Welcome to your go-to resource for Prepare Data for Exploration quiz answers! Whether you are preparing for the practice quizzes or getting ready for the graded quizzes, this post provides accurate answers to help you succeed. From data cleaning to exploration techniques, this guide will ensure you are fully prepared for every module of the course.
Prepare Data for Exploration Quiz Answers – Practice & Graded Quizzes for All Modules
Table of Contents
Prepare Data for Exploration Module 01 Quiz Answers
Test your knowledge on collecting data Quiz Answers
Q1. What are cookies?
Correct Answer:
- Small files stored on computers that contain information about users
Explanation: Cookies are small files that websites store on a user’s computer to retain information about their browsing activity, preferences, or login status.
Q2. Fill in the blank: For data analytics projects, _____ data is typically preferred because users know it originated within the organization.
Correct Answer:
- first-party
Explanation: First-party data is collected directly from users or customers by the organization itself, ensuring its authenticity and relevance.
Q3. A grocery store chain purchases customer data from a credit card company. The grocer uses this data to identify its most loyal customers and offer them special promotions and discounts. What type of data is being used in this scenario?
Correct Answer:
- Second-party
Explanation: Second-party data is collected by one organization (in this case, the credit card company) and then shared or sold to another organization (the grocery store).
Q4. In data analytics, what term refers to all possible data values in a dataset?
Correct Answer:
- Population
Explanation: In statistics, a population refers to the entire set of data points or values from which a sample may be drawn.
Test your knowledge on data formats and structures Quiz Answers
Q1. What type of data is the height of a skyscraper?
Correct Answer:
- Continuous
Explanation: The height of a skyscraper is continuous because it can take any value within a range and is measured with precision, including fractions.
Q2. In data analytics, what is the term for data that is generated from, and lives, outside of an organization?
Correct Answer:
- External
Explanation: External data refers to data that originates outside an organization, such as from third parties, market reports, or public datasets.
Q3. What are the key characteristics of unstructured data? Select all that apply.
Correct Answer:
- Unorganized
Explanation: Unstructured data is not organized in a predefined manner, making it difficult to store in traditional rows and columns like structured data. It may include text, images, and other formats that don’t fit neatly into a database.
Q4. Fill in the blank: A data model is used to organize _____ and how they relate to one another.
Correct Answer:
- data elements
Explanation: A data model is a way to organize and define the relationships between data elements, which can include tables, fields, and other data types in a system.
Test your knowledge on data types, fields, and values Quiz Answers
Q1. Fill in the blank: A data type is a specific kind of data _____ that tells what kind of value the data is.
Correct Answer:
- attribute
Explanation: A data type is an attribute that defines the kind of data (e.g., string, integer, float) and specifies the type of value the data can hold.
Q2. What are the key characteristics of a text, or string, data type? Select all that apply.
Correct Answer:
- Contains textual information
- Sequence of characters and punctuation
Explanation: The text (or string) data type consists of a sequence of characters, including letters, numbers, and punctuation, to represent textual information.
Q3. In a data table, where are fields contained?
Correct Answer:
- Columns
Explanation: In a data table, fields (or attributes) are contained in columns, where each column represents a specific data attribute.
Q4. When using long data, each subject has data in multiple rows. This is because each row represents what?
Correct Answer:
- One observation per subject
Explanation: In long data format, each row corresponds to one observation or data point for a specific subject, allowing multiple rows for each subject to capture different attributes or measurements.
Prepare Data for Exploration Module 01 Challenge Quiz Answers
Q1. Which of the following items are examples of structured data? Select all that apply.
Correct Answer:
- Price list
- Data table
Explanation: Structured data refers to data that is organized in rows and columns, such as in a data table or a price list. Scanned medical images and audio recordings are examples of unstructured data because they don’t follow a clear, organized structure.
Q2. Fill in the blank: The number of products in a store is an example of _____ data.
