Warm Colors:
- <em>Red</em> flowers
- Oranges
Cool Colors:
- <em>Blue </em>skies
- <em>Purple</em> butterflies
Neutral Colors:
- <em>Brown</em> wood
- <em>White</em> birds
Reds, oranges, and yellows are considered warm, and greens, teals, blues, and purples are considered cool. Colors such as white, black, brown, or gray are all neutral.
Answer:
what is the other language
is it Assamese clarify me in the comment section bro
Answer:
c. Attribute constraints
Explanation:
A data catalog identifies all of the following, except: "Attribute constraints"
The above statement is TRUE because a Data Catalog, a metadata management service, operates by searching for key data, understand and manage data for usefulness.
Data Catalog checks on the BigQuery datasets, tables, and views and checks both technical and business metadata by identifying the following attributes:
1. Data type
2. Range of values
3. Value for Instructor ID
Answer:
The purpose of the backup is to create a copy of data that can be recovered in the event of a primary data failure. Primary data failures can be the result of hardware or software failure, data corruption, or a human-caused event, such as a malicious attack (virus or malware), or accidental deletion of data.
Answer:
The following code is in python.
import statistics as st #importing statistics which include mean function.
def average(lst): #function average.
return st.mean(lst)#returning mean.
lst=a = list(map(int,input("\nEnter the list : ").strip().split()))#taking input of the list..
print("The average is "+str(average(lst)))#printing the average.
Output:-
Enter the list :
1 2 3 4 5 6
The average is 3.5
Explanation:
I have used the statistics library which includes the mean function that calculates the mean or average of the list.In the function average having lst as an argument returns the mean of the list lst.
Then taking lst input from the user and printing it's average.
