Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
Prepare and test your skills
Prepare and test your skills
Worked example. The correct answer is already marked and every option is explained below, so there is nothing to select here. To answer questions yourself, start the free trial.
A digital media organization is building an automated content processing pipeline in Google Cloud. The system has three core operational requirements:
Which set of Google Cloud AI services should the organization select to satisfy all three requirements?
This architecture combines Google Cloud's prebuilt discriminative computer vision APIs with generative AI models to handle static image analysis, temporal video analysis, and text-to-image synthesis respectively.
StudyCerts
StudyCertsTEXT_DETECTION (sparse OCR), DOCUMENT_TEXT_DETECTION (dense OCR), and OBJECT_LOCALIZATION to identify and localize objects and extract text from static image formats and documents.OBJECT_TRACKING and TEXT_DETECTION features specifically engineered for video formats. It extracts bounding boxes along with precise temporal time offsets (start_time_offset and end_time_offset) across video segments and individual frames.Each chosen API corresponds directly to its native modality. Cloud Vision handles still imagery without video decoding overhead, Cloud Video Intelligence processes video streams and temporal tracking natively, and Imagen on Vertex AI fulfills text-to-image generative requirements.
Keep the momentum going with these hand-picked practice scenarios
Want more questions like this?
Get a free certification question every week.