Correct Answer:
- discrete
Explanation: Discrete data refers to data that consists of distinct, countable units, such as the number of products in a store.
Q3. Which of the following statements accurately describe first-, second-, and third-party data? Select all that apply.
Correct Answer:
- When using third-party data, it’s important to confirm its accuracy.
- A key benefit of using first-party data is that the user knows where it came from.
- Second-party data is sold by a trusted partner to another party.
Explanation: - First-party data is collected directly from users by the organization.
- Second-party data is collected by a trusted partner and then shared or sold to another organization.
- Third-party data is collected by an external source and typically requires validation for accuracy.
Q4. A data analyst works on an urgent traffic study. As a result of the short time frame, which type of data might yield the best results?
Correct Answer:
- Historical
Explanation: Historical data provides past information, making it readily available and useful for urgent analysis, unlike unclean or fabricated data.
Q5. A data analyst at an energy utility wants to study the opinions of all adults in Portugal about green energy. Because it would be impractical to collect data from every single person in the country, the data analyst studies a part of the population that is representative of the whole. What does this scenario describe?
Correct Answer:
- Using a sample
Explanation: A sample is a subset of the population, selected to represent the whole when it’s impractical to collect data from everyone.
Q6. Which of the following items are examples of continuous data? Select all that apply.
Correct Answer:
- Amount of traffic at rush hour
- Square footage of a house
Explanation: Continuous data is measurable and can take on any value within a range, like traffic volume or square footage. Favorite live music venue and number of languages spoken are examples of categorical (nominal) data.
Q7. What type of data is contained in the following spreadsheet?
Correct Answer:
- Long
Explanation: The data is in “long” format because each record (customer’s spending per year) is represented by multiple rows, with one row for each year and its corresponding value.
Q8. Which of the following questions would enable a data professional to collect nominal qualitative data?
Correct Answer:
- Did anyone recommend our music lessons to you?
Explanation: This question generates categorical (nominal) data, which represents categories or names, such as “yes” or “no,” rather than numerical or ordinal data.
Q9. A data analyst at a manufacturing company records the results of inventory counts. For each inventory item, they indicate whether it is present or not. What data type is being collected in this scenario?
Correct Answer:
- Boolean
Explanation: Boolean data consists of two possible values, typically “true” or “false,” representing the presence or absence of an item.
Prepare Data for Exploration Module 02 Quiz Answers
Test your knowledge on unbiased and objective data Quiz Answers
Q1. Fill in the blank: Bias is a _____ preference in favor of or against a person, group of people, or thing.
Correct Answer:
- conscious or subconscious
Explanation: Bias can occur both consciously (intentional) or subconsciously (unintentional) in favor of or against a particular group or idea.
Q2. Which of the following are examples of sampling bias? Select all that apply.
Correct Answer:
- An election poll only interviews people with college degrees.
- A clinical study includes three times more men than women.
- A survey of students does not include homeschooled students.
Explanation: Sampling bias occurs when the sample population does not accurately represent the overall population. These examples reflect how certain groups are overrepresented or underrepresented, leading to biased results.
Q3. What is the term for the tendency to search for or interpret information in a way that validates pre-existing beliefs?
Correct Answer:
- Confirmation bias
Explanation: Confirmation bias refers to the tendency to interpret or seek out information that supports one’s pre-existing beliefs while disregarding information that contradicts them.
Q4. Which of the following terms are also ways of describing observer bias? Select all that apply.
Correct Answer:
- Research bias
- Experimenter bias
- Perception bias
Explanation: Observer bias, also known as research bias or experimenter bias, occurs when a researcher’s expectations or personal views influence their observations. Perception bias is also used to describe this effect. Spectator bias is not a standard term for this concept.
Test your knowledge on data credibility Quiz Answers
Q1. Fill in the blank: Data is considered _____ when it is accurate, complete, and unbiased information that has been vetted and proven fit for use.
Correct Answer:
- reliable
Explanation: Reliable data is data that is accurate, complete, and unbiased, and has been proven to be fit for its intended use.
