MCQs

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Overall MCQs for Reference

1. What does a Delta Load primarily refer to in data engineering and machine learning?
   a. Loading all data every time
   b. Extracting only changed data since last load
   c. Loading only deleted records
   d. Loading only metadata
   Answer: b. Extracting only changed data since last loaddataengineering​
2. Which column is most essential for implementing a Delta Load?
   a. Description
   b. Modified_at (timestamp)
   c. Name
   d. Category
   Answer: b. Modified_at (timestamp)dataengineering​
3. What is the initial data load called before using Delta Load in regular ingestion?
   a. Incremental load
   b. Full load
   c. Partial load
   d. Lazy load
   Answer: b. Full loaddataengineering​
4. What type of query is commonly used for Delta Load extraction?
   a. SELECT * FROM source
   b. Query filtering by max timestamp or ID
   c. COUNT(*) FROM target
   d. JOIN source and target
   Answer: b. Query filtering by max timestamp or IDdataengineering​
5. Delta Load is also known as:
   a. Batch load
   b. Incremental load
   c. Complete load
   d. Metadata load
   Answer: b. Incremental loadreddit+1​
6. A Delta Load process may miss capturing which type of data change?
   a. Newly created records
   b. Updated records
   c. Deleted records
   d. Records with no changes
   Answer: c. Deleted recordsdataengineering​
7. Which system feature does Delta Lake use to optimize delta loads?
   a. Flat files
   b. Transaction logs
   c. Direct queries
   d. Append-only mode
   Answer: b. Transaction logsdelta+1​
8. In a typical Delta Load, the target table is checked for which value?
   a. Maximum length of a string
   b. Maximum value of an incrementing column
   c. Minimum value of a column
   d. Null values
   Answer: b. Maximum value of an incrementing columndataengineering​
9. Delta Load advantages include:
   a. Requiring full dataset each time
   b. High overhead
   c. Resource efficiency
   d. No need for metadata
   Answer: c. Resource efficiencydataengineering​
10. Delta Load is commonly used in which scenario?
    a. Real-time video streaming
    b. Periodic ETL pipelines
    c. Manual file uploads
    d. Online transaction processing
    Answer: b. Periodic ETL pipelinesdatabricks+1​
11. Which technology supports both batch and streaming Delta Loads?
    a. Hadoop MapReduce
    b. Delta Lake with Apache Spark
    c. SQL Server Integration Services (SSIS) only
    d. Traditional RDBMS
    Answer: b. Delta Lake with Apache Sparkdatacamp+1​
12. What is a common disadvantage of Delta Load?
    a. Never requires extra metadata
    b. Does not capture multiple updates between polls
    c. Can capture all changes including deletes
    d. Requires full dataset comparison
    Answer: b. Does not capture multiple updates between pollsdataengineering​
13. Which statement about Delta Load is TRUE?
    a. It loads all records from the source every time
    b. It loads only new or updated records since last run
    c. It deletes all records before loading
    d. It never uses timestamps
    Answer: b. It loads only new or updated records since last runlearn.microsoft+1​
14. What is the primary goal of Delta Load in ETL workflows?
    a. Increase data redundancy
    b. Minimize processing time and resources
    c. Eliminate unique keys
    d. Load data randomly
    Answer: b. Minimize processing time and resourceshevodata+1​
15. Delta Load can impact the database in what way?
    a. No effect on performance
    b. Can slow down performance due to frequent queries for changes
    c. Always increases speed
    d. Only impacts memory
    Answer: b. Can slow down performance due to frequent queries for changesdataengineering​
16. Which Delta Lake feature allows recovery to earlier states for audit or debugging?
    a. Schema evolution
    b. Time travel
    c. Data deletion
    d. Partitioning
    Answer: b. Time traveldatacamp​
17. In a Delta Load, if the polling interval is long and multiple updates occur, what happens?
    a. Only the latest version is captured
    b. All intermediate changes are captured
    c. No updates are captured
    d. All deleted records are captured
    Answer: a. Only the latest version is capturedreddit+1​
18. Delta Loads are better suited for which environments?
    a. Static datasets
    b. Frequently changing datasets
    c. Single-use reports
    d. Encrypted data only
    Answer: b. Frequently changing datasetsdatabricks+1​
19. Which of the following best describes incremental data ingestion via Delta Load?
    a. All records extracted
    b. Only records with new or greater values in specified columns
    c. Columns removed after each run
    d. No schema evolution supported
    Answer: b. Only records with new or greater values in specified columnsdataengineering​
