Answer:
// program in Python.
#read year
i_year=int(input("Please Enter a year:"))
#check leap year
if((i_year % 4 == 0 and i_year % 100 != 0) or (i_year % 400 == 0)):
print("{} is a leap year.".format(i_year))
else:
print("{} is not a leap year.".format(i_year))
Explanation:
Read year from user and assign it to variable "year".If year is completely divisible by 4 and not divisible by 100 or year is completely divisible by 400 then year is leap year otherwise year is not a leap year.
Output:
Please Enter a year:2003
2003 is not a leap year.
Answer:
Option (3) is the correct answer of this question.
Explanation:
- HCatalog makes available Hive metadata to users of other Hadoop applications, such as Pig, MapReduce and Hive. it offers interfaces for MapReduce and Pig so that users can read data from and write data to the Hive warehouse.
- This means users don't have to care about where or in what format their data is stored. So we know this way that Hcatalog makes sure our data is secure.
- Others option does not belong to Hcatalog so these options are incorrect .
Answer: Data and Insights
Explanation:
Data and Insights in an enterprise platform is very important as it helps users better understand their customers so that they may be able to offer them the best services.
Data allows the platform to capture the data of the customer and insights then curates and consumes the data for analysis. The result of this analysis will enable the company to better understand the customer so that they might be able to offer preferable products.
