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GCP Professional Cloud Architect Practice Question

Your media team has uploaded thousands of two-hour podcast recordings (FLAC files) into a Cloud Storage bucket. Editors need fully punctuated transcripts with word-level time offsets so they can load the results into BigQuery for analysis. Processing can occur asynchronously, and the team prefers to avoid building or operating any custom speech-recognition infrastructure. Which Google Cloud service should you recommend to meet these requirements?

  • Train a custom speech-recognition model on Vertex AI and deploy it behind Cloud Run for transcription.

  • Invoke Cloud Speech-to-Text asynchronous recognition on the Cloud Storage files, enabling automatic punctuation and word time offsets.

  • Run the Transcoder API to generate caption files from the FLAC recordings and import them into BigQuery.

  • Use Cloud Text-to-Speech to convert the audio into text and load the output into BigQuery.

GCP Professional Cloud Architect
Managing and provisioning a solution infrastructure
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