Q2. Which of the following are usually good data sources? Select all that apply.
Correct Answer:
- Vetted public datasets
- Academic papers
- Governmental agency data
Explanation: These sources are generally considered reliable because they often undergo thorough review and validation. Social media sites, on the other hand, can contain unreliable or biased information and are not usually regarded as a good data source for professional or analytical use.
Q3. To determine if a data source is cited, ask which of the following questions? Select all that apply.
Correct Answer:
- Is this dataset from a credible organization?
- Who created this dataset?
- When was this data last refreshed?
Explanation: These questions help assess the credibility and quality of a data source. Asking if the dataset has been properly cleaned is important for data quality, but it is not directly related to citation.
Q4. A junior data analyst learns that the dataset they have been given is six years old. After looking into this further, they also discover that the age of the data is making the information irrelevant to their project. What good data source principle have they used to evaluate the dataset?
Correct Answer:
- Current
Explanation: The junior data analyst is using the principle of “current” data, which highlights the importance of using up-to-date information for relevance and accuracy in analysis.
Test your knowledge on data ethics and privacy Quiz Answers
Q1. What are data ethics?
Correct Answer:
- Well-founded standards of right and wrong that dictate how data is collected, shared, and used
Explanation: Data ethics refers to the moral principles that guide the collection, usage, sharing, and protection of data to ensure fairness, transparency, and respect for individuals’ rights.
Q2. What concept states that all data-processing activities and algorithms should be completely explainable and understood by the individual who provides their data?
Correct Answer:
- Transaction transparency
Explanation: Transaction transparency emphasizes that individuals should fully understand how their data is processed, including the algorithms and activities involved, ensuring that data practices are clear and accountable.
Q3. A data analyst removes personally identifying information from a dataset. What task are they performing?
Correct Answer:
- Data anonymization
Explanation: Data anonymization involves removing personally identifiable information from datasets to protect individuals’ privacy while allowing data to be used for analysis.
Q4. Before completing a survey, an individual acknowledges reading information about how and why the data they provide will be used. What is this concept called?
Correct Answer:
- Consent
Explanation: Consent refers to the explicit permission an individual gives, acknowledging that they understand how their data will be used and agreeing to participate in data collection.
Test your knowledge on open data Quiz Answers
Q1. Fill in the blank: Openness refers to _____ access, usage, and sharing of data.
Correct Answer:
- free
Explanation: Openness refers to the unrestricted, free access, usage, and sharing of data, ensuring that it can be accessed and utilized by anyone.
Q2. What is the preferred method for open data to be made available?
Correct Answer:
- A convenient and modifiable internet download
Explanation: Open data should be available in a format that is easily downloadable from the internet, allowing users to access and modify the data for their needs.
Q3. What are the main benefits of open data?
Correct Answer:
- Good data is more widely available
- Combines data from different fields of knowledge
Explanation: Open data increases accessibility, allowing more people to benefit from it, and enables the combination of datasets from different domains to generate valuable insights.
Q4. What are the key aspects of universal participation?
Correct Answer:
- No one can place restrictions on data to discriminate against a person or group.
- Everyone must be able to use, reuse, and redistribute open data.
Explanation: Universal participation ensures that data is accessible to everyone without discrimination and that it can be freely used, reused, and shared.
Prepare Data for Exploration Module 02 Challenge Quiz Answers
Q1. An individual logs into their bank account and notices that their phone number is incorrect. They contact the bank to update their phone number. Which element of data privacy are they using?
Correct Answer:
- The right to inspect, update, or correct their own data
Explanation: The individual is exercising their right to inspect and correct their personal data, ensuring its accuracy.
Q2. A data professional working on a project about commuters researches the origin of a dataset and confirms it was created by a government transportation agency, which is a reputable source. However, they also find it was last updated seven years ago. Which aspect of good data are they missing?
