Question 1

When creating a dashboard using Tableau, which option allows you to integrate real-time Python code execution into your dashboard?

Options :

A : Tableau Server Scripts

B : Tableau Webhooks

C : Tableau Extensions

D : Tableau Public

E : TabPy (Tableau Python Server)

Answer: E

Question 2

In Python, which of the following methods is not a common statistical approach to identify outliers within a dataset?

Options :

A : Interquartile Range (IQR)

B : Z-score

C : Tukey-s Fences

D : Mean Squared Error (MSE)

Answer: D

Question 3

You are working on a machine learning project where you need to build a model for image classification. The project also requires heavy numerical computations and data preprocessing. Which of the following Python libraries would be most suitable to complete your project successfully?

Options :

A : Seaborn, Statsmodels, OpenCV

B : Pandas, Matplotlib, Keras

C : Scikit-learn, Matplotlib, BeautifulSoup

D : NumPy, Scikit-image, TensorFlow

Answer: D

Question 4

You have a dataset with several missing values. Which technique is generally NOT advisable for dealing with missing values in a dataset intended for machine learning modeling?

Options :

A : Removing rows with missing values

B : Using a machine learning algorithm that can handle missing values

C : Filling all missing values with zeros

D : Imputing missing values using mean or median

Answer: C

Question 5

Which of the following Python Pandas methods is most suitable for removing duplicate rows from a DataFrame?

Options :

A : df.dropna()

B : df.duplicated()

C : df.fillna()

D : df.drop_duplicates()

Answer: D

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