Garuda_Round-2_Quiz

1. Hypothesis Testing Hurdle

                                              

If our p-value is greater than 0.05, we can reject the null hypothesis and

conclude that there is a statistically significant difference between the groups.

• a) True

• b) False

2. We have customer data with no predefined labels.

What unsupervised learning technique could help us

identify customer segments with similar characteristics?

• a) Linear Regression

• b) K-Means Clustering

• c) Decision-Tree

• d) Logistic Regression

3. You are developing an AI chatbot for customer service.

A user asks a complex technical question, and the chatbot provides an incorrect answer. How would you improve the chatbot’s performance?

• a) Train the chatbot with more historical data

• 1. b) Implement a feedback loop for continuous learning

• 1. c) Rewrite the entire chatbot from scratch

• d) Ignore the issue and focus on other features

4. What is the purpose of OLAP tools (Online Analytical Processing) in a BI environment?

• 1. a) To collect raw data from various sources

• 1. b) To transform data into actionable insights

• 1. c) To create dashboards and reports

• 1. d) To analyze data from different dimensions and perspectives

5. What is the primary goal of cybersecurity?

• • a) Protecting sensitive Business data

• • b) Ensuring smooth network performance

• • c) Preventing unauthorized access and attacks

• • d) Enhancing user experience

6. Type 1 error occurs when?

• a) We reject H₀ if it is True

• b) We reject H₀ if it is False

• c) We accept H₀ if it is True

• d) We accept H₀ if it is False

7. An experimenter measured 30 children’s IQ. He then rank ordered the children and assigned them a score from 30 (most intelligent) to 1 (least intelligent) to create a new variable. This new variable consists of?

• a) Nominal Data 

• b) Ordinal Data 

• c) Interval Data

• d) Ratio Data

8. 8. Which Python Keyword makes a function produce new results and save the results for later use?

• a) def

• b) if

• c) return

• d) as

9. 9. Which of these collections defines a LIST?

• 9. a) {"name": "apple", "color": "green"}

• 9. b) ("apple", "banana", "cherry")

• c) ["apple", "banana", "cherry"] 

• 9. d) {"apple", "banana", "cherry"}

10. 10. A data professional working for a smartphone manufacturer is analyzing sample data on the weight of a specific smartphone the data follows a Normal Distribution, with a Mean weight of 150gm and a standard deviation of 10gm. According to the Empirical rule, what percentage of the data values lies between 140gm and 160gm (approx)?

• a) 95%

• b) 50%

• c) 68%

• d) 99.7%