Explore topic-wise MCQs in Data Science.

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