Which template is used to prevent duplicate records when multiple requests are sent to a database?

Study for the Celigo Builder Core Certification Exam with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

Multiple Choice

Which template is used to prevent duplicate records when multiple requests are sent to a database?

Explanation:
The Concurrency ID lock template is specifically designed to handle situations where multiple requests might attempt to create or update records in a database concurrently. This template ensures that only one operation can occur at a time for a given record, effectively preventing the creation of duplicate records. When a request is made to modify or add a record, the template establishes a lock based on a unique identifier. If another request tries to access the same record while it is locked, it is either queued or denied, ensuring data integrity. This mechanism is crucial in applications where simultaneous processing can lead to data inconsistency or duplication. The other choices serve different purposes: the Data URI template is primarily focused on data transfer, the Record Update template deals with modifying existing records, and the Data Validation template ensures that the data entered meets certain criteria. However, none of these directly address the issue of preventing duplicate records caused by concurrent requests, which is the specific function of the Concurrency ID lock template.

The Concurrency ID lock template is specifically designed to handle situations where multiple requests might attempt to create or update records in a database concurrently. This template ensures that only one operation can occur at a time for a given record, effectively preventing the creation of duplicate records.

When a request is made to modify or add a record, the template establishes a lock based on a unique identifier. If another request tries to access the same record while it is locked, it is either queued or denied, ensuring data integrity. This mechanism is crucial in applications where simultaneous processing can lead to data inconsistency or duplication.

The other choices serve different purposes: the Data URI template is primarily focused on data transfer, the Record Update template deals with modifying existing records, and the Data Validation template ensures that the data entered meets certain criteria. However, none of these directly address the issue of preventing duplicate records caused by concurrent requests, which is the specific function of the Concurrency ID lock template.

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