Associate Solution Architect Interview Questions and Answers

Data in Snowflake is stored in a columnar format, using a combination of micro-partitions and clustering keys.

• Data is stored in micro-partitions, which are small, self-contained, and immutable units of storage.

• Clustering keys are used to organize data within micro-partitions based on common values, improving query performance.

• Snowflake uses a variant of columnar storage, storing data in columns rather than rows for efficient query processing.

• Data is stored in cloud storage, s...read more

Data modeling techniques include conceptual, logical, and physical modeling.

• Conceptual modeling focuses on high-level concepts and relationships

• Logical modeling translates conceptual model into specific data structures

• Physical modeling involves implementation details like tables and columns

Clustering in Snowflake is a feature that organizes data in a table based on one or more columns to improve query performance.

• Clustering keys determine the order in which data is stored in Snowflake, which can help reduce the amount of data scanned during queries.

• Clustering can be defined at the table level or at the partition level.

• Clustering can improve query performance by reducing the amount of data that needs to be scanned, especially for large tables.

• Example: Clustering...read more

Partition is a division or splitting of a physical or logical structure into separate parts.

• Partitioning helps in organizing data for better management and performance.

• In computer science, partitioning can refer to dividing a hard drive into separate sections for storing data.

• In database management, partitioning can involve splitting a large table into smaller, more manageable parts based on certain criteria.

• Partitioning can also be used in sorting algorithms to divide a list...read more