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Flashcards in Analyzing Business Requirements for Data Science Deck (10)
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1

Data Science is a multidisciplinary field that uses which individual fields?

Scientific methods, processes, computers, and algorithms

Scientific methods, processes, systems, and algorithms

Non-mathematical methods, processes, systems, and algorithms


Scientific methods, people, systems, and algorithms

Scientific methods, processes, systems, and algorithms

2

What is the desired outcome of a successful data science project?

To extract knowledge and insights from unstructured data only


To extract knowledge and insights from structured and unstructured data


To extract knowledge and insights from scientific experiments


To extract knowledge and insights from structured data only

To extract knowledge and insights from structured and unstructured data

3

What is a difference between soft-skills and hard-skills?

Soft-skills are driven by human traits, whereas hard-skills are teachable and can be measured.

Soft-skills are related to software, whereas hard-skills are related to hardware.


Hard-skills are driven by human traits, whereas soft-skills are teachable and can be measured.


Hard-skills are hard to teach, whereas soft-skills are easier "softer" to teach.

Soft-skills are driven by human traits, whereas hard-skills are teachable and can be measured.

4

What best describes an internal stakeholder?

People whose departments are directly affected by a project within the business

People outside the business who are directly affected by a project

People within the organization but have no vested interest in the project

People inside the business who are NOT affected by a project

People whose departments are directly affected by a project within the business

5

What approach would you take on your first data science team meeting?

Ask the team what issues have occurred in the past and proceed with caution.

Force your project ideas and let them know how the team will work together.

Ask if they think that the project will be a success or not, and ask them who has the budget to pay for the project.

Ask open ended questions, gather pain points, then assess if you have them won over in principle.

Ask open ended questions, gather pain points, then assess if you have them won over in principle.

6

How should you assess the needs of the project to the business?

Identify the customer type and risks of losing money in the short term.

Identify the needs of managment and external stakeholders and proceed.

Determine the risk level, determine the customer, and ensure that the customer's needs are met.

Identify the risk level, the return on investment and proceed if profitable to the data science firm.

Determine the risk level, determine the customer, and ensure that the customer's needs are met.

7

Which of the following is a business metric for a data science project?

Release cycle speed

Churn rate

Team Size

Lines of code per day

Churn rate

8

Which statement describes part of an agile process?

Management decides what tasks are to be assigned, which will then waterfall down to the team members.

The team generally conducts monthly sprints and tasks are assigned by the figure of "benevolent dictator for life"

The team documents the requirements, which will then waterfall down to the team members.

The team generally conducts weekly sprints and are assigned tasks. Previous sprints are used to enhance the next.

The team generally conducts weekly sprints and are assigned tasks. Previous sprints are used to enhance the next.

9

What fields are included in a program risk management scale matrix?

Technical Performance, Cost, Schedule, Lines of Code

Technical Performance, Cost, Schedule, Overall score

Technical Performance, Team Size, Schedule, Overall score

Technical Performance, Team Size, Data Center Size

Technical Performance, Cost, Schedule, Overall score

10

Which statement best defines a high risk data science project?

A project that typically has a high chance of success, but provides little or no value to an organization

A project that typically has a high chance of success and provides the most value to an organization

A project that typically has a low chance of success, but provides the most value to an organization

A project that typically has a low chance of success and provides the least value to an organization

A project that typically has a low chance of success, but provides the most value to an organization