Correct Answer:
- Current
Explanation: The data is outdated, which makes it less useful, as it no longer reflects the current conditions of the commuters.
Q3. A mortgage lender wants to protect the personally identifiable information of its clients, such as social security numbers and account numbers. They ask their data team to anonymize the data. What techniques might they use to achieve this goal?
Correct Answer:
- Hashing
- Masking
- Blanking
Explanation: These techniques are commonly used for data anonymization, helping to remove or obscure sensitive information while preserving the data’s utility for analysis.
Q4. An engineer and a product manager are working together to design a new application, which receives unclear user ratings. The engineer decides the ambiguous feedback is just a case of users being unfamiliar with the app and interprets it as being neutral, whereas the product manager interprets the feedback as being negative. What type of bias does this represent?
Correct Answer:
- Interpretation
Explanation: This represents interpretation bias, where individuals interpret ambiguous or unclear data based on their own perspectives or expectations.
Q5. Before completing a survey, a respondent learns more about how their data will be used. They understand why their data is being collected and how long it will be stored. What data ethics concept does this describe?
Correct Answer:
- Consent
Explanation: This describes consent, as the respondent is informed and agrees to the collection and use of their data.
Q6. A magazine conducts research about people’s reading preferences. They only include respondents who currently subscribe. What type of bias does this scenario describe?
Correct Answer:
- Sampling
Explanation: This scenario describes sampling bias, as it only includes a specific group of people (current subscribers) and does not represent the entire population of potential readers.
Q7. Fill in the blank: The data ethics principle of _____ states that an individual has the right to understand all of the data-processing activities and algorithms used on their data.
Correct Answer:
- transaction transparency
Explanation: Transaction transparency ensures that individuals understand how their data is being processed, including the algorithms used.
Q8. A government agency allows any business, nonprofit, or citizen to access its databases and reuse or redistribute the data. What type of data is described in this scenario?
Correct Answer:
- Open
Explanation: This describes open data, which is freely available to the public for reuse and redistribution.
Q9. A visitor to a company’s website is asked to provide consent for the company to use their data. The visitor wants to know how their data will be used and for how long it will be stored. Which aspect of data ethics are they curious about?
Correct Answer:
- Transaction transparency
Explanation: The visitor is asking for transparency regarding how their data will be used and stored, which is part of transaction transparency.
Q10. Data anonymization is a common practice used to protect sensitive information. Which of the following types of data should always be anonymized before analysis?
Correct Answer:
- Social security numbers and medical records
Explanation: Sensitive personal data such as social security numbers and medical records should always be anonymized to protect individuals’ privacy before being analyzed.
Prepare Data for Exploration Module 03 Quiz Answers
Test your knowledge on working with databases Quiz Answers
Q1. Fill in the blank: A relational database contains a series of _____ that can be connected to form relationships.
Correct Answer:
- tables
Explanation: A relational database consists of tables, which can be connected by keys to establish relationships between the data.
Q2. What is the term for an identifier that references a database column in which each value is unique?
Correct Answer:
- Primary key
Explanation: A primary key is a unique identifier for each record in a database table, ensuring that each value is distinct.
Q3. What process do data professionals use to eliminate data redundancy, increase data integrity, and reduce complexity in a database?
Correct Answer:
- Normalization
Explanation: Normalization is the process of organizing data in a database to minimize redundancy and dependency, thereby improving data integrity and reducing complexity.
Q4. Fill in the blank: When using a relational database, data analysts write _____ to request data from the related tables.
Correct Answer:
- queries
Explanation: Queries are written to retrieve data from the tables in a relational database, often using SQL (Structured Query Language).
Test your knowledge on metadata Quiz Answers
Q1. A large company has several databases across its many departments. What kind of metadata describes how many locations contain a certain piece of data?
Correct Answer:
- Administrative
Explanation: Administrative metadata includes information about the management of data, such as how many locations contain certain data or how data is maintained.
