70 Data Analytics Objective Type Quiz & MCQs with Answers for Interview Preparation

Want to crack your next analytics interview? Master these 70 multiple-choice questions on Data Analytics, covering core concepts, tools, and real-world use cases.

 Section 1: Introduction to Data Analytics

Q1. What is the primary goal of Data Analytics?
a) Increase website traffic
b) Extract useful insights from data
c) Manage servers
d) Design graphics
Answer: b) Extract useful insights from data

Q2. Which of these is a type of Data Analytics?
a) Quantitative Analytics
b) Predictive Analytics
c) Comparative Analytics
d) Behavioral Analytics
Answer: b) Predictive Analytics

Q3. Descriptive Analytics focuses on:
a) Future trends
b) Data visualization
c) Past performance
d) Automation
Answer: c) Past performance

Q4. What type of analytics answers “What is likely to happen?”
a) Diagnostic
b) Descriptive
c) Predictive
d) Prescriptive
Answer: c) Predictive

Q5. Which analytics helps in decision-making by suggesting actions?
a) Diagnostic
b) Prescriptive
c) Predictive
d) Historical
Answer: b) Prescriptive

Section 2: Data Collection & Sources

Q6. What is the first step in the data analytics process?
a) Data modeling
b) Data collection
c) Data visualization
d) Decision-making
Answer: b) Data collection

Q7. Which of the following is NOT a data source?
a) Sensors
b) Web logs
c) Telemetry
d) Illustrator
Answer: d) Illustrator

Q8. Structured data is best stored in:
a) Excel
b) SQL databases
c) Images
d) PDFs
Answer: b) SQL databases

Q9. Which of the following is unstructured data?
a) CSV files
b) SQL tables
c) Text messages
d) Excel sheets
Answer: c) Text messages

Q10. APIs are used to:
a) Build websites
b) Communicate with databases
c) Automate data extraction
d) Write JavaScript
Answer: c) Automate data extraction

Section 3: Data Cleaning & Preparation

Q11. What is data cleaning?
a) Formatting code
b) Removing errors and inconsistencies
c) Training models
d) Encrypting files
Answer: b) Removing errors and inconsistencies

Q12. Missing values can be handled by:
a) Deletion
b) Mean imputation
c) Using ML techniques
d) All of the above
Answer: d) All of the above

Q13. What is data normalization?
a) Removing rows
b) Scaling data
c) Encoding text
d) Plotting graphs
Answer: b) Scaling data

Q14. What does ETL stand for?
a) Extract, Transform, Load
b) Edit, Tag, Load
c) Encode, Transfer, Learn
d) Extract, Tag, Load
Answer: a) Extract, Transform, Load

Q15. Which technique converts text into numerical format?
a) Tokenization
b) Label Encoding
c) Normalization
d) PCA
Answer: b) Label Encoding

Section 4: Tools & Technologies

Q16. Which of these is NOT a data analytics tool?
a) Tableau
b) Python
c) Excel
d) CorelDRAW
Answer: d) CorelDRAW

Q17. Power BI is developed by:
a) Google
b) Apple
c) Microsoft
d) IBM
Answer: c) Microsoft

Q18. Which tool is widely used for spreadsheet analysis?
a) Photoshop
b) Excel
c) AutoCAD
d) SAP
Answer: b) Excel

Q19. SQL is used for:
a) Visualization
b) Data extraction
c) Email marketing
d) Video editing
Answer: b) Data extraction

Q20. Which library is popular in Python for data analysis?
a) Matplotlib
b) Seaborn
c) Pandas
d) Tkinter
Answer: c) Pandas

Section 5: Data Visualization

Q21. What is the purpose of data visualization?
a) Cleaning data
b) Modeling data
c) Making data understandable
d) Encrypting data
Answer: c) Making data understandable

Q22. Which chart is used for time series data?
a) Pie chart
b) Line chart
c) Bar chart
d) Scatter plot
Answer: b) Line chart

Q23. A heatmap is used to visualize:
a) Errors
b) Trends
c) Correlations
d) Tables
Answer: c) Correlations

