CASSANDRA

FREE Cassandra Skills Questions and Answers

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Which of the following factors determines how data are distributed within a cluster?

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Explanation:
The partitioner is responsible for deciding the distribution of data across the nodes in a Cassandra cluster. When data is inserted into a Cassandra cluster, the partitioner hashes the partition key to determine which node in the cluster should store the data. Different partitioners use different algorithms for hashing the partition key, but they all aim to distribute the data evenly across the nodes in the cluster. The choice of partitioner can have a significant impact on the performance and scalability of a Cassandra cluster, so it's an important consideration when setting up a new cluster.

Which of the following data types maintains the order of the supplied elements?

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Explanation:
In the List data type, the order of the elements entered is maintained. Lists are a collection of ordered elements, where each element is identified by an index or position within the list. Elements can be added, removed, or accessed by their index, and new elements can be added to the end of the list.

How can there be a Cassandra error if there are no syntax errors?

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Which of the following does Cassandra NOT possess?

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Explanation:
ACID operations is NOT a property of Cassandra. Cassandra is a NoSQL database that is designed to provide high scalability, high availability, and fault tolerance, particularly for large-scale, distributed data sets.

Which tool is employed to view a table's statistics?

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Explanation:
In Cassandra, nodetool is a command-line utility tool used to manage and monitor the Cassandra cluster. Nodetool can be used to view the statistics of a table, as well as other important information about the cluster and its nodes.

Which of the following data types is utilized to produce our own data kinds?

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Explanation:
As the name suggests, User-defined data types are used to create data types of our own. In Cassandra, user-defined data types are used to group multiple columns into a single data type, allowing you to define custom structures for your data.

What is the one thing that a cluster DOES NOT need?

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