| 1 |
What is the primary challenge associated with traditional data processing techniques when dealing with big data. |
Lack of storage capacity
Limited availability of data visualization tools
Inability to handle diverse data types and large volumes
Slow processing speed
|
| 2 |
Which of the following best describes the concept of big data. |
Data that is stored in traditional databases
Data that is too small to be analyzed effectively
Data that is characterized by high volume, velocity and variety
Data that is only generted by social media platforms
|
| 3 |
Which big data technlogy is commonly used to store and preocess large datasets in a distributed manner? |
SQL databases
Relational databases
Hadoop
Data warehouses
|
| 4 |
What is the role of domain knowledge in data sciecne. |
writing code for data analysis
Visualizing data
Understanding the specific context of data
conducting staticial tests
|
| 5 |
Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis. |
Data ethics
Data modeling
Data exploration
Data collection
|
| 6 |
In the context of bign data what does the 3 Vs refer to? |
Varacity velocity, veracity
Variety, velocity, volume
Volume, value, velocity
Validity, variety, volume
|
| 7 |
How does data sciecne add value to bing data. |
By creating more data
By extracting insights and predictions from data
By making data storage more efficient
By ensuring data quality and consistency
|
| 8 |
Which is one of the key applicatins of big data in business. |
Artistic creativity
Weather foreacing
Customer behavior analysis
Social media management
|
| 9 |
Which of the following is not one of the characteristics of bign data. |
Veracity
Validity
Volume
Velocity
|
| 10 |
Which of the following is an example of interval scaled attribute. |
Age
Weight
Temperature in Celsius
Hight
|
| 11 |
Which type of data attibute represents categories with a specific order but inconsistent intervals between them? |
Nominal
Binary
Ordinal
Interval
|
| 12 |
What is the primary purpose of data visualization in data sciecne? |
Data Collection
Data modeling
Extracting insights
Data exploration
|
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