Answer:
The answer is C.It makes recommendations that are validated using machine learning.
Explanation:
A performance planner is a tool used by Google Ads to devise plans in relation to how a business spends on advertising and how changes on advertisement campaigns will affect key metrics and the general performance. It is mostly used as a forecasting tool, with the use of machine learning to show the possibilities or potential outcomes in Google Ads campaigns. This implies that all the conclusions arrived at, are determined by machine learning.
Answer:
The correct answer is option (b) Little capital
Explanation:
Solution
With a little capital this will help Lily to choose a sole proprietorship organization for her business. a sole proprietorship can begin with a little capital.
The option (a) is not correct as possession of a partner will not lead her to start a sole proprietorship business.
Also the option (c) is not correct the avoidance of personal liability is not the reason because in sole proprietorship, Lily will be liable for her debts.
In the scenario in which the segmentation of the customer base is in two categories: high wealth and retirement. A system administrator can make the differentiation high wealth accounts to be visible to high wealth sales team members and retirement accounts should be visible to all sales user, by setting the organization-wide default sharing to private and create a sharing rule to share Retirement accounts with all Sales users.
Answer:
This allows WeBuy&Sell.com to earn high profits at a very low cost. According to the given scenario, WeBuy&Sell.com has high scalability.
Explanation:
In an economic context, a scalable business model implies that a company can increase sales given increased resources.
Answer:
$ 464,120
Explanation:
Calculation to determine what The amount of manufacturing overhead that would have been applied to all jobs during the period is closest to:
Estimated overhead Rate = ( Estimated Fixed Manufacturing Overhead) / (Estimated Machine Hours )
Estimated overhead Rate = $ 492,000 / 30,000 hours
Estimated overhead Rate = $ 16.4 / hr
Total amount of overhead =Overhead Rate × Actual total machine-hours
Total amount of overhead = $ 16.4 / hr × 28,300 hours
Total amount of overhead= $ 464,120
Therefore The amount of manufacturing overhead that would have been applied to all jobs during the period is closest to:$ 464,120