Q2. A large metropolitan high school gives each of its students an ID number to differentiate them in its database. What kind of metadata are the ID numbers?
Correct Answer:
- Structural
Explanation: Structural metadata describes the organization and structure of data, such as identifiers like student ID numbers that help to differentiate records.
Q3. An international nonprofit organization wants to merge third-party data with its own data. Which of the following actions will help make this process successful? Select all that apply.
Correct Answers:
- Use metadata to evaluate the third-party data’s quality and credibility.
- Use metadata to standardize the datasets.
Explanation: Using metadata to evaluate the quality and standardize the datasets helps ensure consistency and accuracy when merging third-party data with internal data.
Q4. Fill in the blank: Data _____ is a process data professionals use to ensure the formal management of their organization’s data assets.
Correct Answer:
- governance
Explanation: Data governance refers to the management and oversight of data within an organization, ensuring data quality, compliance, and proper handling.
Test your knowledge on accessing data sources Quiz Answers
Q1. What are some key benefits of open-data initiatives? Select all that apply.
Correct Answers:
- Support innovation and economic growth
- Make government activities more transparent
- Help educate citizens about important issues
Explanation: Open-data initiatives foster collaboration, innovation, transparency, and public education, contributing to a more informed and connected society.
Q2. What type of file saves data in a table format?
Correct Answer:
- Comma-separated values (.csv)
Explanation: A .csv file saves data in a table format where each piece of data is separated by a comma, making it easy to import into various programs.
Q3. Bringing data from a .csv file into a spreadsheet is an example of what process?
Correct Answer:
- Importing data
Explanation: Importing data refers to the process of transferring data from one format (like a .csv file) into another system or tool (like a spreadsheet).
Q4. In Google Sheets, what function enables a data analyst to specify a range of cells in one spreadsheet to be duplicated in another?
Correct Answer:
- IMPORTRANGE
Explanation: The IMPORTRANGE function in Google Sheets allows users to pull data from one spreadsheet and display it in another by specifying a range of cells.
Test your knowledge on sorting and filtering Quiz Answers
Q1. What is the process for arranging data into a meaningful order to make it easier to understand, analyze, and visualize?
Correct Answer:
- Sorting
Explanation: Sorting is the process of arranging data in a meaningful order, whether it’s ascending, descending, or based on other criteria, to make it easier to analyze.
Q2. A data analyst is reviewing a national database of real estate sales. They are only interested in sales of condominiums. How can the analyst narrow their scope?
Correct Answer:
- Filter out non-condominium sales
Explanation: Filtering out non-condominium sales allows the analyst to focus only on the data relevant to condominiums.
Q3. A data analyst works for a rental car company. They have a spreadsheet that lists car ID numbers and the dates cars were returned. How should they sort the spreadsheet to find the most recently returned cars?
Correct Answer:
- By return date, in descending order
Explanation: Sorting by return date in descending order will place the most recent return dates at the top of the list.
Q4. Fill in the blank: To keep a header row at the top of a spreadsheet, highlight the row and select _____ from the View menu.
Correct Answer:
- Freeze
Explanation: Freezing a header row ensures that it stays visible as you scroll through the rest of the data in the spreadsheet.
Test your knowledge on using SQL with large datasets Quiz Answers
Q1. Fill in the blank: When using SQL, the _____ clause can be used to filter a dataset of customers to only include people who have made a purchase in the past month.
Correct Answer:
- WHERE
Explanation: The WHERE clause in SQL is used to filter records based on a specified condition, such as customers who have made a purchase in the past month.
Q2. Which cases are most often used for column names in a database table and represent a SQL best practice? Select all that apply.
Correct Answer:
- Snake case
- Lowercase
Explanation: In SQL, it’s a best practice to use lowercase for column names and snake case (e.g.,first_name,order_date) for readability and consistency.
Q3. A database table is named WebTrafficAnalytics. What type of case is this?
Correct Answer:
- Camel case
Explanation: Camel case is used when each word after the first one begins with an uppercase letter, such asWebTrafficAnalytics.