Q24. What does a box plot indicate?
a) Mean only
b) Data distribution
c) Class labels
d) Graph styling
Answer: b) Data distribution

Q25. Pie charts are ideal for showing:
a) Time
b) Quantity
c) Proportions
d) Colors
Answer: c) Proportions

Section 6: Statistics & Analysis

Q26. What is mean?
a) Most frequent value
b) Middle value
c) Sum of values divided by count
d) Largest value
Answer: c) Sum of values divided by count

Q27. What does standard deviation represent?
a) Central tendency
b) Skewness
c) Spread of values
d) Mean
Answer: c) Spread of values

Q28. Median is the:
a) Highest value
b) Lowest value
c) Middle value
d) Sum of squares
Answer: c) Middle value

Q29. Which graph shows frequency distribution?
a) Pie chart
b) Histogram
c) Line graph
d) Heatmap
Answer: b) Histogram

Q30. What is regression used for?
a) Classification
b) Clustering
c) Predicting continuous values
d) Encoding text
Answer: c) Predicting continuous values

Section 7: Advanced Techniques

Q31. What is A/B testing?
a) Encryption method
b) Data labeling
c) Comparison between two options
d) Graph plotting
Answer: c) Comparison between two options

Q32. What is correlation?
a) Noise
b) Error
c) Relationship between variables
d) Sorting method
Answer: c) Relationship between variables

Q33. R2 score is used in:
a) Classification
b) Regression
c) Clustering
d) NLP
Answer: b) Regression

Q34. What is clustering?
a) Grouping similar data points
b) Predicting classes
c) Detecting outliers
d) Text mining
Answer: a) Grouping similar data points

Q35. PCA is used for:
a) Normalization
b) Outlier detection
c) Dimensionality reduction
d) Data entry
Answer: c) Dimensionality reduction

Section 8: Programming & SQL

Q36. What is the extension of a Python file?
a) .xlsx
b) .csv
c) .py
d) .doc
Answer: c) .py

Q37. Which SQL command is used to retrieve data?
a) SELECT
b) FETCH
c) RETURN
d) GET
Answer: a) SELECT

Q38. Python is:
a) Compiled
b) Interpreted
c) Both
d) None
Answer: b) Interpreted

Q39. The Python function for average is:
a) avg()
b) sum()
c) mean()
d) average()
Answer: c) mean()

Q40. Which SQL clause is used to group results?
a) SORT
b) WHERE
c) GROUP BY
d) SUM
Answer: c) GROUP BY

Section 9: Case Studies & Business Use

Q41. In retail, data analytics is used for:
a) Designing brochures
b) Pricing strategy
c) Writing blogs
d) App design
Answer: b) Pricing strategy

Q42. In healthcare, analytics helps in:
a) Diagnosing patients
b) Chatting
c) Drawing icons
d) Fixing cables
Answer: a) Diagnosing patients

Q43. Which company uses analytics for movie recommendations?
a) Uber
b) Netflix
c) Walmart
d) YouTube
Answer: b) Netflix

Q44. In banking, analytics helps in:
a) Fraud detection
b) Layout design
c) Customer greeting
d) Saving bills
Answer: a) Fraud detection

Q45. Ecommerce uses analytics for:
a) Coding
b) Personalization
c) Customer registration
d) Speed optimization
Answer: b) Personalization

Section 10: Miscellaneous

Q46. Which of the following is NOT a Big Data characteristic?
a) Volume
b) Velocity
c) Variety
d) Versioning
Answer: d) Versioning

Q47. What does KPI stand for in analytics?
a) Key Performance Indicator
b) Knowledge Performance Input
c) Key Predictive Insight
d) Knowledge Per Index
Answer: a) Key Performance Indicator

Q48. Which of the following is an open-source data visualization tool?
a) Tableau
b) Power BI
c) QlikView
d) Apache Superset
Answer: d) Apache Superset

Q49. What is the main focus of diagnostic analytics?
a) Predicting future outcomes
b) Understanding what happened
c) Recommending actions
d) Understanding why something happened
Answer: d) Understanding why something happened

