Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Python Pandas with Snowflake on AWS Glue

Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Python Pandas with Snowflake on AWS Glue

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the integration of Pandas with AWS Glue, highlighting its importance for data scientists using libraries like scikit-learn. It explains how to run Pandas locally, including installation and basic commands, and demonstrates deploying a Pandas script in AWS Glue. The tutorial concludes with a preview of using Apache Spark for big data processing in AWS Glue.

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary use of Pandas in data science?

Machine learning model training

Data preprocessing and transformations

Web development

Data visualization

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which Python library version is mentioned as being available in AWS Glue?

Keras 2.4.3

TensorFlow 2.3.0

NumPy 1.18.5

Pandas 1.0.1

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command is used to install Pandas in a local system?

pip install pandas

brew install pandas

conda install pandas

apt-get install pandas

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What function in Pandas is used to execute SQL commands?

sql_query

execute_sql

read_sql

read_csv

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the first step in deploying a Pandas script in AWS Glue?

Configure IAM roles

Install AWS SDK

Copy and paste the script

Create a new Glue job