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Overall MCQs for Reference
- What is the process of gathering data from different sources for analysis known as?
a. Data Visualization
b. Data Collection
c. Data Integration
d. Data Cleaning
Answer: b. Data Collectionexamveda - Which of the following is NOT a common source of data in data science?
a. Social media
b. Sensor feeds
c. Fiction books
d. Surveys
Answer: c. Fiction booksexamveda - In data collection, what does the term “primary data” refer to?
a. Data not used in analysis
b. Data collected first-hand by the researcher
c. Data taken from books and journals
d. Data from social networks only
Answer: b. Data collected first-hand by the researcherappliedaicourse+1 - Which of the following is a method of collecting secondary data?
a. Interviews
b. Existing databases
c. Experiments
d. Field surveys
Answer: b. Existing databasessimplilearn+1 - What is the process of cleaning and formatting raw data into a usable format called?
a. Data Sampling
b. Data Preprocessing
c. Data Warehousing
d. Data Visualization
Answer: b. Data Preprocessingexamveda - Which technique is used to address missing data by estimating and replacing absent values?
a. Data masking
b. Data transformation
c. Data imputation
d. Data logging
Answer: c. Data imputationexamveda - What does API stand for in the context of data collection?
a. Application Programming Interface
b. Analytical Processing Interface
c. Automated Programming Input
d. Applied Programming Index
Answer: a. Application Programming Interfaceexamveda - Which data collection method involves observing subjects without interference?
a. Controlled experiment
b. Naturalistic observation
c. Survey
d. Focus group
Answer: b. Naturalistic observationgeeksforgeeks+1 - What is the term for reducing dataset size while retaining essential characteristics?
a. Data wrangling
b. Data reduction
c. Data migration
d. Data mining
Answer: b. Data reductionexamveda - The removal of common words from text data during preprocessing is called:
a. Lemmatization
b. Tokenization
c. Stop-word removal
d. Feature engineering
Answer: c. Stop-word removalexamveda - Which of the following is a type of structured data?
a. Social media posts
b. Spreadsheet data
c. Audio recordings
d. Video files
Answer: b. Spreadsheet datasimplilearn+1 - What is the process of assigning codes or symbols to responses for ease of analysis?
a. Classification
b. Scoring
c. Coding
d. Tabulation
Answer: c. Codingtestbook - Which sampling method gives every item equal chance of selection?
a. Convenience sampling
b. Judgment sampling
c. Random sampling
d. Snowball sampling
Answer: c. Random samplingdatamites+1 - What type of data is collected through sensors in real-time applications?
a. Static data
b. Historical data
c. Real-time data
d. Primary data only
Answer: c. Real-time dataappliedaicourse - Which is a best practice before conducting full-scale data collection?
a. Running a pilot test
b. Removing all outliers
c. Only collecting from available data
d. Ignoring sampling bias
Answer: a. Running a pilot testdataguard - What is the role of objectives in data collection?
a. To restrict data types
b. To provide a roadmap for relevant data acquisition
c. To discard irrelevant data
d. To increase data redundancy
Answer: b. To provide a roadmap for relevant data acquisitionthoughtspot+1 - Focus groups are especially useful for collecting:
a. Quantitative data
b. Financial data
c. Qualitative data
d. Temporal data
Answer: c. Qualitative datageeksforgeeks+1 - What is a common online tool for conducting surveys?
a. Hadoop
b. SurveyMonkey
c. MySQL
d. Tableau
Answer: b. SurveyMonkeyappliedaicourse - Which method helps in tracking user interactions on websites?
a. Transactional tracking
b. Sampling
c. Tabulation
d. Randomization
Answer: a. Transactional trackingrudderstack - What is crucial for ensuring data accuracy during collection?
a. Using ambiguous questions
b. Allowing bias
c. Regular review of performance charts
d. Ignoring validation
Answer: c. Regular review of performance chartsrudderstack - Data validation means ensuring data is:
a. Beautiful and graphical
b. Accurate, complete, and consistent
c. Compressed for storage
d. Encrypted for security
Answer: b. Accurate, complete, and consistentrudderstack - The term “data wrangling” refers to:
a. Visualizing results
b. Transforming raw data into usable formats
c. Encrypting information
d. Discarding extra data
Answer: b. Transforming raw data into usable formatsappliedaicourse+1 - Which is an unstructured data source?
a. Database table
b. Email text
c. Excel spreadsheet
d. SQL dump
Answer: b. Email textgeeksforgeeks+1 - One of the challenges of survey data collection is:
a. High response rate
b. Sampling bias
c. Data redundancy
d. Duplicate entries
Answer: b. Sampling biasappliedaicourse - Data profiling is the process of:
a. Visualizing data
b. Statistical analysis and summarization of dataset features
c. Merging multiple sources
d. Formatting into tables
Answer: b. Statistical analysis and summarization of dataset featuresrudderstack - What does “data tabulation” refer to in data collection?
a. Collecting new data
b. Summarizing and condensing data in tables
c. Cleaning data
d. Data encryption
Answer: b. Summarizing and condensing data in tablestestbook - Which data collection method is most susceptible to interviewer bias?
a. Online surveys
b. Structured interviews
c. Focus groups
d. Automated data logging
Answer: b. Structured interviewssimplilearn+1 - Why is documenting data sources and methods essential in data collection?
a. To allow replication and transparency
b. To hide original sources
c. To make data anonymous
d. To recycle old data
Answer: a. To allow replication and transparencydatamites - In questionnaires, what kind of questions minimize ambiguity?
