Design a cloud pipeline to ingest global telemetry, provide real‑time processing and querying, and reliably store data for the proprietary tracking system. Which GCP product combination should you use?

This combination provides a robust, scalable solution for global telemetry. Cloud Pub/Sub is a global, real-time messaging service ideal for ingesting high volumes of telemetry data. Cloud Dataflow offers a fully managed service for executing both batch and stream processing pipelines, enabling real-time processing and analysis. Cloud Storage provides highly durable, scalable, and cost-effective object storage for reliably storing the processed data. Local SSDs are not a reliable long-term storage solution for a proprietary tracking system; they are ephemeral and tied to a specific VM. Cloud SQL is a relational database, which might not be the most scalable or cost-effective solution for raw telemetry data storage compared to Cloud Storage, and it's not designed for real-time stream processing. Cloud Load Balancing is for distributing network traffic, not for data ingestion or processing within a data pipeline.