Google Cloud Professional Data Engineer Exam

Which product would be suitable for orchestrating a data pipeline that includes monitoring a Cloud Storage bucket and starting a Dataflow job?

1. Cloud Scheduler

2. Cloud Composer

3. Cloud Tasks

4. Cloud Run

The correct answer is: Cloud Composer

The most suitable product for orchestrating a data pipeline that includes monitoring a Cloud Storage bucket and starting a Dataflow job is Cloud Composer. Cloud Composer is based on Apache Airflow and is designed specifically for workflow orchestration in data engineering. It allows you to create complex workflows that can manage dependencies, schedule tasks, and execute them in the required order. In the context of your question, Cloud Composer can be set up to monitor events in a Cloud Storage bucket (like file uploads) and trigger a Dataflow job accordingly. It facilitates the building of directed acyclic graphs (DAGs) which define the sequence of operations to be executed. This capability to integrate various Google Cloud services and manage their interactions makes Cloud Composer an optimal choice for orchestrating data pipelines. The other options, while useful for specific tasks, do not provide the same level of orchestration for a data pipeline. Cloud Scheduler is a fully managed cron job service that is great for executing scheduled tasks but doesn’t handle orchestration or complex workflows. Cloud Tasks is primarily used for managing asynchronous task execution and does not have the orchestration and monitoring capabilities necessary for dynamic workflows. Cloud Run is responsible for running containerized applications and while it can be part of a data pipeline, it does not