a. Leading questions
b. Open-ended questions
c. Clear and objective questions
d. Double-barreled questions
Answer: c. Clear and objective questionsrudderstack+1 - Data collected for a study and used to validate a hypothesis is called:
a. Secondary data
b. Primary data
c. Proxy data
d. Dummy data
Answer: b. Primary datasimplilearn+1 - Which method is suitable for collecting data where respondent anonymity is critical?
a. Personal interviews
b. Anonymous online surveys
c. Observation
d. Focus groups
Answer: b. Anonymous online surveysquestionpro+1 - What is “data sampling” used for?
a. Data storage only
b. Selecting a representative subset for analysis
c. Coding responses
d. Protecting privacy
Answer: b. Selecting a representative subset for analysisrudderstack - Which of the following increases data reliability?
a. Skipping data cleaning
b. Regular data maintenance and updates
c. Using only one data source
d. Avoiding pilot tests
Answer: b. Regular data maintenance and updatesrudderstack - “Snowball sampling” is best described as:
a. Random sampling
b. Sampling through referrals and networks
c. Preplanned sampling
d. Systematic sampling
Answer: b. Sampling through referrals and networksdatamites+1 - Collecting opinions and preferences is best done using:
a. Structured observational checklists
b. Questionnaires and surveys
c. Transaction logs
d. API calls
Answer: b. Questionnaires and surveysquestionpro+2 - Which storage method allows for easy updates and retrievals of collected data?
a. Flat text files
b. Spreadsheets
c. Database management systems
d. Paper records
Answer: c. Database management systemsrudderstack - Why is ethical consideration important in data collection?
a. To make the process lengthy
b. To ensure privacy, consent, and trust
c. To add complexity
d. To avoid open data
Answer: b. To ensure privacy, consent, and trustdataguard+1 - Using sensors for data collection is especially prominent in:
a. Artistic analysis
b. IoT and environmental monitoring
c. Literary research
d. Personality assessment
Answer: b. IoT and environmental monitoringappliedaicourse - During the data collection process, stakeholder engagement ensures:
a. Better alignment with objectives
b. Data inaccuracy
c. Data redundancy
d. Data bias
Answer: a. Better alignment with objectivesdataguard - Which method involves systematic selection of every nth item?
a. Stratified sampling
b. Cluster sampling
c. Systematic sampling
d. Random sampling
Answer: c. Systematic samplingsimplilearn - Data collected at a single point in time is called:
a. Cross-sectional data
b. Longitudinal data
c. Historical data
d. Aggregated data
Answer: a. Cross-sectional datasimplilearn - What does “metadata” refer to in a data collection context?
a. Data about other data
b. Synthetic data only
c. Unused data
d. Data archived for future use
Answer: a. Data about other dataappliedaicourse - A pilot test of survey instruments evaluates:
a. Data visualization needs
b. Instrument reliability and clarity
c. Database size
d. Sample bias only
Answer: b. Instrument reliability and claritydataguard+1 - Which is usually the first step in the data collection process?
a. Data cleaning
b. Tabulation
c. Defining objectives
d. Data profiling
Answer: c. Defining objectivesthoughtspot+1 - What is the goal of data anonymization?
a. Encrypting data
b. Removing identifiers to protect privacy
c. Data profiling
d. Improving readability
Answer: b. Removing identifiers to protect privacysimplilearn - Which of these is a limitation of using secondary data?
a. Costly collection
b. Specific to current research
c. May not be up-to-date or relevant
d. Easily customizable
Answer: c. May not be up-to-date or relevantappliedaicourse+1 - When data is collected and analyzed over regular intervals, it is termed:
a. Real-time data
b. Categorical data
c. Time series data
d. Survey data
Answer: c. Time series dataappliedaicourse - Why is randomization important in experimental data collection?
a. To simplify analysis
b. To eliminate bias in sample selection
c. To reduce the dataset size
d. To remove variables
Answer: b. To eliminate bias in sample selectiondatamites - Which factor improves data quality in data collection?
a. Regular audits and validation checks
b. Avoiding documentation
c. Isolating all data sources
d. Excluding outliers without reason
Answer: a. Regular audits and validation checksrudderstack - The final stage in a typical data collection workflow is:
a. Data visualization
b. Data warehousing
c. Data analysis
d. Documentation
Answer: c. Data analysisdataguard+1
- https://www.examveda.com/data-science/practice-mcq-question-on-data-collection-and-preprocessing/
- https://www.appliedaicourse.com/blog/what-is-data-collection/
- https://www.simplilearn.com/what-is-data-collection-article
- https://www.geeksforgeeks.org/data-analysis/methods-of-data-collection/
- https://testbook.com/objective-questions/mcq-on-data-collection-methods–5eea6a0a39140f30f369db77
- https://datamites.com/blog/beginners-guide-to-data-collection-in-data-science/
- https://www.dataguard.com/blog/data-collection-process-tools-and-software/
- https://www.thoughtspot.com/data-trends/data-science/data-collection
- https://www.rudderstack.com/learn/data-collection/methods-of-data-collection/
- https://www.rudderstack.com/learn/data-collection/data-collection-best-practices/
- https://www.questionpro.com/blog/data-collection-methods/
- https://www.sanfoundry.com/1000-data-science-questions-answers/
- https://interviewkickstart.com/blogs/articles/data-science-mcq-answers
- https://www.interviewbit.com/data-science-mcq/
- https://www.scribd.com/document/705848941/Data-Science-MCQ-Questions-and-Answer-PDF
- https://www.placementpreparation.io/mcq/data-science/
- https://byjus.com/commerce/mcqs-on-collection-of-data/
- https://www.datascience-pm.com/documentation-best-practices/
- https://byjus.com/maths/data-collection-methods/
- https://www.datamation.com/big-data/data-science-best-practices/