Google Associate Cloud Engineer
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You are tasked with designing a data processing pipeline for analyzing time-series data on the Google Cloud Platform (GCP). Please determine the most appropriate GCP services to use at each stage of the pipeline. Specifically, identify the services that should be placed in boxes 1, 2, 3, and 4 of the pipeline architecture to ensure efficient data ingestion, processing, storage, and visualization.
You are tasked with designing a data processing pipeline for analyzing time-series data on the Google Cloud Platform (GCP). Please determine the most appropriate GCP services to use at each stage of the pipeline. Specifically, identify the services that should be placed in boxes 1, 2, 3, and 4 of the pipeline architecture to ensure efficient data ingestion, processing, storage, and visualization.
Explanation:
The correct answer is D. When building a pipeline to process time-series data, the combination of Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, and BigQuery provides a scalable and efficient solution. Cloud Pub/Sub is used for data ingestion, Cloud Dataflow for data transformation, Cloud Bigtable for time-series data storage, and BigQuery for data analysis. This configuration ensures real-time processing and analytics capabilities, making it suitable for handling large volumes of time-series data.