Data Infrastructures with Apache Cassandra Proficiency (Advanced Level)

  • 17m
  • 17 questions
The Data Infrastructures with Apache Cassandra Proficiency (Advanced Level) benchmark measures your ability to enumerate and contrast collection fields in Cassandra and understand partitioning and clustering keys. You will be evaluated on your skills in working with JSON and CSV data, identifying types of queries that are and are not allowed in Cassandra, creating indexes on Cassandra tables, performing grouping and aggregation operations, and working programmatically with Cassandra from a Java client. A learner who scores high on this benchmark demonstrates that they have the skills to work on Cassandra without any supervision.

Topics covered

  • connect to Cassandra from Java
  • create and use user-defined types
  • create indexes on columns
  • create indexes on continuous columns and query them
  • create tables with counter fields
  • create tables with multiple partition columns
  • describe partitioning and clustering keys
  • describe specific features of Cassandra, such as token ranges and vnodes
  • perform grouping and aggregation queries
  • perform update and delete operations from Java
  • query tables with primary and clustering keys
  • read and write CSV data
  • recall how data is modeled in Cassandra
  • recall how partitioning and clustering keys work
  • run atomic queries
  • view and insert data in JSON format
  • view the partitions in tables