Data Science Model Deployments and Cloud Computing on GCP - Lab - Final Solution Deployment Using Workflow and App Engin

The video tutorial covers the process of setting up and training a fraud detection model using Python 3.7 in a flexible environment. It explains the configuration of app.yaml, the use of pandas-GBQ for data handling, and the validation of input data from BigQuery. The tutorial details the model training process using a random forest classifier and the generation of a classification report. It also demonstrates deploying the model using gcloud and testing it with a Python script. Finally, it shows how to execute a workflow to validate data and train the model, with results stored in Google Cloud Storage.

What is the runtime environment specified in the app.yaml file?

• Java 8

• Node.js 12

• Python 3.7

• Python 2.7

Which library is used for integrating pandas with BigQuery?

• pandas

• pandas-GBQ

• pandas-SQL

• pandas-DB

What type of HTTP request does the application accept?

• DELETE

• PUT

• POST

• GET

Why is a UNION ALL operation used in the SQL query?

• To sort the data

• To balance the dataset by including both classes

• To combine data from multiple databases

• To filter out null values

Which algorithm is used for model training?

• Random Forest Classifier

• K-Nearest Neighbors

• Linear Regression

• Support Vector Machine

What is stored in Google Cloud Storage after model training?

• Raw data

• SQL queries

• Serialized model

• Log files

What command is used to deploy the application?

• gcloud app start

• gcloud app launch

• gcloud app deploy

• gcloud app run

How can you monitor the logs of the application?

• Using gcloud app logs view

• Using gcloud app logs tail

• Using gcloud app logs monitor

• Using gcloud app logs check

What is the purpose of the workflow.yaml file?

• To configure the database connections

• To define the model architecture

• To specify the data preprocessing steps

• To manage the deployment and execution of workflows

What indicates a successful execution of the workflow?

• State succeeded

• Error message

• Status code 404

• Warning message