Answer-first summary for fast verification
Answer: Cloud Pub/Sub, Cloud Dataflow, BigQuery
The correct sequence is **Cloud Pub/Sub, Cloud Dataflow, BigQuery**. This stack is ideal for handling IoT data because: 1. **Cloud Pub/Sub** offers a globally durable message ingestion service, perfect for streaming data from IoT devices. 2. **Cloud Dataflow** provides a managed service for processing data in various ways, including streaming computation, which is essential for IoT scenarios. 3. **BigQuery** serves as a fully managed data warehouse with a SQL interface, allowing for efficient storage and analysis of IoT data alongside other analytics. - **Option B** is incorrect due to the wrong order of services. - **Option C** is incorrect because Cloud Dataproc is not suited for analysis in this context; it's designed for running Apache Spark and Hadoop clusters. - **Option D** is incorrect as App Engine is not the right tool for ingesting IoT data.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
No comments yet.
Imagine you're tasked with managing streaming data from thousands of IoT devices. The goal is to ingest this data, process it through a pipeline, and then store it for analysis, enabling SQL queries. Which sequence of Google Cloud services would best accomplish this task?
A
Cloud Pub/Sub, Cloud Dataflow, BigQuery
B
Cloud Dataflow, Cloud Pub/Sub, BigQuery
C
Cloud Pub/Sub, Cloud Dataflow, Cloud Dataproc
D
App Engine, Cloud Dataflow, BigQuery