Module 4: Become a Fair and Impactful Data Professional Answers (Part 1: Q1–15)

Looking for ‘foundations data data everywhere module 4 answers‘?

In this post, I provide accurate answers and detailed explanations for Module 4: Become a fair and impactful data professional of Course 1: Foundations: Data, Data, Everywhere Google Data Analytics Professional Certificate.

Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question.

Here, we’ll walk through questions 1 to 15 with detailed explanations to support your learning.

To find answers to the remaining questions, check out the full module breakdown below:

Test your knowledge on spreadsheet basics

Practice Quiz

1. In a spreadsheet, what is text wrapping used for?

  • To allow all of the text to fit inside a cell ✅
  • To allow text to overflow into an adjacent cell
  • To remove text that is too long to fit in a cell
  • To clip text within a cell so it doesn’t overflow into an adjacent cell

Explanation:
Text wrapping is used to make all the text in a cell visible by wrapping the text to fit within the cell’s boundaries. This prevents text from being cut off or overflowing into adjacent cells, ensuring readability without affecting the layout of the spreadsheet.

2. By default the columns in a spreadsheet are ordered by letter, and the rows are ordered by number.

  • True ✅
  • False

Explanation:
Spreadsheet applications like Excel and Google Sheets label columns with letters (A, B, C, etc.) and rows with numbers (1, 2, 3, etc.). This grid-like structure helps in identifying cells using a combination of column letters and row numbers, such as A1 or B2.

3. Fill in the blank: In a data table, a row is called an observation. An observation includes all of the _____ for what is contained in the row.

  • diagnostics
  • commonalities
  • names
  • attributes ✅

Explanation:
In a data table, each row represents an observation, and the attributes are the pieces of data or variables that describe that observation. For example, in a table of employee data, an observation might represent an employee, and the attributes would include the employee’s name, age, job title, etc.

Test your knowledge on SQL

Practice Quiz

4. What does the asterisk (*) after SELECT tell the database to do in this query?

  • Select the LastName column from the employee table
  • Select all columns from the employee table ✅
  • Select all data that meets the criteria as stated in the query, then multiply it
  • Select all data that meets the criteria as stated in the query

Explanation:
The asterisk (*) in an SQL SELECT statement indicates that all columns in the specified table (in this case, employee) should be included in the result set.

5. In this query, the data analyst wants to retrieve data from which table?

  • jobCode
  • LastName
  • employee ✅
  • James

Explanation:
The FROM employee clause specifies the table from which the data will be retrieved. In this query, the data is being retrieved from the employee table.

6. In this query, what will be retrieved from the database?

  • All data from the employee table, where the jobCode is FTE and the last name is James. ✅
  • All data from the FTE table, where the employee’s LastName is James.
  • All data from the jobCode table, where the jobCode is FTE and the employee has any last name other than James.
  • All data from the employee table, where the jobCode is FTE and the employee has any last name other than James.

Explanation:
The query uses the WHERE clause to filter results. It retrieves all rows from the employee table where the jobCode is 'FTE' and the LastName is 'James'. Since * is used, all columns for these rows will be returned.

7. You are working with a database table that contains data about music artists. The table is named artist. You want to review all the columns in the table.

You write the SQL query below. Add a FROM clause that will retrieve the data from the artist table.

How many columns are in the artist table?

  • 2 ✅
  • 8
  • 5
  • 9

Explanation:
The FROM clause specifies the table (artist) from which data should be retrieved. The asterisk (*) indicates that all columns in the artist table should be included in the result set.

How many columns are in the artist table?

8. You are working with a database table that contains data about music albums. You are only interested in data related to the album with ID number 277. The album IDs are listed in the album_id column from the album table.

You write the SQL query below. Add a WHERE clause that will return only data about the album with ID number 277.

What is the name of the album with ID number 277?

  • Vivaldi: The Four Seasons
  • Beethoven: Piano Sonatas
  • Mozart: Chamber Music
  • Bach: Goldberg Variations ✅

Test your knowledge on visualizing data

Practice Quiz

9. Fill in the blank: A data visualization is the _____ representation of information.

  • graphical ✅
  • tabulated
  • contextual
  • attributed

Explanation:
Data visualizations use graphical elements such as charts, graphs, and plots to represent information, making complex data easier to understand.

10. When would a pie chart be an effective visualization?

  • When showing a class broken down by age ✅
  • When showing the ages of males versus females
  • When showing the relationship between age and income
  • When showing a change in someone’s age over time

Explanation:
A pie chart is most effective when displaying proportions or percentages of a whole, such as the breakdown of a class by age groups. It is not suitable for comparisons or trends over time.

11. What are the key benefits of data visualizations? Select all that apply.

  • They can ensure that you get fewer questions about your analysis
  • They can illustrate relationships between data points ✅
  • They can help stakeholders understand complex data more quickly ✅
  • They can clearly demonstrate patterns and trends ✅

Explanation:
Data visualizations are powerful tools that make it easier to identify relationships, patterns, and trends in data. They also help stakeholders quickly grasp complex information. However, visualizations do not necessarily reduce the number of questions about your analysis, as stakeholders might ask for more details or clarifications.

*Module 4 challenge*

Graded Quiz

12. In the following spreadsheet, the column labels in row 1 are called what?

  • Criteria
  • Attributes ✅
  • Descriptors
  • Characteristics

Explanation:
Column labels in the first row of a spreadsheet define the type of data contained in each column. These labels are referred to as attributes, representing the variables or properties of the data set.

13. Fill in the blank: In row 8 of the following spreadsheet, you can find the _____ of Cary.

  • format
  • attribute
  • criteria
  • observation ✅

Explanation:
In data analysis, an observation refers to a single record or data point. In a spreadsheet, each row represents an observation, containing all the attribute values for a specific entity. Therefore, row 8 contains the observation for Cary.

14. Fill in the blank: In the following spreadsheet, the _____ feature was used to alphabetize the city names in column B.

  • Organize range
  • Name range
  • Randomize range
  • Sort range ✅

Explanation:
The “Sort range” feature allows users to sort data within a specific range of cells. By selecting column B and applying “Sort range,” the city names can be alphabetized while maintaining the integrity of the corresponding data in other columns.

15. A data analyst types =POPULATION(C2:C11) to find the average population of the cities in this spreadsheet. However, they realize they used the wrong formula. What syntax will correct this function?

  • =AVERAGE(C2-C11)
  • AVERAGE(C2:C11)
  • AVERAGE(C2-C11)
  • =AVERAGE(C2:C11) ✅

Explanation:
The correct function to calculate the average of a range of numbers in spreadsheet software is AVERAGE. The correct syntax is =AVERAGE(C2:C11), which computes the average of the values in cells C2 through C11.

That’s it for Part 1! Continue your learning journey with the next set of answers.

Next Part: Module 4: Become a Fair and Impactful Data Professional Answers (Part 2: Q16–30)

Leave a Reply