Answer: A.) An enterprise search software
Explanation: Placing restrictions on the search or retrieval of confidential data or information may be enforced through the use of an enterprise search software. The enterprise search software enables the retrieval of information or data from databases and other enterprise-level sources while also ensuring that these informations or data are made available to a defined audience or population by following carefully defines rules and compliance procedures in other to ascertain security of organizational data and information.
Answers
What’s the question you didn’t show a picture
Explanation
<span>Palding hires an asian company to produce a specified volume of sports equipment that still carries spalding's name. this is an example of contract manufacturing. Contract manufacturing </span>occurs when a company hires a foreign company to produce a specified volume of the firm's product to specification. However, the final <span> product carries the domestic firm's name. </span>
Answer:
Density of propane = 17.8 g/L
Propane is more priced than gasoline
Explanation:
Given:
Temperature, T = 298 K
Pressure, P = 10 bar = 0.987 × 10 = 9.87 atm
now,
Molar mass of propane, M = 44.1 g/mol
From ideal gas law
⇒ PV = nRT
here,
n is the number of moles
R is the ideal gas constant = 0.0821 L.atm/mol.K
also,
Density, D = 
or
V = 
and,
nM = mass
thus,
V = 
substituting in the ideal gas relation
we have
P = 
or
D = 
or
D = 
or
D = 17.8 g/L
Now,
1 gallon = 3.78 Liter
Therefore,
5 gallon = 5 × 3.78 Liter = 18.9 Liter
Thus,
mass of 5 gallon propane = Volume × Density
= 18.9 Liter × 17.8 g/L
= 336.42 g
or
= 0.336 kg
also it is given that Price of 5 gallon propane i.e 0.336 kg = $30
Therefore,
Price per kg = 
= $89.28
and,
Mass of 5 gallons i.e 18.9 Liter gasoline = Density × Volume
= 0.692 g/cm³ × 18.9 Liter
also,
1 L = 1000 cm³
thus,
= 0.692 g/cm³ × 18.9 × 1000 cm³
= 13078.8 g
or
= 13.078 kg
Therefore,
Price per kg of gasoline = 
= $2.29
hence, propane is more priced than gasoline
I would want to know the past sales figures of all lawn equipment, broken down by category, brand and model, to know which ones are most and least popular with customers. That way, I would know which ones to buy more of due to higher popularity and which ones to buy less of due to lower popularity.
