Free ADA Data Analytics Techniques & Tools Questions and Answers

Question 1

What is the purpose of data cleaning in data analytics?

Accepted Answer

To remove errors and inconsistencies to ensure accurate analysis

Answer

To increase the volume of data.

Answer

To store the data for future use.

Answer

To eliminate the need for data analysis.

Question 2

What is the role of statistical analysis in data analytics?

Accepted Answer

To identify patterns, correlations, and trends in the data

Answer

To make decisions without analyzing the data.

Answer

To create random reports.

Answer

To reduce the amount of data available.

Question 3

What is data visualization used for in data analytics?

Accepted Answer

To represent data visually for easier interpretation and communication

Answer

To obscure the meaning of the data.

Answer

To reduce the amount of data.

Answer

To eliminate data analysis.

Question 4

What is machine learning in the context of data analytics?

Accepted Answer

Algorithms that improve with experience to make predictions and identify patterns

Answer

A method of making decisions without data.

Answer

A tool to manually analyze data.

Answer

A process for visualizing data in reports.

Question 5

What is regression analysis used for in data analytics?

Accepted Answer

To identify relationships between variables and make predictions

Answer

To summarize the data without making predictions.

Answer

To eliminate data outliers.

Answer

To automate data entry.

Question 6

What is data mining in the context of data analytics?

Accepted Answer

To discover patterns and relationships in large datasets

Answer

To visualize the data in a report.

Answer

To clean the data for analysis.

Answer

To reduce the size of the data.

Question 7

Why is big data important in data analytics?

Accepted Answer

To analyze large and complex datasets to uncover valuable insights

Answer

To make decisions based on small datasets.

Answer

To limit the amount of data for analysis.

Answer

To obscure data for reporting purposes.

Question 8

What is predictive analytics in data analytics?

Accepted Answer

To forecast future trends using past data and statistical algorithms

Answer

To predict future events without analyzing past data.

Answer

To increase uncertainty in data.

Answer

To avoid future data collection.

Question 9

What role does data integrity play in data analytics?

Accepted Answer

To ensure that the data is accurate, reliable, and consistent

Answer

To ensure the data is corrupted for testing purposes.

Answer

To minimize the use of data in decision-making.

Answer

To maximize the amount of data analyzed.