Q50. What is the role of a data analyst?
a) Building front-end apps
b) Designing logos
c) Interpreting and analyzing data to support decision-making
d) Installing hardware
Answer: c) Interpreting and analyzing data to support decision-making

Q51. Which is NOT an example of categorical data?
a) Gender
b) Blood group
c) Number of employees
d) Nationality
Answer: c) Number of employees

Q52. In Python, which function is used to read a CSV file?
a) read.text()
b) read()
c) pandas.read_file()
d) pandas.read_csv()
Answer: d) pandas.read_csv()

Q53. Which cloud platform offers BigQuery for analytics?
a) AWS
b) Azure
c) Google Cloud
d) IBM Watson
Answer: c) Google Cloud

Q54. What is outlier detection used for?
a) Compressing data
b) Handling missing values
c) Identifying abnormal values
d) Sorting datasets
Answer: c) Identifying abnormal values

Q55. Which statistical method is used to compare two means?
a) ANOVA
b) Regression
c) t-test
d) Chi-square
Answer: c) t-test

Q56. Which of these is a supervised learning algorithm often used in analytics?
a) K-Means
b) DBSCAN
c) Decision Trees
d) PCA
Answer: c) Decision Trees

Q57. What is the primary advantage of real-time analytics?
a) Faster modeling
b) Increased storage
c) Instant decision-making
d) Data compression
Answer: c) Instant decision-making

Q58. Which of the following is NOT a step in CRISP-DM methodology?
a) Business Understanding
b) Data Preparation
c) Data Visualization
d) Deployment
Answer: c) Data Visualization

Q59. What does the term “data pipeline” refer to?
a) Network cable
b) Sequence of data processing steps
c) Storage unit
d) Type of machine learning model
Answer: b) Sequence of data processing steps

Q60. What does NoSQL stand for?
a) Not Only SQL
b) No Structured Query Language
c) Non-Operational SQL
d) Neutral Object SQL
Answer: a) Not Only SQL

Q61. Which company developed the Hadoop framework?
a) Facebook
b) Microsoft
c) Yahoo
d) Google
Answer: c) Yahoo

Q62. Which of the following measures skewness in a dataset?
a) Variance
b) Mean
c) Median
d) Skewness coefficient
Answer: d) Skewness coefficient

Q63. Which SQL function is used to count rows?
a) COUNT()
b) TOTAL()
c) SUM()
d) LENGTH()
Answer: a) COUNT()

Q64. What type of data is “temperature recorded every hour”?
a) Categorical
b) Time-series
c) Ordinal
d) Nominal
Answer: b) Time-series

Q65. A confusion matrix is used in:
a) Regression
b) Clustering
c) Classification
d) Dimensionality reduction
Answer: c) Classification

Q66. In Excel, what function is used to find the average?
a) COUNT()
b) MEAN()
c) AVERAGE()
d) AVG()
Answer: c) AVERAGE()

Q67. What is Z-score used for?
a) Standardization
b) Categorization
c) Time series forecasting
d) Color coding
Answer: a) Standardization

Q68. Which method helps reduce the number of variables in a dataset?
a) Label Encoding
b) Cross Validation
c) Principal Component Analysis
d) Tokenization
Answer: c) Principal Component Analysis

Q69. What is a dashboard in analytics?
a) Server manager
b) Visual interface for monitoring data
c) Text-only report
d) Data encryption method
Answer: b) Visual interface for monitoring data

Q70. The process of evaluating model accuracy is called:
a) Model enhancement
b) Model validation
c) Data preparation
d) Feature engineering
Answer: b) Model validation

Conclusion

Cracking analytics interviews isn’t about memorization—it’s about clarity of concepts.
These 70 MCQs on Data Analytics cover everything from data collection, cleaning, and visualization to business cases, SQL, and statistics. Revisit them, take notes, and practice consistently to ace your next role in the world of data!

Mastering these 70 Data Analytics MCQs will strengthen your basics, sharpen your concepts, and help you confidently tackle interviews.

Whether you’re preparing for your first role or upskilling, understanding data collection, visualization, tools, and business applications is key to becoming a pro in the data-driven world.