Google Cloud Digital LeaderDigital transformation with Google CloudEasy
A global pharmaceutical company is embarking on a digital transformation journey. They want to leverage data analytics and artificial intelligence to accelerate drug discovery, optimize clinical trials, and improve patient outcomes. Which Google Cloud solution would be most instrumental in providing a unified, serverless platform for building, deploying, and scaling machine learning models throughout their research and development pipeline?
- ACloud Storage
- BVertex AI
- CCloud Functions
- DCloud SQL
Show answer & explanationAnswer & explanation
Correct answer: B. Vertex AI
Vertex AI is Google Cloud's unified machine learning platform, specifically designed to help organizations build, deploy, and scale ML models. This directly aligns with the company's goal of accelerating drug discovery and optimizing clinical trials with AI.
Why the other options are wrong
- A. Cloud Storage is an object storage service, primarily used for data storage, not for ML model development and deployment.
- C. Cloud Functions is a serverless execution environment for single-purpose functions, not a holistic platform for managing complex ML workflows.
- D. Cloud SQL is a managed relational database service, not a platform for building and deploying machine learning models.
Vertex AI
A unified platform for building, deploying, and scaling machine learning models on Google Cloud.
- Covers the entire ML lifecycle (data prep, training, deployment, monitoring).
- Serverless and scalable.
- Supports various ML frameworks and custom models.
Memory trick: Vertex AI helps you reach the peak of your ML journey.