| 1 |
What is the primary challenge associated with traditional data processing techniques when dealing with big data. |
- A. Lack of storage capacity
- B. Limited availability of data visualization tools
- C. Inability to handle diverse data types and large volumes
- D. Slow processing speed
|
| 2 |
How can you organize data to make it easier to analyse. |
- A. By keeping it in a messy notebook
- B. By creating tables, charts, and graphs
- C. By writing it in long paragraphs
- D. By storing it in random files
|
| 3 |
Which is one of the key applicatins of big data in business. |
- A. Artistic creativity
- B. Weather foreacing
- C. Customer behavior analysis
- D. Social media management
|
| 4 |
Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis. |
- A. Data ethics
- B. Data modeling
- C. Data exploration
- D. Data collection
|
| 5 |
Whcih tool is specifically designed for creatin detailed nd interactive visualizations? |
- A. Tableau
- B. Power point
- C. Google Sheets
- D. Microsoft Excel
|
| 6 |
Which programming language is commonly used for bign data analytics and machine learning tasks. |
- A. Java
- B. C++
- C. Phyton
- D. Ruby
|
| 7 |
Which of the following is not one of the characteristics of bign data. |
- A. Veracity
- B. Validity
- C. Volume
- D. Velocity
|
| 8 |
------------refer to the process of carefully examining and studing data to identify patterns, draw conculsios, or make the data meaningful |
- A. Data analytics
- B. Daa predictions
- C. Data set
- D. Data base
|
| 9 |
Which of the following is an example of interval scaled attribute. |
- A. Age
- B. Weight
- C. Temperature in Celsius
- D. Hight
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| 10 |
------------ is limitation of big data. |
- A. Statistical data
- B. Unlimited growth of data
- C. Data visualiztion
- D. Predictive maintence
|
