Google Cloud Digital LeaderSecurity and operations with Google CloudHard
A manufacturing company is modernizing its factory floor operations by deploying IoT devices that send telemetry data to Google Cloud in real-time. They need a robust and scalable solution to ingest, process, and analyze this stream of data for anomaly detection and predictive maintenance. Which Google Cloud operations product is best suited for handling high-throughput, real-time data streaming and processing?
- ACloud Pub/Sub
- BCloud SQL
- CCloud Storage
- DBigQuery
Show answer & explanationAnswer & explanation
Correct answer: A. Cloud Pub/Sub
Cloud Pub/Sub is a fully managed real-time messaging service that allows you to send and receive messages between independent applications. It is ideal for ingesting high volumes of streaming data from IoT devices, enabling decoupled processing for services like anomaly detection.
Why the other options are wrong
- B. Cloud SQL is a relational database service, unsuitable for high-throughput, real-time streaming data ingestion.
- C. Cloud Storage is an object storage service, not designed for real-time streaming ingestion and processing.
- D. BigQuery is a data warehouse for analytical queries, not primarily for real-time ingestion of individual messages from IoT devices.
Cloud Pub/Sub
Cloud Pub/Sub is a fully managed real-time messaging service that allows you to send and receive messages between independent applications.
- Decouples senders and receivers (publishers and subscribers).
- Provides high throughput and low latency messaging.
- Scales automatically to handle large volumes of data.
Memory trick: Pub/Sub Pushes Predictive Processing.