Assume the following tables for this problem: ComputerProduct(manufacturer, model, price) Desktop(model, speed, ram, hdd) Laptop(model, speed, ram, hdd, weight) A computer product is either a desktop or a laptop. Using a CHECK constraint on the Laptop table, express the constraint that a laptop cannot have weight larger than 5kg and the weight must be greater than 0kg. You do not need to show the entire CREATE TABLE statement. Show only the CHECK constraint part in the CREATE TABLE statement.

When working with a team you should always do the following, except? question 3 options: be dependable and trustworthy be sensitive to others feelings do your fair share critique members of the group

Select the correct answer. peter has launched a website that features baby products. however, clients often find they are unable to access the website because the server is down. which feature of cybersecurity should peter focus on for his website? a. data authenticity b. data privacy c. data availability d. data integrity e. data encryption

When making changes to optimize part of a processor, it is often the case that speeding up one type of instruction comes at the cost of slowing down something else. for example, if we put in a complicated fast floating-point unit, that takes space, and something might have to be moved farther away from the middle to accommodate it, adding an extra cycle in delay to reach that unit. the basic amdahl's law equation does not take into account this trade-off. a. if the new fast floating-point unit speeds up floating-point operations by, on average, 2ă—, and floating-point operations take 20% of the original program's execution time, what is the overall speedup (ignoring the penalty to any other instructions)? b. now assume that speeding up the floating-point unit slowed down data cache accesses, resulting in a 1.5ă— slowdown (or 2/3 speedup). data cache accesses consume 10% of the execution time. what is the overall speedup now? c. after implementing the new floating-point operations, what percentage of execution time is spent on floating-point operations? what percentage is spent on data cache accesses?