Google Professional Machine Learning Engineer Question 396
Select 3Google Cloud PlatformYou are a machine learning engineer tasked with orchestrating a pipeline that preprocesses data, trains a model, and evaluates the results. The pipeline involves multiple steps that need to be executed in a specific order on a recurring schedule. You decide to use Google Cloud Composer to manage this workflow. Which of the following are key reasons why Composer is a suitable choice for this task?
- A
It provides a managed Apache Airflow environment for scheduling and orchestrating workflows.
- B
It can automatically train machine learning models without needing additional configuration.
- C
It integrates seamlessly with other Google Cloud services like BigQuery, Cloud Storage, and AI Platform.
- D
It offers a built-in graphical interface to monitor and manage pipeline execution.
- E
It is specifically designed for deep learning model training on GPUs.
Show answer and explanation
Correct answers: A, C, D
Explanation
Google Cloud Composer is a managed service for Apache Airflow, a tool designed to orchestrate workflows through directed acyclic graphs (DAGs). It is particularly useful for machine learning pipelines as it allows for the integration of various Google Cloud services, scheduling of tasks, and monitoring of pipeline execution in an intuitive way. While it does not directly perform machine learning tasks or deep learning-specific operations, it efficiently orchestrates the sequence of steps required in the pipeline.
- A. Correct.
Correct: Composer is built on Apache Airflow and provides a fully managed environment for scheduling and orchestrating complex workflows.
- B. Incorrect.
Incorrect: While Composer can manage workflows that include machine learning tasks, it does not automatically train models. This requires custom code or integration with other services.
- C. Correct.
Correct: Composer integrates well with other Google Cloud services, making it easy to include tasks like querying BigQuery or storing data in Cloud Storage as part of the pipeline.
- D. Correct.
Correct: Composer provides a graphical interface for monitoring and managing workflow execution, which is essential for debugging and operational efficiency.
- E. Incorrect.
Incorrect: Composer is not specifically designed for deep learning or GPU-based tasks. It is a workflow orchestration tool and does not directly handle compute-intensive tasks like model training.