Cassandra Data Modelling

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Quiz will ask 20 randomly selected questions with allotted time of . You can take the quiz more than once. Once you submit the quiz, you can review how you have done, the correct the answers for each questions and the explanation for the correct the answer.

Quiz Topics

8 Modules

Advanced Topics

4 topics
1.

Cassandra and Microservices Architecture

10 questions
2.

Materialized Views

10 questions
3.

Secondary Indexes vs Materialized Views

10 questions
4.

Using Spark with Cassandra

10 questions

Best Practices

4 topics

Data Consistency and Replication

4 topics

Performance Considerations

4 topics

Querying Data

4 topics

Table Design Principles

4 topics

Data Types in Cassandra

4 topics

Data Modeling Basics

4 topics
Sample questions

Which of the following statements about Apache Cassandra's data model is true?

Cassandra uses a relational model with fixed schemas.

Cassandra is designed for high availability and scalability.

Cassandra supports multi-row transactions.

Cassandra tables can have a dynamic number of columns.

In Cassandra, what is the purpose of a partition key?

To determine the distribution of data across nodes.

To enforce data integrity.

To uniquely identify a row within a partition.

To define the clustering order of the data.

Which of the following is a characteristic of NoSQL databases like Cassandra?

Support for complex joins between tables.

Schema flexibility.

ACID transactions across multiple rows.

Horizontal scalability.

What is the primary purpose of clustering columns in a Cassandra table?

To define the primary key.

To determine the order of data within a partition.

To create secondary indexes.

To enforce uniqueness of rows.

Which of the following best describes the CAP theorem as it relates to Cassandra?

Cassandra prioritizes consistency over availability.

Cassandra provides eventual consistency.

Cassandra sacrifices partition tolerance for availability.

Cassandra can achieve all three guarantees simultaneously.

Quiz Topics

8 Modules

Advanced Topics

4 topics
1.

Cassandra and Microservices Architecture

10 questions
2.

Materialized Views

10 questions
3.

Secondary Indexes vs Materialized Views

10 questions
4.

Using Spark with Cassandra

10 questions

Best Practices

4 topics

Data Consistency and Replication

4 topics

Performance Considerations

4 topics

Querying Data

4 topics

Table Design Principles

4 topics

Data Types in Cassandra

4 topics

Data Modeling Basics

4 topics