20. Which workflow stage typically uses a Delta Load?
    a. Initial full ingestion
    b. Ongoing incremental updates post-initial ingestion
    c. Data backup
    d. Report generation
    Answer: b. Ongoing incremental updates post-initial ingestionlearn.microsoft+1​
21. To ensure Delta Load, the dataset must have which property?
    a. Duplicate rows
    b. Unique identifier or timestamp
    c. No index column
    d. Randomized order
    Answer: b. Unique identifier or timestampdataengineering​
22. Which architecture benefits from Delta Load approach?
    a. Star Schema only
    b. Medallion architecture in lakehouse implementations
    c. Snowflake schema only
    d. Monolithic servers
    Answer: b. Medallion architecture in lakehouse implementationsdatacamp​
23. What should be done before applying the first Delta Load?
    a. Run a full data load
    b. Delete all existing data
    c. Apply schema changes only
    d. Archive target table
    Answer: a. Run a full data loaddataengineering​
24. Which data processing paradigm is compatible with Delta Load?
    a. Batch processing only
    b. Streaming processing only
    c. Both batch and streaming
    d. None
    Answer: c. Both batch and streamingdelta+1​
25. Which operation does NOT occur in typical Delta Load pipelines?
    a. Filter source records on changed timestamps
    b. Load all rows each run
    c. Query destination for last loaded value
    d. Commit only changed records to target
    Answer: b. Load all rows each rundataengineering​
26. Delta Load implementations are most commonly seen in tools for:
    a. Only in cloud data warehouses
    b. ETL platforms and data lakes
    c. Hand-coded Python scripts only
    d. Spreadsheet programs
    Answer: b. ETL platforms and data lakesdelta+2​
27. What outcome is expected with correct Delta Load implementation?
    a. Data volume in target remains constant
    b. Target contains latest record state for each ID or timestamp
    c. Only delete operations
    d. Maximized data duplication
    Answer: b. Target contains latest record state for each ID or timestampdataengineering​
