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Answer: Platform AI - Vertex AI, Cloud AutoML and Cloud Functions
Vertex AI (D) is the optimal choice for a fully managed, serverless solution that simplifies the ML pipeline by handling infrastructure, operations, and model management, including training, deployment, and data transformation. It integrates seamlessly with Dataflow for data streaming and offers automated model retraining and Docker image management. Cloud AutoML and Cloud Functions (E) complement Vertex AI by providing additional serverless capabilities for model training and execution, further reducing the need for manual intervention and infrastructure management. Together, these services offer a scalable, cost-effective solution that aligns with the company's goals of operational simplicity and efficiency.
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Your company specializes in environmental management services, leveraging a vast network of sensors that continuously collect environmental data. This data is uploaded to the Cloud for preprocessing and analysis through machine learning models, with insights displayed on dynamic dashboards for your customers. The current infrastructure involves a complex pipeline on VM clusters for the retraining and redeployment of models, including data streaming via Dataflow, data transformation through aggregations and normalizations (e.g., z-scores), periodic model retraining and evaluation, and the creation and storage of new Docker images. To enhance efficiency and reduce operational complexity, your team aims to transition to fully managed or serverless services wherever feasible. Considering the need for scalability, cost-effectiveness, and minimal maintenance, which of the following services would best meet this objective? (Choose two correct options if option E is available)
A
Kubeflow
B
BigQuery and BigQuery ML
C
TFX
D
Platform AI - Vertex AI
E
Cloud AutoML and Cloud Functions