PySpark and AWS: Master Big Data with PySpark and AWS - ETL Pipeline Flow

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Information Technology (IT), Architecture
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of creating a simple ETL flow in the tutorial?
To provide a comprehensive guide to AWS
To demonstrate advanced ETL techniques
To showcase the latest technology trends
To help beginners understand the basic concepts
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which file format is used as the source in the ETL pipeline?
Parquet
CSV
XML
JSON
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What tool is used for data transformation in the pipeline?
Apache Spark
AWS Lambda
Apache Hadoop
PySpark
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where is the transformed data loaded in the ETL process?
Google BigQuery
AWS S3
Azure SQL Database
Postgres database on AWS RDS
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why does the instructor recommend becoming familiar with AWS?
AWS is the only cloud provider available
AWS offers the cheapest services
AWS and PySpark are a powerful combination in demand
AWS has the best user interface
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