Azure Data Factory for Beginners - Build Data Ingestion - Introduction to Metadata-Driven Ingestion

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Information Technology (IT), Architecture, Social Studies
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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 was the main focus of the previous lesson discussed in the first section?
Developing a pipeline for multiple files
Implementing a metadata database
Creating a single pipeline for one source file
Building a data lake from scratch
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it inefficient to create multiple pipelines for ingesting multiple files?
It requires more storage space
It increases the complexity of data analysis
It slows down the ingestion process
It leads to maintenance challenges
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the proposed solution for handling multiple datasets with a single pipeline?
Outsourcing the data ingestion process
Increasing the number of data engineers
Developing separate pipelines for each dataset
Using a metadata-driven framework
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does metadata contribute to the data ingestion process?
It provides additional storage for data
It offers detailed information about other data
It speeds up the data transfer rate
It reduces the need for data validation
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the orchestration pipeline in the metadata-driven framework?
To store all the ingested data
To visualize the data ingestion process
To retrieve ingestion information from the metadata database
To manage user access to the data lake
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