Answer:
C) Data scientist.
Explanation:
Data science is the use of various methods such as algorithms, scientific methods, and systems to get insights and knowledge from structured and unstructured data.
Angelica in helping business clients identify, organize, and analyze data from social media sources, internal CRM databases, commercial entity sources, and government sources is taking a data scientist's role.
Answer:
A. increase; decrease; increase
Explanation:
If the inflation of United States is lower than in other countries, it means that the price level of United States products are relatively lower than price of products in other countries. So that, the foreign consumers want to buy U.S products more, leading to the increase in U.S. export.
Similarly, as the price of products in other countries are higher than that in the U.S., so that the U.S. residents want to buy domestic products more, reducing the imports of products from other countries, leading to the decrease in the U.S. import.
As the Net export = Export ↑- Imports↓
=> The Net export of US would increase
Answer:
b. The potential value of including specific goal tracking.
Explanation:
Top cash model is the one which prioritizes the cash value as compared to the product features. The potential value of a product is identified and then the price for the product is set. This creates value for money for customers.
Microchip technology is one of the main factors that made low-cost personal computers and other devices increasingly accessible to the general people in the 1990s.
The history of the technology industry is one of rapid expansion and decline. Its initial era of rapid expansion covered the years 1990 to 2000, which are commonly referred to as the "dot-com boom" or the "tech bubble."
Over the time, employment in the technology sector sectors soared by 36% nationwide. Over a ten-year period, the average weekly pay for those working in the technology industry quadrupled and increased by 102%. At its height in 2000, slightly over 4% of all private employment was in the technology sector.
Early in 2001, as the tech bubble burst, employment in the industry fell off quickly. For the next four years, there were large net job losses.
Learn more about personal computers in the 1990s here:
brainly.com/question/16026203
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