PCED-30-02 Exam Dumps (V8.02) with Structured Exam Questions: PCED-30-02 Free Dumps (Part 1, Q1-Q40) Online

1. What statement is used to exit a loop prematurely in Python?

2. Which type of correlation coefficient indicates a strong positive linear relationship between two variables?

3. Which of the following is a typical challenge faced during data acquisition?

4. Which of the following is an advantage of using seaborn for data visualization in Python?

5. What does the 'range()' function in Python do?

6. Which of the following Python libraries is commonly used for data pre-processing tasks such as cleaning and transforming data?

7. What is the significance of data profiling in data pre-processing?

8. Which of the following techniques can be used in data pre-processing for feature selection?

9. Which of the following is NOT a valid data type in Python?

10. What does the "len()" function in Python do?

11. What is the purpose of regression analysis in statistical analysis?

12. When dealing with missing data in a dataset, what is a common approach for handling it?

13. What is the result of the following Python code? ```python a = 10 b = 5 result = a % b print(result) ```

14. What is the purpose of data analysis in the context of data modeling?

15. In data pre-processing, what is the purpose of data cleaning?

16. Which of the following libraries in Python is commonly used for creating interactive visualizations?

17. Which of the following is NOT a commonly used tool for data acquisition and pre-processing?

18. What does skewness measure in a data distribution?

19. Which statistical test is appropriate for comparing means between two independent groups?

20. What does the 'split()' method do when called on a string in Python?

21. What type of plot would be most suitable for comparing the distribution of a numerical variable across different categories?

22. In data visualization, what does the term "data storytelling" refer to?

23. Which of the following is NOT a commonly used data acquisition method?

24. What is the correct way to comment a single line of code in Python?

25. What is the purpose of data acquisition in data analytics?

26. Which of the following is not a valid variable name in Python?

27. Which of the following libraries in Python is commonly used for data visualization?

28. What is the purpose of data integration in the data acquisition process?

29. What is the process of evaluating a model's performance using data that the model has not seen during training known as?

30. When is the mode the most appropriate measure of central tendency to use?

31. In statistical analysis, what does the term "p-value" represent?

32. What does the following Python code snippet do? ```python numbers = [1, 2, 3, 4, 5] squared = [x**2 for x in numbers] print(squared) ```

33. Which of the following metrics is commonly used to evaluate classification models in data analytics?

34. What is the process of combining data from multiple sources into a single, coherent view called?

35. What is the purpose of data pre-processing in a data analytics workflow?

36. Which of the following techniques can be used for outlier detection in data pre-processing?

37. Which of the following is NOT a common method for data acquisition?

38. In Python, how would you access the value '42' in a dictionary that has the key 'answer'?

39. Which of the following is a key advantage of using dashboards in data visualization?

40. Which technique is commonly used in machine learning for splitting a dataset into training and testing sets?