Cassandra Practice Test 2025 – 400 Free Practice Questions to Pass the Exam

Question: 1 / 400

Which characteristic is essential for effective query design in MongoDB?

Minimal usage of indexes

Querying must include variation in data types

Focusing on partition keys

Focusing on partition keys is essential for effective query design in MongoDB because partition keys significantly influence how data is distributed across the different nodes in a database cluster. In MongoDB, data is organized into collections, and partitioning helps to ensure that the data is efficiently stored and retrieved.

When you design queries with an understanding of partition keys, you can optimize data access patterns, reduce the amount of data scanned during a query, and improve performance. This leads to faster response times for queries since MongoDB can directly target the necessary partitions rather than processing all data indiscriminately.

Furthermore, leveraging the partition keys allows for better horizontal scaling by optimizing data distribution, which is crucial as the database grows. Queries that appropriately utilize the partition keys can thus maintain high throughput and low latency, essential for real-time application scenarios.

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Inclusion of multiple join operations

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