data using the CQL language. And usually a cluster can have one keyspace per application composed of different tables.
Client read or write request can be sent to any node in the cluster. When a client connects to a node with a request, that node serves as the coordinator node for that particular client operation. This coordinator node acts as a proxy between the client application and the nodes that own the data being requested. It is the coordinator nodes responsibility to find which nodes in the ring should get the request based on how the cluster is configured.
Question-6: Which of the following is/are correct for the Datacenter?
A.Datacenter can be physical or virtual.
B.Data cannot be replicated across the data center.
C.Datacenters must be across physical locations
D.A Datacenter must have at least two cluster in it.
Ans : A
Exp: Lets first understand few terminology with regards to Cassandra database setup
Node: This is very basic using where your data will be stored. You can assume it as a one computer/laptop/server.
Cluster: Group of nodes which are distributed and connected, a cluster can have one or more nodes. Even a cluster can have single Datacenter or multiple Datacenter.
Datacenter: As we discussed cluster can have related nodes together for replication purposes. You can have either physical or virtual datacenter. Using separate datacenters prevents transactions from being impacted by other workloads and lower latency. Based on replication factor setting data can be written to multiple datacenters. Datacenter must never span physical locations.
A cluster can have multiple Datacenter in it, but Datacenter may not have multiple cluster in it. It is possible more than one Cassandra setup can exist in a single datacenter.
Question-7: Which all are the possible node types in a Cassandra datacenter?
A.Transactional
B.Graph
C.Analytics
D.Search
E.SearchAnalytics
Ans : A,B,C,D,E
Exp : You have to make sure that each datacenter would have only one node type as below and have specific purpose.
-Transactional: This is mainly used for storing transactional data for example e-commerce users purchase etc.
-Graph: When you have connected data like social network data then you should use this for analyzing, searching and managing highly connected data.
-Analytics : This node can be integrated with Apache Spark (To learn Apache Spark check here)
-Search: It can be integrated with the Apache Solr for providing efficient search solution.
-Search Analytics: You can have both search engine and analytics together.
Question-8: Which of the following statement is correct with regards to Data storage in Cassandra?
A.All Data is first written to the SSTables.
B.All Data is first written to the Commit logs.
C.Once data is written to commit log it can be archived, deleted.
D.Once data is written to SSTables it can be archived, deleted.
Ans : B, D
Exp : We need to understand the purpose of SSTables, and Commit Log first
Whenever write happens on the Database data first get written to commit log for the durability. And then data will be flushed to SSTables where it can be archived, deleted or recycled.
Previous | Next | Full version of Cassandra Certification | Sample Cassandra Certification Questions | Quickly go through Spark Training Python & Scala
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