Choose the Latest Python Institute PCED-30-01 Dumps (V8.02) to Practice – Check the PCED-30-01 Free Dumps (Part 1, Q1-Q40) Online

1. In the context of data acquisition, what does ETL stand for?

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

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

4. Which of the following techniques can be used in data pre-processing to handle missing values?

5. What is outlier detection in the context of data pre-processing?

6. Which of the following is NOT an example of data cleaning in the pre-processing stage?

7. Why is data normalization important in data pre-processing?

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

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

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

11. Which of the following is used to perform integer division in Python?

12. What is the output of the following code snippet? ```python x = 5 y = 2 print(x ** y) ```

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

14. What does the "range()" function in Python do?

15. What is the main purpose of statistical analysis in data analytics?

16. Which measure of central tendency is affected by outliers?

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

18. What does skewness measure in a data distribution?

19. Which statistical test is used to determine if there is a significant difference between the means of two independent groups?

20. What is the p-value in hypothesis testing?

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

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

23. What is the purpose of data analysis in the context of a Python programming for data analytics?

24. Which of the following Python libraries is commonly used for data analysis and modeling?

25. What is the goal of data modeling in the field of data analytics?

26. In data analytics, what does the term "feature engineering" refer to?

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

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

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

30. What is the process of fine-tuning a machine learning model to improve its performance known as?

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

32. What type of plot would be most suitable for showing the distribution of a single numerical variable?

33. Which function in pandas is used to create a line plot from a DataFrame?

34. In a line plot, what do the points connected by a line represent?

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

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

37. Which of the following is an advantage of using interactive plots for data visualization?

38. What type of plot is commonly used to visualize the relationship between two numerical variables?

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

40. Which of the following is NOT a commonly used method for data pre-processing?