Q4. What can be removed from the following query without preventing it from running or changing the results?
sqlCopy codeSELECT *
FROM `Uni_dataset.new_table`
WHERE ID = 'Lawrence'
Correct Answer:
- The asterisk ()
Explanation: The asterisk () in SQL means “select all columns.” While you can replace it with specific column names to improve query performance or readability, it does not affect the query’s ability to run or its results.
Prepare Data for Exploration Module 03 Challenge Quiz Answers
Q1. Fill in the blank: Data professionals use data _____ to control their company’s data and make sure data assets are formally managed.
Correct Answer:
- governance
Explanation: Data governance is the process used by data professionals to manage data assets, ensuring data is accurate, accessible, and secure within the organization.
Q2. A data professional at a bank uses metadata to track customer loan applications. They confirm the date and time applications were submitted. What type of metadata are they using?
Correct Answer:
- Administrative
Explanation: Administrative metadata provides information about the data’s creation, management, and maintenance, such as timestamps for when records were created or updated.
Q3. Which of the following statements accurately describe primary and foreign keys in a relational database? Select all that apply.
Correct Answer:
- Primary keys cannot contain null or blank values.
- A table can have multiple foreign keys.
- Primary keys are unique identifiers for each row in a table.
Explanation: - Primary keys uniquely identify records in a table and cannot be null.
- Foreign keys are used to link records between tables and a table can have multiple foreign keys.
Q4. A data analyst runs the following query. What do they want to retrieve from the database?
sqlCopy codeSELECT *
FROM CustomerOrders
WHERE Country = 'Finland';
Correct Answer:
- All fields of orders from customers in Finland
Explanation: The query filters theCustomerOrderstable to only include orders from customers located in Finland.
Q5. A junior data professional prepares for an analysis project about a very broad and global topic. However, they will only have access to internal data. What are some potential limitations that they should be aware of? Select all that apply.
Correct Answer:
- It will be more difficult to confirm the reliability of the data.
- It may be difficult to gather data from multiple departments.
- The data may not fully represent the facts.
Explanation: Internal data may not be comprehensive enough for broad analyses, especially when it lacks external data sources to provide full context or confirmation of reliability.
Q6. A data team at a trade school is sending a text alert to all students who have fewer than 10 credits. What spreadsheet tool will enable them to display only the students who meet that condition?
Correct Answer:
- Filter the data to show only students who have fewer than 10 credits
Explanation: Filtering the data will allow the team to focus only on the students with fewer than 10 credits.
Q7. A data team at a community center uses SQL to explore the data in its employee database. In particular, they want to examine the percent_participation field in the EmployeeTraining table. What query should they use to return only this information?
Correct Answer:
SELECT percent_participation FROM EmployeeTraining;
Explanation: This query selects only the percent_participation field from the EmployeeTraining table. The correct syntax for SQL is to specify the column(s) you want to return before the FROM keyword. The incorrect options provided do not specify the correct field or contain unnecessary elements.
Q8. Which SQL statement will return only elementary school students from the Grade column of the Students database table?
Correct Answer:
SELECT * FROM Students WHERE Grade = 'elementary';
Explanation: This query correctly filters the Students table to return only rows where the Grade column is equal to ‘elementary’. The WHERE clause is used to specify the condition, and the table name (Students) is placed before the WHERE clause, with the correct column (Grade) being compared to the string value ‘elementary’. The other options contain syntax errors or incorrect ordering of SQL clauses.
Q9. What are the benefits of open data for the public? Select all that apply.
Correct Answer:
- Improved understanding of government spending and opportunities to contribute to public planning.
- Increased public participation and improved decision making.
Explanation: Open data can help improve transparency and public participation. By making government data available to the public, people can better understand government activities, contribute to decision-making processes, and hold authorities accountable. The other options mentioning decreased participation or limited access contradict the principles of open data.
