Free Data Science with Python Practice Test

This Python data science questions can be taken multiple times, so you can map and test your progress while you study for the real deal. With this data science test, you can understand the concepts covered in the certification exam. Take it today!

  • 50 Questions,
  • 60 Minutes
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Data Science with Python

Become an expert in data analytics, machine learning, and web scraping using Python programming. Gain an in-depth understanding of the v ...

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1. This is a FREE test and can be attempted multiple times. But it is recommended to take the test when you are ready for best practice experience.

2. Test Duration: 60 Minutes

3. Number of questions: 50 Multiple Choice Questions

4. Each question has multiple options out of which one or more may be correct

5. You can pause the test in between and you are allowed to re-take the test later. Your test will resume from where you left, but the test time will be reduced by the amount of time you've taken in the previous attempt.

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1. The {_____} function returns its argument with a modified shape, whereas the _____ method modifies the array itself.
2. Which of the following functions helps create a new array object that looks at the same data?
3. Which of the following statements limits both x and y axes to the interval [0, 6]?
4. In NumPy, what does the shape (2,3,2) indicate?
5. What type of chart should we use if we have estimated a set of data and want to plot the uncertainty of the estimation?
6. In statistics, a Type II error occurs when:
7. In BeautifulSoup, .parent is used to:
8. In Beautiful Soup, which of the following is used to create a new tag?
9. In BeautifulSoup, what are the options to search a web tree?
10. We need to define an index in Pandas.
11. In Pandas series, data can be accessed through different functions such as:
12. What will be the result in vector addition if labels are not found in a series?
13. Which function will you use from the NumPy library to convert the angles from degrees to radians?
14. Which of the following structures is used for three-dimensional data analysis in Pandas?
15. How can you view the first 10 records in a Pandas DataFrame?
16. What does the following code do? import pandas as pd df = pd.read_csv('log-access_file.csv')
17. Who is a data scientist?
18. In NLP, stemming is a technique to:
19. Predict the correct output of the following code: >>>a=np.arange(6) >>>print(a)
20. In Machine learning, predictive modeling works on:
21. If a database is imported, and there is no index for its values and dates, how do you create one?
22. A client reading data from the HDFS file system in Hadoop _____.
23. Hadoop is written in:
24. In Spark, RDDs can be created from the datasets stored externally
25. MapReduce was devised by_____.
26. In BeautifulSoup,how can you remove all modified tags?
27. In BeautifulSoup , how can you view tag attributes?
28. Who developed the BeautifulSoup library?
29. Which of the following parsers has an external C dependency?
30. Which of these classes can be used to parse a part of a document?
31. Which of the following operations is performed by Search Engines?
32. How can you edit the Navigable String?
33. Which of the following parsers cannot be used for parsing a part of a document?
34. Which of the following is a very slow parser?
35. What will be the output of the following code line? feature_extraction.text.CountVectorizer([...])
36. How will you save a plot as a PNG image in matplotlib?
37. Which of the following methods is used to create a model in Scikit-learn?
38. In the Kmeans clustering technique, which method sets the number of clusters?
39. Which of the following is an important component of the text processing pipeline?
40. What is the operation conducted by the following code line? >>>for link in soup.find_all('a'):print(link.get('href'))
41. Which of the following is useful to save a model?
42. Which of the following code lines has a valid syntax? >>>soup = BeautifulSoup(open("index.html")) >>>soup = BeautifulSoup("<html>data</html>")
43. Which of the following code snippets is used to print all the tag children?
44. To find out unique target classes in the dataset, which of the following code snippet is useful?
45. What is the built-in database used for Python?
46. Is the following slicing technique right? >>tuple[-4]
47. Which library is used to check the accuracy of a predictive model in sklearn?
48. How can you view only keys in a basic data structure dictionary?
49. Which of the following is a useful technique to reduce the number of dimensions from 5 to 3?
50. in method returns a boolean value.
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