28. Which of the following is NOT an advantage of Delta Load?
    a. Resource efficiency
    b. Easy to maintain
    c. Captures all deletes automatically
    d. Only requires read permissions
    Answer: c. Captures all deletes automaticallydataengineering​
29. For a Delta Load, how is the source table queried?
    a. For data less than last loaded value
    b. For data greater than last loaded value
    c. For all data every time
    d. For random columns
    Answer: b. For data greater than last loaded valuedataengineering​
30. What must be present in the source for Delta Load to work reliably?
    a. No duplicate records
    b. A column with incrementing or timestamp values
    c. All text columns
    d. No primary key
    Answer: b. A column with incrementing or timestamp valueslearn.microsoft+1​
31. In the context of ML feature engineering, how can Delta Load be advantageous?
    a. Unifies data versions for reproducibility
    b. Always duplicates data
    c. Can only process text features
    d. Prevents normalization
    Answer: a. Unifies data versions for reproducibilitydatacamp​
32. Which is the best scenario for applying Delta Load in ML pipelines?
    a. When data never changes
    b. For monitoring streaming sensor data
    c. When only initial batch load required
    d. For images only
    Answer: b. For monitoring streaming sensor datadatacamp​
33. Delta Load in ML is leveraged primarily for:
    a. Model deployment
    b. Feature store updates
    c. Visualization only
    d. Parameter tuning
    Answer: b. Feature store updatesdelta+1​
34. How are duplicates commonly handled in Delta Loads?
    a. Duplicates are always included
    b. Deduplication on unique IDs/timestamps
    c. Manual review for every record
    d. Ignored in source
    Answer: b. Deduplication on unique IDs/timestampsdatacamp​
35. Which widely used framework natively supports Delta Load management?
    a. TensorFlow
    b. Pytorch
    c. Apache Spark with Delta Lake
    d. Only SQL
    Answer: c. Apache Spark with Delta Lakedatabricks+2​
36. When a Delta Load is implemented incorrectly, the likely consequence is:
    a. Data loss and inconsistency
    b. Just slower speed
    c. Redundant schema evolution
    d. No effect
    Answer: a. Data loss and inconsistencydataengineering​
37. To rollback erroneous Delta Loads, what is required?
    a. Full re-ingestion
    b. Time travel and version control
    c. Manually deleting records only
    d. Changing column names
    Answer: b. Time travel and version controldatacamp​
38. How does partitioning benefit Delta Loads at scale?
    a. Slows queries
    b. Optimizes read by skipping unnecessary files
    c. Only works for small datasets
    d. Must process all files
    Answer: b. Optimizes read by skipping unnecessary filesdelta​
39. The “medallion architecture” in ML/ETL refers to:
    a. Layered incremental tables (Bronze, Silver, Gold)
    b. Partitioning by key only
    c. Single-layer model
    d. Manual file management
    Answer: a. Layered incremental tables (Bronze, Silver, Gold)datacamp​
40. Delta Load offers time savings due to:
    a. Smaller ingestion volumes per run
    b. Loading all columns every time
    c. Frequent schema evolution
    d. Constant full refreshes
    Answer: a. Smaller ingestion volumes per rundelta+1​
41. Delta Load is often favored over full load because:
    a. Full load is always faster
    b. Delta Load is more resource and time efficient
    c. Full load provides more flexibility
    d. Delta Load duplicates all data
    Answer: b. Delta Load is more resource and time efficientdelta+1​
42. In Delta Load, what kind of changes are most reliably ingested?
    a. Insertions and updates
    b. Deletions only
    c. All schema changes immediately
    d. None
    Answer: a. Insertions and updatesdataengineering​
43. Which of the following is necessary for Delta Load to capture updates accurately?
    a. Presence of timestamp or incrementing ID in source data
    b. Only free-text fields
    c. No metadata required
    d. Schema less tables
    Answer: a. Presence of timestamp or incrementing ID in source datalearn.microsoft+1​
44. Most cloud-native ETL tools use Delta Loads for which reason?
    a. Minimize compute and data transfer costs
    b. Increase storage costs
    c. Maximize redundancy
    d. For manual backup
    Answer: a. Minimize compute and data transfer costsdatabricks​
45. What is the result of not having a proper timestamp in Delta Load?
    a. All changes may be missed
    b. Everything loads correctly
    c. Only schema updates happen
    d. Faster querying
    Answer: a. All changes may be misseddataengineering​
46. Delta Loads depend on which kind of operation for new records?
    a. Checking for duplicates only
    b. Comparing max loaded value against source
    c. Schema validation
    d. No comparison required
    Answer: b. Comparing max loaded value against sourcereddit+1​
47. After applying Delta Load, what does the destination hold?
    a. Original records only
    b. Updated and newly inserted records
    c. Only deleted records
    d. No data
    Answer: b. Updated and newly inserted recordsdataengineering​
48. Delta Load best practices include:
    a. Monitoring for missed deletes and multiple changes
    b. Ignoring metadata entirely
    c. Rejecting schema evolution
    d. Never using primary keys
    Answer: a. Monitoring for missed deletes and multiple changesdataengineering​
49. Delta Load is especially useful when:
    a. Data changes frequently and volume is high
    b. Dataset is static
    c. Data is only loaded once
    d. Data schema is always changing
    Answer: a. Data changes frequently and volume is highdelta+2​
50. Delta Load is least effective when:
    a. Data supports incremental tracking
    b. All changes are tracked as inserts only
    c. Deletes and multiple updates between loads must be captured
    d. Frequent queries do not affect source database
    Answer: c. Deletes and multiple updates between loads must be capturedreddit+1​

1. https://dataengineering.wiki/Concepts/Data+Ingestion/Delta+Load
2. https://delta.io/blog/delta-lake-etl/
3. https://www.datacamp.com/tutorial/delta-lake
4. https://learn.microsoft.com/en-us/azure/data-factory/tutorial-incremental-copy-overview
5. https://www.reddit.com/r/dataengineering/comments/1evv6gt/confused_about_incremental_load_vs_delta_loadare/
6. https://www.databricks.com/discover/etl
7. https://hevodata.com/learn/etl-automation-guide/
8. https://www.gyansetu.in/blog/machine-learning-mcq-interview-preparation/
9. https://www.sanfoundry.com/1000-machine-learning-questions-answers/
10. https://interviewkickstart.com/blogs/articles/machine-learning-mcqs-answers
11. https://www.geeksforgeeks.org/quizzes/machine-learning-quiz-questions-and-answers/
12. https://www.scribd.com/document/895828217/Deep-Learning-Unit-I-II-MCQ
13. https://mcqmate.com/topic/machine-learning
14. https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/ingest-etl-stream-with-adb
15. https://www.youtube.com/watch?v=FugpqOEPuBg
16. https://www.exploredatabase.com/2020/05/machine-learning-multiple-choice-questions-with-answers-home.html
17. https://www.databricks.com/blog/2019/08/14/productionizing-machine-learning-with-delta-lake.html
18. https://www.youtube.com/watch?v=uoVZ8l3Iwfw
19. https://www.sanfoundry.com/artificial-intelligence-mcqs-machine-learning/
20. https://www.interviewbit.com/machine-learning-mcq/