Your team wants to utilize GCP for real-time analytics and machine learning on a data stream that includes video and text. Which set of GCP services would you use to ingest, process, analyze, and apply machine learning models to this heterogeneous data?
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Correct answer: Cloud Pub/Sub for ingestion, Dataflow for processing, BigQuery ML for analytics, and AutoML Video Intelligence.
Why this is the answer
*Explanation:* For real-time analytics and machine learning on heterogeneous data streams (video and text), the recommended combination is **Cloud Pub/Sub for ingestion, Dataflow for processing, BigQuery ML for analytics, and AutoML Video Intelligence**. Cloud Pub/Sub can handle video and text data, Dataflow can process it in real-time, BigQuery ML can analyze the data, and AutoML Video Intelligence can apply machine learning models. Other options like Cloud Endpoints and Dataprep (not designed for real-time analytics), Cloud IoT Core and Data Fusion (not suitable for video datA. , App Engine and Cloud Composer (not designed for real-time analytics), and Cloud Functions and Dataproc (not optimized for real-time analytics on heterogeneous datA. are not as suitable for this specific use case.
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