Answer:
The correct answer is offsite and onsite.
Explanation:
When implementing Business Continuity the preservation of company data comes first.
Business Continuity Plan/Strategies are those measures that a company puts in place to ensure that regardless of the threat, and or disruption to the existing model that allows them to provide goods or services, (e.g. tsunamis or earthquakes, riots and civil unrests, compulsory government curfew) they can continue to function, reach their customers and remain operational.
The first rule of Business Continuity Plan is to protect all information assets. Off-site data or information refer to those information and or data that are remotely stored. That is, they are secured far away from the physical location of the business such as a data or server farm, cloud storage etc.
Onsite data storage refers to storing data on the premises or site of the business. Some fo the tools used are Hard Disk Drivers, Solid State Drives, DVDs etc.
Cheers!
Answer:
D. Simon, who is baking a cake that will be sold in a bakery
Explanation:
Simon is the producer here because he is producing a product to sell on the market.
Answer:
import, subtract. export, added
Explanation:
The GDP equation is given by GDP = C + I + G + (X – M) where C is consumption, I investment, G is government expenditures and M are imports.
Since the bottle of wine was produced in France it had to be imported to Honduras to be consumed, imports enters the GDP equation with a minus sign. This implies imports are subtracted from the GDP equation. For a box of Honduras cigars to be consumed in Canada they had to be exported there, so these are counted as exports with enter the GDP equation with a plus sign. So exports are added.
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning
