MCQs

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Overall MCQs for Reference

1. What is a live data feed in data science?
   a. Continuous stream of data updates in real-time
   b. Static dataset stored in a database
   c. Data generated periodically every month
   d. Manually curated report
   Answer: atechtarget+1​
2. Which is a primary use case of live data feeds?
   a. Real-time analytics and monitoring
   b. Archival storage
   c. Batch processing
   d. Manual data entry
   Answer: aredpanda+1​
3. What technology is commonly used to implement live data feeds?
   a. Streaming platforms (e.g., Apache Kafka)
   b. CSV file uploads
   c. Offline databases
   d. Printed reports
   Answer: adaloopa+1​
4. What is the main advantage of live data feeds over static datasets?
   a. Immediate insights from fresh data
   b. Lower storage cost
   c. Easier manual edits
   d. Less security risk
   Answer: aibm+1​
5. Which industry frequently uses live data feeds for financial trading analysis?
   a. Finance
   b. Agriculture
   c. Manufacturing
   d. Construction
   Answer: alseg+1​
6. What does a “publish and subscribe” (pub/sub) model refer to?
   a. Producers publish messages to topics, consumers subscribe for updates
   b. Only one user updates data
   c. All data is batch-processed
   d. Unstructured data dumps
   Answer: aconfluent+1​
7. Which of the following best describes “real-time data”?
   a. Data available for analysis immediately after generation
   b. Data recorded from past events
   c. Data stored on backup tapes
   d. Data summarized monthly
   Answer: aaws.amazon+1​
8. Which application commonly uses live data streams?
   a. Social media monitoring
   b. Written correspondence
   c. Telephone interviews
   d. Historical archives
   Answer: ainstaclustr+1​
9. Which element is NOT typically part of a live data feed pipeline?
   a. Streaming data source
   b. Static snapshot export
   c. Real-time analytics engine
   d. Data consumer service
   Answer: bredpanda+1​
10. Why is data integrity important in live data feeds?
    a. Prevents analytics errors due to anomalies
    b. Increases storage size
    c. Improves manual reporting
    d. Reduces data cost
    Answer: adaloopa+1​
11. Which protocol is often used for live market data feeds?
    a. API/WebSockets
    b. Fax
    c. Postal service
    d. Batch FTP
    Answer: alseg+1​
12. What role does “stream processor” serve in data feeds?
    a. Processes and aggregates data in real-time
    b. Archives old records
    c. Deletes user accounts
    d. Converts print to PDF
    Answer: aaws.amazon+1​
13. In the context of data feeds, what does “latency” refer to?
    a. Time delay between data creation and its availability
    b. Number of users
    c. Data redundancy
    d. Storage cost
    Answer: aredpanda+1​
14. Which is an example of a live data feed used in healthcare?
    a. Real-time patient vital monitoring
    b. Annual checkup records
    c. Insurance claim forms
    d. Printed prescription books
    Answer: aaws.amazon+1​
15. How does live data feed enhance e-commerce?
    a. Inventory and pricing updates for real-time offers
    b. Slower checkout process
    c. Manual discount coding
    d. Restricts product availability
    Answer: ainstaclustr+1​
16. What is “stateful processing” in live data streams?
    a. Maintaining information about past events over time
    b. Always discarding previous data
    c. Only storing batch records
    d. Using fixed, static values
    Answer: ainstaclustr​
17. What is required for reliable live data streaming?
    a. High-throughput ingestion and efficient processing algorithms
    b. Manual data entry
    c. Daily archiving
    d. Paper records
    Answer: aredpanda+1​
18. What safety mechanism checks live data feed health?
    a. Monitoring systems with automated alerts
    b. Manual file checks
    c. Insurance audits
    d. Annual data cleanup
    Answer: aibm+1​
19. Which is a use case of live data feeds in transportation?
    a. Real-time GPS tracking of vehicles
    b. Printed bus schedules
    c. Annual vehicle reports
    d. Manual logbooks
    Answer: aibm+1​
