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This section includes 14 Mcqs, each offering curated multiple-choice questions to sharpen your Data Science knowledge and support exam preparation. Choose a topic below to get started.
1. |
Standard normal RVs are always labelled as Z. |
A. | True |
B. | False |
Answer» C. | |
2. |
Which of the following is characteristic of Raw Data? |
A. | Data is ready for analysis |
B. | Original version of data |
C. | Easy to use for data analysis |
D. | None of the mentioned |
Answer» C. Easy to use for data analysis | |
3. |
Which of the following technique is also referred to as Bagging? |
A. | Bootstrap aggregating |
B. | Bootstrap subsetting |
C. | Bootstrap predicting |
D. | All of the mentioned |
Answer» B. Bootstrap subsetting | |
4. |
Data Products shown in the below figure is built using which programming language? |
A. | S |
B. | Python |
C. | R |
D. | Java |
Answer» D. Java | |
5. |
Which of the following technique comes under practical machine learning? |
A. | Bagging |
B. | Boosting |
C. | Forecasting |
D. | None of the mentioned |
Answer» C. Forecasting | |
6. |
Which of the following is not a step in data analysis? |
A. | Obtain the data |
B. | Clean the data |
C. | EDA |
D. | None of the mentioned |
Answer» D. None of the mentioned | |
7. |
How many principles of analytical graphs exist? |
A. | 3 |
B. | 4 |
C. | 6 |
D. | None of the mentioned |
Answer» D. None of the mentioned | |
8. |
Which of the following principle is incorrectly represented in the below figure? |
A. | Show Comparisons |
B. | Integrate Evidence |
C. | Describe Evidence |
D. | None of the mentioned |
Answer» E. | |
9. |
WHICH_OF_THE_FOLLOWING_IS_CHARACTERISTIC_OF_RAW_DATA_??$ |
A. | Data is ready for analysis |
B. | Original version of data |
C. | Easy to use for data analysis |
D. | None of the Mentioned |
Answer» C. Easy to use for data analysis | |
10. |
Standard_normal_RVs_are_always_labelled_as_Z.$ |
A. | True |
B. | False |
Answer» C. | |
11. |
Which of the following technique is also referred to as Bagging ? |
A. | Bootstrap aggregating |
B. | Bootstrap subsetting |
C. | Bootstrap predicting |
D. | All of the Mentioned |
Answer» B. Bootstrap subsetting | |
12. |
Which of the following technique comes under practical machine learning ? |
A. | Bagging |
B. | Boosting |
C. | Forecasting |
D. | None of the Mentioned |
Answer» C. Forecasting | |
13. |
Which of the following is not a step in data analysis ? |
A. | Obtain the data |
B. | Clean the data |
C. | EDA |
D. | None of the Mentioned |
Answer» E. | |
14. |
How many principles of analytical graphs exist ? |
A. | 3 |
B. | 4 |
C. | 6 |
D. | None of the Mentioned |
Answer» D. None of the Mentioned | |