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Google Associate Cloud Engineer

Google Associate Cloud Engineer

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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?

Real Exam

Explanation:

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.
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