Q10. You are a database administrator for a hair salon that specializes in hair treatments and styling. The company is growing, and the number of customers the company needs to keep track of has increased. The limitations of the current database design have become more noticeable. There is a lot more repeated data, such as customer names, phone numbers, and email addresses. This redundancy is causing issues with data integrity and making queries slow. In the tables below what are the primary keys?
Customers Table
- customer_id
- first_name
- last_name
- phone_number
- email_address
Services Table
- services_id
- service_name
- service_price
- description
Correct Answer:
customer_idandservices_id
Explanation: In the given tables, the primary keys are the unique identifiers for each record.
customer_idin theCustomerstable is a unique identifier for each customer.services_idin theServicestable is a unique identifier for each service.
Primary keys are used to ensure data integrity and prevent redundancy. The other options mention fields that are not unique identifiers for records.
Prepare Data for Exploration Module 04 Quiz Answers
Test your knowledge on bringing data to order Quiz Answers
Question 1: Fill in the blank: Naming _____ are consistent guidelines used to describe the content, date, or version of a file.
Correct Answer:
- conventions
Explanation: Naming conventions refer to standardized rules for naming files, which help describe their content, date, or version in a consistent way. This ensures that files are easily identifiable and organized.
Question 2: What are the key goals of foldering in data analytics? Select all that apply.
Correct Answer:
- Organize files into subfolders
- Keep project-related files together
Explanation: Foldering in data analytics aims to efficiently organize files, keeping related files grouped together. This is essential for easy access and retrieval of data. The other options, such as transferring files and assigning metadata, are not directly related to the core purpose of foldering.
Question 3: What is the process of structuring folders broadly at the top, then breaking down those folders into more specific topics?
Correct Answer:
- Creating a hierarchy
Explanation: Creating a folder hierarchy is the process of organizing folders in a structured manner, starting with broad categories at the top and gradually breaking them down into more specific subfolders. This organization allows for easy navigation and management of files.
Question 4: Which of the following examples would be the most effective file name?
Correct Answer:
- AirportCampaign_2013_10_09_V01
Explanation: This file name is effective because it follows a clear and standardized format that includes the campaign name, date, and version. This makes it easy to identify and track the file. The other examples are either too vague or lack important details.
Test your knowledge on securing data Quiz Answers
Question 1: Fill in the blank: Data security involves adopting _____ in order to protect data from unauthorized access or corruption.
Correct Answer:
- safety measures
Explanation: Data security involves the use of various safety measures to prevent unauthorized access or corruption of data. These measures can include encryption, access control, and other protective strategies.
Question 2: What data-security measure uses a unique algorithm to alter data and make it inaccessible without the algorithm?
Correct Answer:
- Encryption
Explanation: Encryption uses algorithms to alter data into an unreadable format, ensuring that only authorized individuals with the correct decryption key can access the original data. This is a primary method for protecting sensitive information.
Question 3: When using tokenization as a safety measure, what is replaced as a randomly generated token?
Correct Answer:
- The data elements to be protected
Explanation: Tokenization replaces sensitive data elements (like credit card numbers or personal identifiers) with a randomly generated token. The original data is stored securely and only the token is used for processing, thus reducing the exposure of sensitive data.
Question 4: What data-security practice enables all collaborators within a file to track changes, such as who made what edits to the file, when they were made, and why?
Correct Answer:
- Version control
Explanation: Version control allows collaborators to track changes made to a file, including details about the person making the changes, the time they were made, and the reason for the changes. This practice is essential for collaboration and ensuring file integrity.
Prepare Data for Exploration Module 04 Challenge Quiz Answers
Question 1: You are in charge of your company’s weekly accounting spreadsheet. It has 15 sheets, each containing a different employee’s purchases. You add restrictions to the spreadsheet to make sure employees can only edit their own sheets. What practice does this scenario describe?
