An organization needs a platform to create custom end-to-end (Digital Leader)

Correct answer: D) Vertex AI.
Here's why:

A) Dataproc is a managed Apache Hadoop and Apache Spark service for batch processing, but it's not specifically designed for creating custom end-to-end AI models.

B) Compute Engine provides virtual machines (VMs) for running applications and workloads, but it doesn't offer specialized tools or services for building AI models.

C) Recommendations AI is a service specifically designed for building personalized product recommendation systems based on customer behavior data. While it's a valuable AI service, it's tailored for a specific use case and may not cover the broader scope of creating custom end-to-end AI models.

D) Vertex AI is a fully managed machine learning platform that provides tools and services for building, training, and deploying custom AI models at scale. It offers features such as AutoML for building custom machine learning models without extensive expertise, custom model training with TensorFlow or PyTorch, hyperparameter tuning, model versioning, and deployment to production environments. Vertex AI is designed to streamline the end-to-end machine learning workflow, making it an ideal choice for organizations seeking to create custom AI models.