MCQs

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Overall MCQs for Reference

Which of the following best defines a dataset in data science?
a. A random collection of files
b. A structured collection of related data
c. A single piece of information
d. Only images and videos
Answer: b. A structured collection of related datasanfoundry+1
What is a primary data source?
a. Previously published reports
b. Data collected by someone else
c. Data collected firsthand by the researcher
d. Data from textbooks
Answer: c. Data collected firsthand by the researchertestbook
Which is an example of secondary data?
a. Survey responses you collected directly
b. National Census data
c. Observational field notes
d. An experiment you conduct
Answer: b. National Census datatestbook
Unstructured data typically refers to:
a. Numbers stored in a table
b. Alphabetically sorted data
c. Text documents and images
d. All datasets with missing values
Answer: c. Text documents and imagesincludehelp+1
What is a common file format for structured datasets?
a. JPEG
b. CSV
c. MP4
d. WAV
Answer: b. CSVincludehelp
What is data cleaning?
a. Removing only numerical data
b. The process of correcting or removing inaccurate data
c. Backing up the dataset
d. Sorting a dataset alphabetically
Answer: b. The process of correcting or removing inaccurate datasanfoundry
Which process involves gathering raw data from various sources?
a. Data mining
b. Data collection
c. Data visualization
d. Data analysis
Answer: b. Data collectioninterviewbit+1
Which of the following is NOT a type of dataset in data science?
a. Structured
b. Unstructured
c. Semi-structured
d. Imaginary
Answer: d. Imaginaryincludehelp
Data that possesses both structured and unstructured characteristics is called:
a. Mixed data
b. Semi-structured data
c. Categorical data
d. Quantitative data
Answer: b. Semi-structured dataincludehelp
Which software is commonly used to work with tabular datasets?
a. Photoshop
b. Tableau
c. Guitar Pro
d. Maya
Answer: b. Tableausanfoundry+1
What does ‘volume’ in big data refer to?
a. Type of data
b. Speed of data generation
c. Size of the dataset
d. Relevancy of data
Answer: c. Size of the datasetsanfoundry
Which method helps make sense of extremely large datasets?
a. Manual analysis
b. Machine learning
c. Ignoring data
d. Data hiding
Answer: b. Machine learninginterviewkickstart+1
To reduce dataset size for rapid processing, one often uses:
a. Data augmentation
b. Data sampling
c. Data corruption
d. Data confusion
Answer: b. Data samplinginterviewkickstart
Which metric is typically used to summarize a numerical dataset?
a. Font size
b. Mean
c. Directory path
d. Filename
Answer: b. Meanscribd
What is the main concern when handling sensitive datasets?
a. Data compression
b. Data privacy
c. Color coding
d. File extension
Answer: b. Data privacyincludehelp
How does semi-structured data differ from structured data?
a. Has only numeric values
b. Lacks all organizational schema
c. Has some organizational properties but not as rigid as structured data
d. Cannot include text
Answer: c. Has some organizational properties but not as rigid as structured dataincludehelp
The mean of a dataset is defined as:
a. The most frequent value
b. The difference between the largest and smallest values
c. The average value
d. The value at the center when ordered
Answer: c. The average valuescribd
What is a data frame in Python’s pandas library?
a. An image frame
b. A table-like data structure
c. A scripting error
d. A hardware frame
Answer: b. A table-like data structureinterviewbit+1
Which of the following is NOT an example of a dataset?
a. A table of sales records
b. A set of survey responses
c. Course notes in a notebook
d. A video game disc
Answer: d. A video game discincludehelp
Which of the following best describes data mesh?
a. Centralized data storage
b. Decentralized data architecture
c. Manual data entry
d. Temporary variable
Answer: b. Decentralized data architectureincludehelp
Which are the three main types of data mesh?
a. File-based, event-driven, query-enabled
b. Structured, unstructured, semi-structured
c. Primary, secondary, tertiary
d. Static, dynamic, mixed
Answer: a. File-based, event-driven, query-enabledincludehelp
Descriptive data analysis is used to:
a. Predict future trends
b. Summarize the raw dataset
c. Hide irrelevant data
d. Change the file format
Answer: b. Summarize the raw datasetincludehelp
Which type of data analysis finds the cause of events?
a. Diagnostic data analysis
b. Predictive analysis
c. Descriptive analysis
d. Prescriptive analysis
Answer: a. Diagnostic data analysisincludehelp
The main attribute of primary data is:
a. Always outdated
b. Directly collected by the researcher
c. Compressed and unstructured
d. Exists only as digital files
Answer: b. Directly collected by the researchertestbook
