Data Science Model Deployments and Cloud Computing on GCP - Course Prerequisites

Data Science Model Deployments and Cloud Computing on GCP - Course Prerequisites

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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This lecture outlines the prerequisites and tools needed for the course. It requires a basic technical background, including setting up an AGCP account and familiarity with Python and SQL. The course focuses on cloud concepts using practical applications, primarily through the gcloud command line and Python. While not requiring expertise, students should be comfortable with command line operations. The course uses Visual Studio and is demonstrated on a Mac, but can be followed on Windows or Linux.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a prerequisite for successfully completing the course?

Experience with Linux

Expertise in SQL

Basic technical background

Advanced knowledge of Python

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Who might find this course challenging?

Advanced programmers

Absolute beginners

Intermediate learners

Cloud experts

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What programming languages should you be familiar with for this course?

Java and C++

Python and SQL

Ruby and JavaScript

HTML and CSS

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which tool is used for deployments in this course?

AWS CLI

Azure Portal

gcloud command line interface

Docker

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which operating system is used in the course, and what is recommended for students?

Windows, and students should use Windows

Mac, but students can use Windows or Linux

Linux, and students should use Linux

Mac, and students should use Mac