Correct Answer:
- Data security
Explanation: Data security involves implementing measures such as restrictions and access controls to protect data from unauthorized access or changes. In this scenario, adding restrictions to ensure employees can only edit their own sheets is a data security practice.
Question 2: What aspects of a file do file-naming conventions typically describe? Select all that apply.
Correct Answer:
- Content description
- Version number
- Creation date
Explanation: File-naming conventions help organize files by providing key information, such as the content description, version number, and creation date. This makes it easier to locate and understand the contents of a file without needing to open it.
Question 3: A data analyst team revisits an old project and wants to understand how the file-naming conventions are structured. Where does the team locate this information?
Correct Answer:
- In the metadata
Explanation: Metadata contains details about a file, including the structure and naming conventions used. When revisiting old projects, metadata is often where teams find this important organizational information.
Question 4: A grocery store collects inventory data about its produce section. What is an appropriate naming convention for this file?
Correct Answer:
- Produce_Inventory_2022-09-15_V01
Explanation: This naming convention includes a description of the file’s content (Produce Inventory), the date (2022-09-15), and a version number (V01). This structure provides clarity and helps keep files organized over time.
Question 5: Fill in the blank: A junior data analyst uses _____ to organize files in a way that keeps project-related files together.
Correct Answer:
- foldering
Explanation: Foldering is the process of organizing files into folders to ensure that project-related files are kept together and easy to access. This helps in maintaining file structure and organization.
Question 6: A marketing manager asks a data professional in human resources to share a spreadsheet. The spreadsheet contains four tabs. Tabs 1-3 are meant for the marketing manager to edit, but tab 4 contains sensitive employee information. Which of the following tactics will enable the data professional to keep tab 4 private? Select all that apply.
Correct Answer:
- Copy tabs 1-3 into a separate spreadsheet, then share the new file with the manager.
- Make a copy of the spreadsheet, delete tab 4, then share the new file with the manager.
Explanation: To keep sensitive information private, the data professional can either create a separate spreadsheet with just the relevant tabs or remove the sensitive tab before sharing. Hiding the tab is not a secure method since others can unhide it.
Question 7: A data team at a manufacturing company finishes a project about production rates, so they delete the related files. However, they are later tasked with another production project, which the deleted files could have informed. What should the data team have done with the original project files?
Correct Answer:
- Archive them
Explanation: Archiving the files would allow the data team to keep the data for future reference without cluttering active directories. This ensures that important information is preserved and easily retrievable when needed.
Question 8: Fill in the blank: To keep files organized, use a logical _____ to organize folders and subfolders.
Correct Answer:
- hierarchy
Explanation: A logical hierarchy helps structure folders and subfolders in a way that is easy to navigate, ensuring that files are organized and accessible according to their relevance and categories.
Frequently Asked Questions (FAQ)
Are the “Prepare Data for Exploration” quiz answers accurate?
Yes, these answers are thoroughly reviewed to match the current course material and ensure accuracy
Can I use these answers for both practice and graded quizzes?
Absolutely! These answers are suitable for both practice quizzes and graded quizzes, helping you prepare thoroughly for all assessments.
Does this post cover all modules of the course?
Yes, this guide includes answers for all modules, ensuring you’re prepared for every step of the course.
Conclusion
We hope this guide to the Prepare Data for Exploration quiz answers helps you ace your quizzes and gain a deeper understanding of data preparation techniques. Don’t forget to bookmark this page for future reference and share it with your peers. Ready to explore data with confidence? Let’s dive in!
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Foundations: Data, Data, Everywhere
All Course Quiz Answers of Google Data Analytics Professional Certificate
Course 01: Foundations: Data, Data, Everywhere
Course 02: Ask Questions to Make Data-Driven Decisions
Course 03: Prepare Data for Exploration
Course 04: Process Data from Dirty to Clean
Course 05: Analyze Data to Answer Questions
Course 06: Share Data Through the Art of Visualization
Course 07: Data Analysis with R Programming
Course 08: Google Data Analytics Capstone: Complete a Case Study