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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. Two project teams are assigned to upgrade an on-premise data warehouse to a cloud-based data lake in 13 months. The infrastructure team has five team members, while the enterprise analytics team has three team members. The enterprise analytics team cannot move into production until the infrastructure team has completed the migration.
What should be used to find the probability that the project will be completed on time?

A) Bayes' theorem
B) Combination
C) Conditional probability
D) Multiplication principle

2. What does big data include?

A) Inferential statistics for large companies
B) Both structured and unstructured data
C) Powerful extraction tools
D) Information that can be analyzed with spreadsheets

3. An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

A) If the big box store increases its advertising expenditures, its sales will decrease.
B) If the specialty store increases its advertising expenditures, it will decrease the big box store's sales.
C) If the big box store decreases its advertising expenditures, it will decrease the big box store's sales.
D) If the big box store decreases its advertising expenditures, its sales will increase.

4. A company runs a regression analysis to determine sales based on advertising expenditures, which can be shown in a linear equation as y = 2x + 25,000. The company plans to spend $20,000 on advertising.
Which sales figure should the company expect to generate based on the given equation?

A) $65,000
B) $75,000
C) $50,000
D) $40,000

5. What must be analyzed using powerful analytic tools?

A) Inferential statistics
B) Big data
C) Small, independent data sets
D) Data analysis results

Solutions: