Option A is incorrect because Vertex AI Pipelines and App Engine do not meet all the requirements of

the system. Vertex AI Pipelines is a service that allows you to create, run, and manage ML workflows

using TensorFlow Extended (TFX) components or custom components1. App Engine is a service that

allows you to build and deploy scalable web applications using standard or flexible

environments2. However, App Engine does not support Docker containers in the standard

environment, and does not provide a dedicated service for online prediction and monitoring of ML

models3.

Option B is correct because Vertex AI Pipelines, Vertex AI Prediction, and Vertex AI Model Monitoring

meet all the requirements of the system. Vertex AI Prediction is a service that allows you to deploy

and serve ML models for online or batch prediction, with support for autoscaling and custom

containers4. Vertex AI Model Monitoring is a service that allows you to monitor the performance and

fairness of your deployed models, and get alerts for any issues or anomalies5.

Option C is incorrect because Cloud Composer, BigQuery ML, and Vertex AI Prediction do not meet

all the requirements of the system. Cloud Composer is a service that allows you to create, schedule,

and manage workflows using Apache Airflow. BigQuery ML is a service that allows you to create and

use ML models within BigQuery using SQL queries. However, BigQuery ML does not support custom

containers, and Vertex AI Prediction does not support scheduled model retraining or model

monitoring.

Option D is incorrect because Cloud Composer, Vertex AI Training with custom containers, and App

Engine do not meet all the requirements of the system. Vertex AI Training is a service that allows you

to train ML models using built-in algorithms or custom containers. However, Vertex AI Training does

not support online prediction or model monitoring, and App Engine does not support Docker

containers in the standard environment or online prediction and monitoring of ML models3.

Reference:

Vertex AI Pipelines overview

App Engine overview

Choosing an App Engine environment

Vertex AI Prediction overview

Vertex AI Model Monitoring overview

[Cloud Composer overview]

[BigQuery ML overview]

[BigQuery ML limitations]

[Vertex AI Training overview]