Answer:
Primary memory is computer memory that is accessed directly by the CPU
Explanation:
Operational data is used to sustain applications that help facilitate operations.
These databases are directed to as application-oriented. Analytical data is used to examine one or more business areas, such as sales, costs, or profit
<h3>What is the distinction between operational and information-analytical systems?</h3>
Operational systems are prepared to deal with the running values of data. Informational Systems deal with the collection, collection, and deriving of information from data.
<h3>What is the distinction between operational and analytical reporting?</h3>
Analytical reporting is introduced toward supporting the strategic and preparing functions of senior management.
Functional reporting is oriented toward helping the day-to-day organizational functions.
To learn more about Operational data, refer
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Answer:
Explanation:
The following program is written in Java. Using the program code from Purchase class in 5.13 I created each one of the fruit objects. Then I set the price for each object using the setPrice method. Then I set the number of each fruit that I intended on buying with the setNumberBought method. Finally, I called each objects getTotalCost method to get the final price of each object which was all added to the totalCost instance variable. This instance variable was printed as the total cost of the bill at the end of the program. My code HIGHLIGHTED BELOW
//Entire code is in text file attached below.
//MY CODE HERE
DecimalFormat df = new DecimalFormat("0.00");
oranges.setPrice(10, 2.99);
oranges.setNumberBought(2*12);
eggs.setPrice(12, 1.69);
eggs.setNumberBought(2*12);
apples.setPrice(3, 1);
apples.setNumberBought(20);
watermelons.setPrice(1, 4.39);
watermelons.setNumberBought(2);
bagels.setPrice(6, 3.50);
bagels.setNumberBought(12);
totalCost = oranges.getTotalCost() + eggs.getTotalCost() + apples.getTotalCost() + watermelons.getTotalCost() + bagels.getTotalCost();
System.out.println("Total Cost: $" + df.format(totalCost));
}
}
It’s obviously C.Signaling your intent by using your blinkers also known as the lights at the back of your car!
Answer:
Means no matter how many processors you use, speed up never increase from 10 times.
Explanation:
If a problem of size W has a serial component Ws,then performance using parallelism:
Using Amdahl's Law:
Tp = (W - Ws )/ N + Ws
Here, Ws = .1,
W - Ws = .9
Performance Tp = (.9 / N) + .1
---------------------------------------------------------
Speed Up = 1 / ( (.9 / N) + .1)
If N -> infinity, Speed Up <= 10
Means no matter how many processors you use, speed up never increase from 10 times.
