Question 1

Fill in the blank: When solving the _____ problem type, a data professional team at a bank analyzes financial market data from the past six months. They then use this information to understand what led to certain fluctuations and what is likely to cause them again.

1 point

identifying themes

categorizing things

discovering connections

finding patterns

2.

Question 2

Which of the following statements correctly describe the SMART methodology? Select all that apply.

1 point

SMART stands for specific, measurable, action-oriented, relevant, and time-bound.

Time-bound questions limit the amount of time analysts should work on a particular project.

Relevant questions matter, are important, and have significance to the problem.

Specific questions are simple, significant, and focused on a single topic or a few closely related ideas.

3.

Question 3

A restaurant group is choosing the locations of new restaurant openings. They use an algorithm to monitor current trends and develop business intelligence about where people most frequently dine out. Which data problem type does this scenario describe?

1 point

Categorizing things

Spotting something unusual

Discovering connections

Making predictions

4.

Question 4

For what reasons would it be unfair for a human resources manager to ask employees, "Why do you love working for our company?" Select all that apply.

1 point

It is a leading question

It is vague

It is a closed-ended question

It makes assumptions

5.

Question 5

Fill in the blank: When solving the _____ problem type, a data analytics team notices a surprising shift in global economic conditions.

1 point

making predictions

spotting something unusual

identifying themes

discovering connections

6.

Question 6

A data analytics team sorts customer data by interests. Then, they group that information into broader concepts, such as customers who are interested in travel and customers who are interested in cooking. Which data problem type does this scenario describe?

1 point

Identifying themes

Finding patterns

Discovering connections

Making predictions

7.

Question 7

Which of the following questions are open-ended? Select all that apply.

1 point

On a scale of 1-10 (with 10 being most important), how important is eating healthy?

What are you most looking forward to in the coming year?

Have you ever traveled outside your home country?

How would you describe this movie?

8.

Question 8

A trade school in Alberta discovers that student performance has been dropping over the past three years. A data professional researches current trends across Canada and identifies the same issue at many other trade schools. School leaders all come together to discuss the challenges they face and share information that will help them improve teaching practices and better support students. What data problem type are they solving?

1 point

Discovering connections

Categorizing things

Making predictions

Identifying themes

9.

Question 9

Fill in the blank: The question, "Which aspects of our packaging can be updated in order to make our product more customer-centric?" is _____ because it encourages change.

1 point

specific

action-oriented

measurable

relevant

10.

Question 10

A junior data professional working for an online retailer is asked to determine which ads are most successful with shoppers. They review click-throughs compared to the type of ads presented, then group the ads accordingly. Which data problem type does this scenario describe?

1 point

Spotting something unusual

Finding patterns

Discovering connections

Categorizing things