Which of the following measures skewness in a dataset?
a. Mean
b. Variance
c. Median
d. Skewness coefficient
Answer: d. Skewness coefficientgyansetu
A dataset with all numeric values grouped at one end is described as:
a. Balanced
b. Skewed
c. Dispersed
d. Uniform
Answer: b. Skewedgyansetu
What is the median in a dataset?
a. The highest value
b. The lowest value
c. The middle value
d. The arithmetic mean
Answer: c. The middle valuescribd
Which format is considered best for human and machine readability of datasets?
a. PDF
b. CSV
c. JPG
d. MP3
Answer: b. CSVincludehelp
What is data wrangling?
a. Storing the collected data
b. Collecting data from devices
c. Cleaning and transforming raw data into usable format
d. Backing up data
Answer: c. Cleaning and transforming raw data into usable formatinterviewkickstart+1
Which of the following is NOT a main type of data analysis?
a. Descriptive
b. Diagnostic
c. Predictive
d. Analogic
Answer: d. Analogicincludehelp
Which is NOT a property of a good data set?
a. Complete
b. Consistent
c. Outdated
d. Accurate
Answer: c. Outdatedincludehelp
Data mining is typically used to:
a. Store data safely
b. Discover patterns in large datasets
c. Format data for printing
d. Encrypt the dataset
Answer: b. Discover patterns in large datasetsinterviewbit+1
A categorical dataset contains:
a. Images only
b. Only numeric data
c. Values split into discrete groups
d. Unformatted binary data
Answer: c. Values split into discrete groupsincludehelp
What does ‘variety’ in big data describe?
a. The source of data
b. The number of rows
c. The different forms and types of data
d. File size
Answer: c. The different forms and types of datasanfoundry
Robust scaling is used to:
a. Increase dataset size
b. Remove features
c. Reduce the impact of outliers
d. Change text to numbers
Answer: c. Reduce the impact of outliersinterviewkickstart
Outliers in a dataset often:
a. Represent normal behavior
b. Have no effect on analysis
c. Distort summary statistics like mean
d. Are impossible to detect
Answer: c. Distort summary statistics like meaninterviewkickstart
Which of the following is a measure of the spread in a dataset?
a. Mean
b. Range
c. Mode
d. Sum
Answer: b. Rangescribd
Time-series datasets typically involve:
a. Data indexed by categories
b. Data indexed by timestamps or dates
c. Only categorical values
d. Only human names
Answer: b. Data indexed by timestamps or datesincludehelp
Data normalization ensures:
a. All data is in text format
b. Data distributions are standardized
c. Tables are unsorted
d. Datasets are encrypted
Answer: b. Data distributions are standardizedplacementpreparation
Which of the following is a common data reduction technique?
a. Data expansion
b. Dimensionality reduction
c. Data inflation
d. Data mixing
Answer: b. Dimensionality reductioninterviewkickstart
What is imputation in the context of a dataset?
a. Deleting all missing values
b. Replacing missing data with substituted values
c. Creating new columns
d. Renaming the dataset
Answer: b. Replacing missing data with substituted valuesincludehelp
A data frame with missing values can be analyzed by:
a. Deleting the entire dataset
b. Ignoring all columns
c. Imputing or removing missing values
d. Backing up files
Answer: c. Imputing or removing missing valuesinterviewbit+1
Which function in pandas can display the first few rows of a dataset?
a. head()
b. tail()
c. start()
d. list()
Answer: a. head()interviewbit
What is the significance of exploratory data analysis (EDA)?
a. Only cleaning data
b. Identifying patterns and anomalies in datasets
c. Encrypting the data
d. Deleting inconsistent data
Answer: b. Identifying patterns and anomalies in datasetsscribd+1
A labeled dataset contains:
a. Only text data
b. Features and known outcomes
c. Only random numbers
d. No structure
Answer: b. Features and known outcomesincludehelp
Which algorithm type is best suited to labeled datasets for prediction?
a. Unsupervised learning
b. Supervised learning
c. Random assignment
d. Guessing
Answer: b. Supervised learninginterviewbit+1
In data science, what is ‘metadata’?
a. Data collected from satellites
b. Data about data
c. Data that never changes
d. Old backup files
Answer: b. Data about dataincludehelp
What is an open dataset?
a. A dataset available for public use
b. Data with no structure
c. Confidential data shared with no restrictions
d. Data with errors
Answer: a. A dataset available for public usekaggle
A dataset commonly used for image classification benchmarking is:
a. MNIST
b. House Prices
c. Titanic
d. Boston Housing
Answer: a. MNISTkaggle
The best approach to normalize a column with skewed numerical data in a dataset is:
a. Drop outliers
b. Use log transformation
c. Encode values numerically
d. Sort values ascending
Answer: b. Use log transformationplacementpreparation

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