MCQs

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Overall MCQs for Reference

Which of the following best describes unstructured data in data science?
a. Organized in tables
b. Follows a defined schema
c. Lacks a predefined format
d. Numeric only
Answer: c. Lacks a predefined formatdecodo+2
Which of the following is an example of unstructured data?
a. SQL database
b. Excel spreadsheet
c. Text documents and images
d. CSV file
Answer: c. Text documents and imagessanfoundry+2
The majority of organizational data (~80%) is:
a. Semi-structured
b. Structured
c. Unstructured
d. Categorical
Answer: c. Unstructureddecodo
A primary source of unstructured data is:
a. Relational databases
b. Text messages
c. Spreadsheets
d. Ledger books
Answer: b. Text messagesgyansetu+1
Unstructured data is mainly characterized by:
a. A rigid schema
b. Ease of search by SQL queries alone
c. Variety, volume, and velocity
d. Only numerical values
Answer: c. Variety, volume, and velocitydecodo
Which is typically NOT considered unstructured data?
a. Social media posts
b. Invoice in PDF
c. Weather data table
d. Web pages
Answer: c. Weather data tablesecuriti+1
What method is commonly used to analyze text-based unstructured data?
a. Regression analysis
b. Natural Language Processing (NLP)
c. Relational mapping
d. Histogram calculation
Answer: b. Natural Language Processing (NLP)gtbit+1
Which technology helps extract meaning from image and video data?
a. SQL
b. Computer Vision
c. Linear Regression
d. Excel Pivot Tables
Answer: b. Computer Visiongtbit
Which of the following is TRUE about unstructured data?
a. It is already in a format suitable for direct database storage
b. Requires preprocessing before analysis
c. Is mostly numerical
d. Contains very little information
Answer: b. Requires preprocessing before analysisaltexsoft+2
Unstructured data can be captured from:
a. Only sensors
b. Only relational tables
c. Audio files, images, emails
d. Only CSV files
Answer: c. Audio files, images, emailssciencedirect+2
Which storage system is well-suited for unstructured data?
a. Relational Database Management Systems (RDBMS)
b. Data Lakes
c. OLAP Cubes
d. Spreadsheets
Answer: b. Data Lakesaltexsoft
Which process involves grouping similar unstructured data points?
a. Classification
b. Clustering
c. SQL Join
d. Indexing
Answer: b. Clusteringscribd+1
A tweet on Twitter is an example of:
a. Structured data
b. Meta data
c. Unstructured data
d. Aggregated data
Answer: c. Unstructured datascribd+1
Which of the following best suits unstructured data processing?
a. Tabular normalization
b. Text mining
c. Pivot table analysis
d. Date transformation
Answer: b. Text mininggeeksforgeeks+1
Which is NOT a typical challenge with unstructured data?
a. Lack of consistency
b. High volume and variety
c. Easily managed by SQL queries
d. Complex extraction of information
Answer: c. Easily managed by SQL queriesaltexsoft+1
Which method is used to convert unstructured text into structured data for analysis?
a. Binning
b. Tokenization
c. Grouping
d. Pivoting
Answer: b. Tokenizationgeeksforgeeks
What kind of data do satellite images represent in data science?
a. Structured
b. Unstructured
c. Semi-structured
d. Categorized
Answer: b. Unstructuredsciencedirect
The process of labeling unstructured data with keywords to allow search is called:
a. Classification
b. Tagging
c. Encryption
d. Pivoting
Answer: b. Tagginggeeksforgeeks
Sentiment analysis is a technique commonly applied to:
a. Structured SQL tables
b. Numeric streams
c. Unstructured text data
d. Ordered arrays
Answer: c. Unstructured text datacouchbase+1
Which of the following is NOT an example of unstructured data?
a. Video files
b. Phone call audio
c. XML file
d. Handwritten notes
Answer: c. XML fileamygb
What is the first step in analyzing unstructured data for machine learning?
a. Data normalization
b. Feature extraction
c. Scaling
d. Hypothesis testing
Answer: b. Feature extractionscribd+1
Which industry handles a massive volume of unstructured customer feedback (reviews, complaints)?
a. Agriculture
b. Retail
c. Mining
d. Steel production
Answer: b. Retailkomprise+1
Social media analytics requires extracting patterns from:
a. Traditional databases
b. Unstructured data
c. Machine encoded numbers
d. Barcodes
Answer: b. Unstructured datasecuriti+1
Which of these formats is LEAST likely to be classified as unstructured?
a. Excel (.xlsx)
b. Email body text
c. MP3 audio
d. JPG photo
Answer: a. Excel (.xlsx)sanfoundry+1
Text classification is the process of:
a. Parsing log files
b. Automatically assigning categories to text data
c. Converting JSON to CSV
d. Clustering images
Answer: b. Automatically assigning categories to text datacouchbase+1
Which is true about semi-structured data?
a. Has both structured and unstructured elements
b. Is always binary
c. Is not human-readable
d. Lacks any tags or descriptors
Answer: a. Has both structured and unstructured elementsamygb
What type of database is suitable for storing unstructured data?
a. Relational Database
b. NoSQL Database
c. Time Series Database
