WorksheetsData Science - Chapter 1 Long Test
Total questions: 40
Worksheet time: 20mins
How does Emma show curiosity as a data scientist?
By creating reports without feedback
By asking clients “why” and “how” questions
By applying the same model each time
By avoiding meetings with stakeholders
What is the first step Emma takes when working on a project?
Collecting survey responses
Creating a dashboard
Clarifying the client’s business problem
Running a machine learning model
Which tools might Emma use for complex data transformations?
Canva and Photoshop
Talend and Informatica
Tableau and Power BI
Zoom and MS Teams
Which programming language does Emma prefer for modeling?
Python
PHP
Java
C++
Which tools does Emma use to create reports and dashboards?
Photoshop, Canva, and Figma
SQL, Hadoop, and Spark
Tableau, Power BI, and QlikView
Word, PowerPoint, and Publisher
In Emma’s project, data transformation and exploratory data analysis (EDA) serve the same purpose, so performing one makes the other unnecessary.
True
False
Emma’s ability to ask “why” and “how” questions is considered a technical skill
True
False
In Emma’s workflow, data acquisition can only be performed manually through surveys or interviews with clients.
True
False
XML files use predefined tags like <p> and <h1> from HTML, making them less flexible.
True
False
PDF files are frequently used in data science for analytics because they are highly structured and easy to process.
True
False
Data science is transforming how organizations make decisions, but it does not change how they understand the world.
True
False
The first step of the data science process is to collect as much data as possible before clarifying the problem.
True
False
Even if Emma selects the best-performing machine learning model, poor communication of results could make her work ineffective for the client.
True
False
The role of the data scientist can be compared to that of a detective, uncovering hidden patterns and guiding decisions.
True
False
High achievers in the student studies preferred practice tests as a review method, showing how pattern recognition can reveal unexpected findings.
True
False
XLSX files, unlike CSVs, can support multiple worksheets, formulas, and pivot tables.
True
False
A strength of XML is that it is platform- and language-independent, which makes it excellent for sharing data between systems.
True
False
JSON stores data as key–value pairs, making it both lightweight and easy to parse by most programming languages.
True
False
Data cleaning may involve correcting misspelled attributes, removing duplicates, and filling in missing values.
True
False
A data scientist who fails to communicate insights effectively leaves their findings essentially useless.
True
False
Which example shows data transformation in Emma’s project?
Asking stakeholders to provide more survey responses
Deleting entire datasets that seem unnecessary
Copying results into PowerPoint slides for presentation
Converting dates into a standard format across all records
Which of the following is the main goal of Exploratory Data Analysis (EDA) in Emma’s project?
To identify patterns and refine variables before modeling
To test whether the client agrees with her assumptions
To reduce the size of the dataset for faster storage
To replace missing values with zeros by default
Which scenario shows Emma using logistic regression appropriately?
Identifying which products often appear together in shopping carts
Predicting whether students will pass or fail an exam
Grouping customers into clusters based on purchase history
Recommending movies based on viewing history
Which real-world example illustrates model deployment?
A student calculating GPA manually with a calculator
A teacher posting grades on the bulletin board
A bank using a fraud detection system to flag suspicious transactions
A developer editing images using graphic design tools
Which sequence correctly represents Emma’s data science workflow?
Clarify → Collect → Clean/Transform → EDA → Model → Communicate → Deploy → Monitor
Clean/Transform → Communicate → EDA → Collect → Model → Deploy → Monitor → Clarify
Collect → Model → Clean/Transform → Deploy → Clarify → Communicate → EDA → Monitor
Monitor → Deploy → Model → Clarify → Collect → Communicate → Clean/Transform → EDA
Which punctuation mark is most commonly used as the delimiter in a CSV file?
Tab
Semicolon
Comma
Space
Which symbol is used as the delimiter in a TSV file?
Colon
Tab
Vertical bar
Comma
Which best describes the main function of CSV and TSV files?
To represent data in plain text rows, separated by delimiters
To transmit hierarchical data using user-defined tags
To store complex data relationships with formulas and macros
To preserve document formatting across multiple devices
Why has JSON become the standard for web services and APIs?
It uses predefined HTML tags for storing data
It is used mainly to design user interfaces
It can only be read by JavaScript and not by other languages
It is more concise, lightweight, and easier to parse than XML
Why are PDFs not commonly used for direct data analysis?
They preserve formatting but are difficult to extract structured data from
They require a specific programming language to open
They are incompatible with legal and financial industries
They are too large to be shared
Which example reflects unstructured data that a data scientist might analyze?
Exam scores stored in a gradebook
Customer complaints in social media posts
Employee payroll records in spreadsheets
Sales transactions recorded in a database
Which sequence correctly follows the data science process?
Clarify → Collect → Analyze → Communicate
Collect → Clarify → Model → Communicate
Analyze → Clarify → Collect → Monitor
Collect → Model → Deploy → Clarify
Which tool would be most suitable for helping stakeholders see and act on insights?
Notepad
Power BI
Spreadsheet
Calculator
According to Professor Murtaza Haider, which quality ensures a data scientist continues asking meaningful questions?
Argumentation
Flexibility
Curiosity
Judgment
Which quality enables a data scientist to refine assumptions as new data emerges?
Argumentation
Inflexibility
Judgment
Rigidity
Which dataset is considered structured?
A transcript of an interview saved as a Word document
A sales database with product IDs, prices, and quantities
A folder of digital photos from a school event
A collection of YouTube video uploads
Which of the following is NOT an example of structured data?
Library catalog entries stored in a relational database
Payroll records with employee IDs and monthly salaries
Online survey results exported as CSV files
Recorded classroom lectures stored as MP4 files
Which dataset would a data scientist classify as structured?
Voice notes recorded by doctors describing patient symptoms
A healthcare database listing patient IDs, age, and blood pressure readings
CT scan images stored in a hospital’s image archive
Patient complaints expressed as handwritten forms scanned into PDFs
Which of the following is structured?
Classroom debates recorded as MP3 files
Essays submitted by students in Word documents
Research posters photographed at a school event
Student names, IDs, and grades stored in Excel
Which dataset is structured rather than unstructured or semi-structured?
SQL database tables with student exam scores
JSON output listing user activity logs
Blog posts describing student experiences
XML files containing nested tags for course descriptions
