Certified LabVIEW Associate Developer (CLAD) Practice Test 2025 – Comprehensive All-in-One Guide to Exam Success!

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What data synchronization mechanism ensures no data is lost when providing data faster than it is processed?

Notifier

Queue

The correct answer is a queue. A queue is a data synchronization mechanism specifically designed to handle scenarios where data is produced at a rate faster than it can be consumed. In a queue, data is added to the end of the line as it is produced, and it can be processed in a first-in, first-out (FIFO) manner. This structure ensures that no data goes lost since the queue can hold multiple data items, allowing the processing element to retrieve and process each item at its own pace.

This feature of queues makes them particularly beneficial in applications where timing and processing rates vary. As data is produced, it accumulates in the queue, and once the consumer is ready to process, it can sequentially access each item without risking the loss of any data.

In contrast, other options such as notifiers and semaphores are designed for different types of communication and synchronization tasks. Notifiers are used for signaling between different parts of a program and do not inherently store data, whereas semaphores are primarily used for controlling access to a shared resource in concurrent programming. Local variables, on the other hand, store data but would not be suitable for scenarios with rapid data production since they do not provide storage capacity for multiple data points.

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Semaphore

Local Variable

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