d. OLAP Database
Answer: b. NoSQL Databasescribd+1
Machine learning applied to unstructured data typically requires:
a. One-hot encoding only
b. Schema design first
c. Preprocessing steps like vectorization
d. Pivoting
Answer: c. Preprocessing steps like vectorizationamygb+2
An email message, excluding its metadata, is an example of:
a. Structured data
b. Unstructured data
c. Weakly structured data
d. Ordered data
Answer: b. Unstructured datasciencedirect+1
Which of these is a typical output of unstructured data analysis?
a. SQL query
b. Trends or patterns
c. Primary keys
d. Barcodes
Answer: b. Trends or patternscouchbase+1
The level of organization in unstructured data is:
a. High
b. Very high
c. Very low
d. Medium
Answer: c. Very lowijcsit
Analyzing audio recordings for speech-to-text conversion is associated with:
a. Structured analytics
b. Unstructured data analytics
c. Categorical encoding
d. Data binning
Answer: b. Unstructured data analyticsamygb+1
What is a common use of clustering in unstructured data?
a. To group similar documents
b. To create database keys
c. To run RDBMS queries
d. To convert images to bytes
Answer: a. To group similar documentsscribd+1
Which is a major reason for using data lakes in unstructured data management?
a. Fixed schema requirements
b. Inflexibility with data types
c. Scalability for large raw data storage
d. Only for SQL data
Answer: c. Scalability for large raw data storagealtexsoft
Which action is LEAST associated with unstructured data analysis?
a. Sentiment mining
b. Statistical hypothesis test
c. Entity recognition
d. Image classification
Answer: b. Statistical hypothesis testcouchbase
The output format of unstructured data processing is often:
a. Directly usable database table
b. Features extracted for further analysis
c. Normalized SQL schema
d. Grouped metadata only
Answer: b. Features extracted for further analysisscribd+2
In which scenario is unstructured data particularly valuable?
a. Government census with fixed questions
b. Automated text-based customer service analysis
c. Weather table forecasting
d. Age and gender surveys
Answer: b. Automated text-based customer service analysiskomprise+2
A major challenge in using unstructured data is:
a. Too little information
b. Difficulty with manual search and analysis
c. Fixed, rigid storage size
d. Low variability
Answer: b. Difficulty with manual search and analysisaltexsoft+1
Which statement about the integration of unstructured data is correct?
a. It is never combined with structured data
b. Integration requires preconditioning and transformation
c. It is done automatically in all cases
d. Always faster than with structured data
Answer: b. Integration requires preconditioning and transformationamygb
What is the typical characteristic of unstructured data velocity?
a. Generated slowly
b. Generated at fixed daily intervals
c. Often generated in real time
d. Only generated monthly
Answer: c. Often generated in real timedecodo
Machine-generated unstructured data examples include:
a. Survey forms
b. Geospatial satellite data
c. Tax record spreadsheets
d. Database schemas
Answer: b. Geospatial satellite datasciencedirect
Which method is often combined with topic modeling in unstructured data?
a. Principal Component Analysis
b. Sentiment detection
c. SQL pivoting
d. Regression analysis
Answer: b. Sentiment detectioncouchbase
Which technique is central to extracting relationships in unstructured text?
a. Entity recognition
b. Integer encoding
c. Table linking
d. Inverted indexing
Answer: a. Entity recognitiongtbit+1
True or False: Unstructured data cannot exist in business analytics.
a. True
b. False
Answer: b. Falsekomprise+1
Which of these best illustrates big data in the context of unstructured information?
a. A census Excel table
b. A large collection of tweets, videos, and images
c. Sales transactions log
d. Bank branch numbers
Answer: b. A large collection of tweets, videos, and imagessecuriti+1
What is an immediate disadvantage of using only traditional RDBMS for unstructured data?
a. High cost analysis
b. Schema rigidity and storage limitations
c. Data is not accessible
d. Results are always inaccurate
Answer: b. Schema rigidity and storage limitationsaltexsoft+1
A business uses unstructured data to:
a. Manage payroll
b. Discover consumer sentiment
c. Run queries for compliance
d. Store fixed asset information
Answer: b. Discover consumer sentimentkomprise+2
What is the next step after feature extraction from unstructured data?
a. Classification or clustering
b. Schema normalization
c. Direct reporting
d. SQL joining
Answer: a. Classification or clusteringscribd+1
Text documents, emails, audio, images, and social media provide:
a. Only structured data
b. Only qualitative data
c. Unstructured data sources
d. Meta-analysis data
Answer: c. Unstructured data sourcessecuriti+2
Which tool would generally NOT be used for processing unstructured data?
a. Hadoop
b. NoSQL systems
c. RDBMS alone
d. NLP frameworks
Answer: c. RDBMS alonegtbit+2

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