Salesforce Certified Data Architecture Practice Test

A well-designed data model is characterized by efficient queries and data integrity, which is precisely why this choice is the correct answer.

Efficient queries mean that the data model supports fast and optimized retrieval of information, allowing users and applications to access data without unnecessary delays. This efficiency typically arises from proper indexing, normalization, and thoughtful structuring of the database. When data is organized in a way that aligns with its usage patterns, it becomes easier and quicker to perform operations such as searches, updates, and aggregations.

Data integrity refers to the accuracy, consistency, and reliability of the data stored in the database. A well-structured data model enforces constraints and relationships between data entities to ensure that the data remains valid throughout its lifecycle. This includes mechanisms like primary and foreign keys, validation rules, and triggers that prevent incorrect data entry and maintain synchronization between related pieces of data.

High levels of data redundancy can lead to increased storage requirements and potential inconsistencies in data, which detracts from both efficiency and integrity. Frequent data cleansing indicates issues with data quality, suggesting that the model may not be well-structured. Similarly, limitations on user access to data, while important for security and compliance, do not directly relate to the quality or design of the data