20. Live data feeds can be sourced from which of the following?
    a. IoT devices and sensors
    b. Printed forms
    c. Paper surveys
    d. Book publications
    Answer: alearn.microsoft+1​
21. Why do businesses use APIs for live data feeds?
    a. Seamless integration and automation
    b. Manual updates
    c. Paper documentation
    d. Static exports
    Answer: alearn.microsoft+1​
22. How can data stream “windowing” benefit analytics?
    a. Allows computations over rolling periods of data
    b. Stops data flow entirely
    c. Deletes historical data
    d. Restricts analytics to monthly cycles
    Answer: aaws.amazon+1​
23. Which of the following is NOT a benefit of live data feeds?
    a. Data is never updated after initial entry
    b. Enables instant decision-making
    c. Supports continuous insights
    d. Allows real-time alerts
    Answer: ainstaclustr+1​
24. What does data “ingestion” mean in live feeds?
    a. Collecting and importing data as it is generated
    b. Deleting all history
    c. Sending physical mail
    d. Only aggregating annual records
    Answer: aredpanda+1​
25. What is a message broker in live data feeds?
    a. Routes data from sources to consumers efficiently
    b. Sells physical newspapers
    c. Manages paper transactions
    d. Stores only static data
    Answer: aconfluent​
26. Which cloud service is often used for live data streaming?
    a. AWS Kinesis
    b. MS Word
    c. Excel offline
    d. Floppy disks
    Answer: aaws.amazon​
27. What is a data “sink” in the context of streaming feeds?
    a. The destination system or service for processed data
    b. Source device
    c. Temporary cache only
    d. Data entry form
    Answer: aredpanda+1​
28. Which sector uses live data feeds for fraud detection?
    a. Banking
    b. Carpentry
    c. Novel publishing
    d. Bookkeeping
    Answer: aaws.amazon+1​
29. In Power BI, live data streaming is used primarily for:
    a. Dashboard and visual updates in real time
    b. Printing reports
    c. Downloading offline data
    d. Emailing PowerPoints
    Answer: alearn.microsoft​
30. Which database is optimized for real-time analytics with live feeds?
    a. Real-time analytics database
    b. CD-ROM
    c. Tape archive
    d. Ledger book
    Answer: aredpanda​
31. What metric is critical for evaluating live data streams?
    a. Throughput and latency
    b. File size only
    c. Number of spreadsheets
    d. Printed reports per year
    Answer: aaws.amazon+1​
32. What is an example of a live data feed in meteorology?
    a. Real-time weather monitoring stations
    b. Last year’s almanac
    c. Printed climate summaries
    d. Daily handwritten logs
    Answer: aaws.amazon​
33. How are machine learning models used with live data feeds?
    a. Extract actionable insights from continuous data
    b. No use; models work only on static data
    c. Models are updated by hand
    d. Models predict using only old data
    Answer: adaloopa​
34. Which of the following tools is known for live data ingestion?
    a. Apache Kafka
    b. Adobe Photoshop
    c. Notepad
    d. Email client
    Answer: adaloopa+1​
35. What does “event-driven architecture” mean with respect to live feeds?
    a. System reacts to new events/data as they occur
    b. Waits for monthly summaries
    c. Only reads archived files
    d. Reacts annually
    Answer: aredpanda+1​
36. What are outliers in the context of live data feeds?
    a. Data points that deviate significantly and may indicate issues
    b. Most common values
    c. Calculated averages
    d. Predicted results
    Answer: adaloopa​
37. In live feeds, data reconciliation mechanisms serve to:
    a. Compare real-time feeds against end-of-day summaries for accuracy
    b. Discard all old data
    c. Archive manually
    d. Encrypt all messages
    Answer: adaloopa​
38. Which best describes “streaming ETL”?
    a. Real-time extraction, transformation, and loading as data is produced
    b. Only done at month-end
    c. Manually processing paper records
    d. Never updates data
    Answer: aaws.amazon​
39. In fraud detection, why are live feeds crucial?
