Data Analysis and Management Quiz

What is velocity?

• The speed of light

• The rate at which data is transmitted

• The process of data analysis

• The method of data visualization

Why is Data Maintenance necessary?

• To increase data speed

• To prevent data loss

• To avoid nuisance and liability for the company

• To enhance data visualization

What are some good and bad characteristics of data?

• Speed and accuracy

• Reliability and inconsistency

• Clarity and complexity

• Simplicity and redundancy

What are the consequences of asking the wrong questions?

• Finding the right problem

• Not finding the right problem

• Faster data processing

• Improved data accuracy

How are reports structured for descriptive analyses?

• Introduction, methods, results

• Executive summary, context, methodology, results

• Data collection, data analysis, conclusion

• Problem statement, hypothesis, testing

What is the 7-step data analysis process?

• Collect data, analyze data, interpret data, document data

• Create hypothesis, collect data, cleanse data, model data, analyze data, interpret data, document data

• Define problem, gather data, analyze data, interpret data, report findings

• Identify variables, collect data, analyze data, draw conclusions

What are the 3 main components of data management?

• Data collection, data storage, data analysis

• Data Architecture, Data Analysis, Data Security

• Data visualization, data processing, data reporting

• Data mining, data cleaning, data integration

What is the difference between Primary and Secondary data?

• Primary data is less reliable than secondary data

• Primary data comes from a connection from the main source

• Primary data is directly from the source and reliable; secondary data is from a connection and good for backup

• Secondary data is more accurate than primary data

What are the three disadvantages of using a cloud-native database?

• Outages, relies on internet, regulations

• High cost, complexity, security risks

• Limited storage, slow access, data loss

• Data redundancy, lack of control, limited scalability

What's the purpose of cloud-native data?

• To increase data speed

• To have a second place to store data accessible to a larger audience

• To enhance data visualization

• To improve data security