Question 11 If you are given the following array x= [0, 1, 2, 3] Running the following syntax np.add(x, 2) will result into what? (A) array([6, 7, 8, 9]) B) array([2, 3, 4, 5]) (C) array([1, 2, 3, 4]) D array([0, 1, 2, 3]) Question 12 Identify which among the statements below are correct. A Time series usually exhibits random patterns or trends. B Seasonality are random fluctuations in the time series. Time series analysis does not forecast (C) or predict future values from historical data. Time series analysis is performed to (D) predict future instances of the measure. based on the past observational data. Question 13 What is the syntax in Python to use the regular expression (regex) package? RegEx Question 14 When the following code is run, import numpy as np x= np.arange(4) print("x", x) What is the result? A) [0011] B) [0246] C) [5678] D [0123]
Question 11 If you are given the following array x= [0, 1, 2, 3] Running the following syntax np.add(x, 2) will result into what? (A) array([6, 7, 8, 9]) B) array([2, 3, 4, 5]) (C) array([1, 2, 3, 4]) D array([0, 1, 2, 3]) Question 12 Identify which among the statements below are correct. A Time series usually exhibits random patterns or trends. B Seasonality are random fluctuations in the time series. Time series analysis does not forecast (C) or predict future values from historical data. Time series analysis is performed to (D) predict future instances of the measure. based on the past observational data. Question 13 What is the syntax in Python to use the regular expression (regex) package? RegEx Question 14 When the following code is run, import numpy as np x= np.arange(4) print("x", x) What is the result? A) [0011] B) [0246] C) [5678] D [0123]
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Please answer question 11-14, thank you l, this is for my reviewer only
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