DE Week 1 Quiz

DE Week 1 Quiz

18 Qs

quiz-placeholder

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DE Week 1 Quiz

DE Week 1 Quiz

Assessment

Quiz

others

Hard

Created by

Gbenga Banso

FREE Resource

18 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

30 sec • 5 pts

Which V of big data refers to the sheer weight of data generated and collected?
Velocity
Variety
Volume
Veracity
Value

2.

MULTIPLE SELECT QUESTION

30 sec • 10 pts

Select two examples of high-velocity data sources
Social media feeds
Data warehouses
Static files
Sensor data
Data lakes

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

In the context of big data, what does the term "variety" refer to?
The size of the data
The complexity of the data
The speed at which the data is generated
The veracity of the data
The value derived from the data

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

True or False: Veracity in big data refers to the accuracy and reliability of the data
True
False

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What is the main difference between ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data integration approaches?
The order in which data is processed
The tools used for data integration
The type of data that can be processed
The speed of data processing
There is no difference

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Which approach, ETL or ELT, is better suited for handling unstructured or semi-structured data? Why?
ELT, because it enables direct analysis on raw data
ETL, because it allows for greater flexibility in data processing
ETL, because it ensures faster data loading
ELT, because it facilitates better data transformation
Both approaches are equally suited

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Name three benefits of using cloud computing for data storage and processing.
Cost savings, scalability, and data security
Faster data processing, high availability, and reduced maintenance
Enhanced collaboration, improved data governance, and data integration
Increased data privacy, advanced analytics capabilities, and disaster recovery
Centralized data management, real-time data access, and data replication

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