Answer:
Data is the correct answer
Answer:
The program in Python is as follows:
num1 = int(input())
num2 = int(input())
if num1 >=0 and num2 >= 0:
print(num1+num2)
elif num1 <0 and num2 < 0:
print(num1*num2)
else:
if num1>=0:
print(num1**2)
else:
print(num2**2)
Explanation:
This gets input for both numbers
num1 = int(input())
num2 = int(input())
If both are positive, the sum is calculated and printed
<em>if num1 >=0 and num2 >= 0:</em>
<em> print(num1+num2)</em>
If both are negative, the products is calculated and printed
<em>elif num1 <0 and num2 < 0:</em>
<em> print(num1*num2)</em>
If only one of them is positive
else:
Calculate and print the square of num1 if positive
<em> if num1>=0:</em>
<em> print(num1**2)</em>
Calculate and print the square of num2 if positive
<em> else:</em>
<em> print(num2**2)</em>
Create an advanced search using the search criteria in the range K2:S3 and the inventory data where the results will be displayed in the search results (starting in cell K10).
Explanation:
- In cell B2, enter the value from A7.
- Insert a function in D2 that will return the arrival date of any vehicle based on which VIN is entered in B2 (Hint: Start with an INDEX function. Before you use a nested MATCH function, specify which column number you will be returning.)
- Insert a function in F2 that will return the Special Notes of any vehicle based on which VIN is entered in B2 (Use the same hint from the previous step.)
- Enter the following values for the advanced search criteria in the range K3S3:
- Year = 2018
- Type = Sedan
- GPS = Yes
- Create an advanced filter using the search criteria in the range K2:S3 and the inventory data where the results will be displayed in the search results (starting in K10).
- Verify results populate as expected.
The service that works in conjunction with EC2 Autoscaling in order to provide predictive scaling based on daily and weekly trends is target tracking.
<h3>How can I employ Predictive Scaling with target tracking? </h3>
Predictive Scaling works is known to be one that works in line with target tracking. They both help to make one's EC2 capacity to change more better to one's incoming application traffic.
Note that target tracking scaling policies is one where a user has to select a scaling metric and set a target value.
Learn more about Autoscaling from
brainly.com/question/17661222
