Your company needs to set up a real-time data analytics pipeline on GCP. You want to ingest data from various sources, perform streaming analytics, and store results in a scalable, managed data warehouse. Which GCP services should you use to build this pipeline?
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Correct answer: Google Cloud Pub/Sub for event-driven data ingestion, Google Cloud Dataflow for stream and batch data processing, Google BigQuery for real-time data warehousing and analysis.
Why this is the answer
*Explanation:* To set up a real-time data analytics pipeline on GCP, you should use Google Cloud Pub/Sub for event-driven data ingestion, Google Cloud Dataflow for stream and batch data processing, and Google BigQuery for real-time data warehousing and analysis. These services are specifically designed for building data pipelines, ingesting data, performing analytics, and storing results in a scalable, managed data warehouse. Google Cloud Bigtable and Google Cloud Dataprep serve different purposes and are not directly related to real-time data analytics.
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