Answer:
The marks in sequence are as follows:
- make lower case
- add space
- remove space
- do not delete
Explanation:
We will look upon the symbols one by one.
In the first line, the mark on Q is for "making it lower case"
In the second line, the mark with # means that space needs to be inserted there.
In the third line, the mark used with "fo x" means that the space between fo and x needs to be deleted
And in the last line, the mark with stet written in circle means "let it stand" or "do not delete"
Hence,
The marks in sequence are as follows:
- make lower case
- add space
- remove space
- do not delete
Called the<span>. </span>script<span>. build. When you run a web application, NetBeans. automatically compiles all the files that need to be compiled, deploys th</span>
Answer:
D. at the intersection of at least two constraints.
Explanation:
Linear programming is an optimization technique which is fine for the purpose of getting the best solution such as maximizing profit or certain o 4th era quantities. It is fine by modelling real life problems into mathematical models that have linear relationships or constraints such as in the form of objective functions. In linear programming, an objective function defines the formula for quantity optimization and the goal from this is to determine variable values that maximize or minimize the objective function depending on the problem robbery solved.
A range check is often used when a person works with data consisting of numbers, dates and times, or currency, ensuring that a number is within a specific range.
Explanation:
- Range checks allow a person to set suitable boundaries.
- An example of a range check is checking to see if the value of a 16-bit integer is within the capacity of a 16-bit integer. When a range check is performed, upper and lower boundaries are specified.
- Range check is a validation check which can be applied to numeric fields. This is done to ensure that only numbers within a certain domain can be entered into a field. Remember that this does not necessarily mean that the data entered will be correct. But it will certainly lie within reasonable limits.
- A method of validation which checks that data falls between an upper and lower acceptable value.
- This validation check which can be applied to numeric fields. This is done to ensure that only numbers within a certain domain can be entered into a field. Remember that this does not necessarily mean that the data entered will be correct. But it will certainly lie within reasonable limits.
1.Select the data.
2.Go to Data –> Data Tools –> Remove Duplicates.
3.In the Remove Duplicates dialog box: If your data has headers, make sure the 'My data has headers' option is checked. Make sure the column is selected (in this case there is only one column).