    a. Detect suspicious activity as it happens
    b. Only review quarterly audits
    c. Wait for email alerts
    d. Review printed ledgers
    Answer: aredpanda+1​
40. What is one main risk associated with live data feeds?
    a. Potential data inconsistencies or delays
    b. Too much manual work
    c. Reduced interactivity
    d. Overreliance on print
    Answer: aibm+1​
41. What is “complex event processing” in stream analytics?
    a. Identifying patterns within streams to trigger instant actions
    b. Printing letters
    c. Scheduling monthly reviews
    d. Ignoring unseen data
    Answer: ainstaclustr​
42. Which is NOT a typical source for live data feeds?
    a. Social media APIs
    b. Weather sensors
    c. Data tapes
    d. IoT devices
    Answer: clearn.microsoft+1​
43. How do financial analysts use live data feeds?
    a. For real-time pricing, risk assessment, and trading
    b. For annual tax calculation only
    c. Only for expense reporting
    d. For budgeting stationery
    Answer: alseg+1​
44. Data validation checks in live feeds are designed to:
    a. Identify and flag anomalies or errors immediately
    b. Generate printouts
    c. Delete all entries
    d. Pause data flow
    Answer: aibm+1​
45. In customer service, live data feeds help by:
    a. Personalizing responses in real time based on current data
    b. Relying only on old info
    c. Generating printed thank-you notes
    d. Slowing support process
    Answer: ainstaclustr+1​
46. Live data feed processing is most challenged by:
    a. High data velocity and volume
    b. Manual transcription errors
    c. Low paper quality
    d. Frequent mail delivery
    Answer: ainstaclustr+1​
47. “Data consumer” in a live data feed system is:
    a. Application or service that uses the real-time data
    b. Source of data
    c. Manual entry operator
    d. Archive staff
    Answer: aconfluent+1​
48. What is a common challenge when scaling live data feeds?
    a. Maintaining low-latency under high load
    b. Printing larger reports
    c. Reduction in data points
    d. Less online access
    Answer: adaloopa+1​
49. Which of the following is a best practice for real-time data streaming?
    a. Ensuring high system throughput with minimal delays
    b. Relying only on monthly reports
    c. Prohibiting API use
    d. Ignoring data quality
    Answer: ainstaclustr+1​
50. What allows real-time dashboards to display continuously updating metrics?
    a. Integration of live data feeds into visualization tools
    b. Manual refreshes
    c. Static screenshots
    d. Printable charts
    Answer: alearn.microsoft+1​

1. https://www.techtarget.com/whatis/definition/data-feed
2. https://aws.amazon.com/what-is/real-time-data-streaming/
3. https://www.redpanda.com/guides/fundamentals-of-data-engineering-real-time-data-analytics
4. https://daloopa.com/blog/analyst-best-practices/how-to-use-real-time-market-data-feeds-in-financial-models
5. https://www.ibm.com/think/topics/real-time-data
6. https://www.lseg.com/en/data-analytics/market-data/data-feeds
7. https://www.confluent.io/learn/real-time-data-and-analytics/
8. https://www.instaclustr.com/education/real-time-streaming/real-time-data-streaming-4-use-cases-5-components-and-6-best-practices/
9. https://learn.microsoft.com/en-us/power-bi/connect-data/service-real-time-streaming
10. https://www.sanfoundry.com/1000-data-science-questions-answers/
11. https://www.interviewbit.com/data-science-mcq/
12. https://interviewkickstart.com/blogs/articles/data-science-mcq-answers
13. https://www.youtube.com/watch?v=DhP-RYwzUbA
14. https://www.placementpreparation.io/mcq/data-science/
15. https://www.gyansetu.in/blog/data-science-objective-type-mcq-quiz-interview-preparation/
16. https://www.scribd.com/document/705848941/Data-Science-MCQ-Questions-and-Answer-PDF
17. https://mentr-me.com/question/7-most-important-data-science-mcq-with-answers-pdf
18. https://www.simplilearn.com/tutorials/data-science-tutorial/data-science-interview-questions
19. https://github.com/bytewax/awesome-public-real-time-datasets
20. https://www.geeksforgeeks.org/blogs/data-stream-in-data-analytics/