Transcribing audio files is an example of ________ analytics (DP-900)

Correct answer: A) cognitive.
Cognitive analytics involves the use of advanced technologies like natural language processing, machine learning, and artificial intelligence to understand, learn, and derive insights from data. It goes beyond traditional analytics methods by simulating human thought processes.
Transcribing audio files requires cognitive capabilities because it involves converting spoken words or audio information into written text. This process often employs natural language processing algorithms to recognize and understand the spoken words, translating them into a readable form.
Cognitive analytics is well-suited for tasks that involve complex data interpretation, learning patterns, and making sense of unstructured data, such as audio or text.
In summary, transcribing audio files involves cognitive analytics due to the advanced technologies and algorithms used to process and understand the spoken content.