Explore topic-wise MCQs in Technical MCQs.

This section includes 10 Mcqs, each offering curated multiple-choice questions to sharpen your Technical MCQs knowledge and support exam preparation. Choose a topic below to get started.

1.

Noise is the error in the observations added due to environmental factors.

A. Yes
B. No
C. Can be yes or no
D. Can not say
E.
Answer» B. No
Discussion
2.

Mean Absolute Error is the average of absolute difference between?

A. normal values and true values
B. predicted values and imaginary values
C. predicted values and true values
D. imaginary values and true values
Answer» D. imaginary values and true values
Discussion
3.

Which of the following is the square root of the mean square error?

A. AMSQ
B. RMSE
C. AMSE
D. RMES
Answer» C. AMSE
Discussion
4.

Facebook open sourced the prophet model which was capable of modelling the time series with strong multiple seasonalities at?

A. day level
B. week level
C. year level
D. All of the above
Answer» E.
Discussion
5.

____________ is a technique for smoothing univariate time-series by assigning exponentially decreasing weights to data over a time period.

A. Walk Forward Validation
B. Prophet Model
C. LSTM Model
D. Exponential Smoothing
Answer» E.
Discussion
6.

Level is the mean value around which the series varies.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say
Answer» B. FALSE
Discussion
7.

LSTM stands for?

A. Long Short-Term Model
B. Long Short-Term Memory model
C. Long Short Memory model
D. LS Memory model
Answer» C. Long Short Memory model
Discussion
8.

Which of the following is the cyclic behavior of time series?

A. Level
B. Trend
C. Seasonality
D. Noise
Answer» D. Noise
Discussion
9.

A time series has ______ components.

A. 1
B. 2
C. 3
D. 4
Answer» E.
Discussion
10.

A ___________ is a sequence of observations over a certain period.

A. Theano
B. Scikit
C. Time series
D. Tensor
Answer» D. Tensor
Discussion