Understanding ACID vs BASE Models in NoSQL Transactions Quiz

Explore the essential differences between ACID and BASE transaction models in NoSQL databases. This quiz assesses key concepts, behaviors, and real-world scenarios involving consistency, availability, isolation, and durability in NoSQL systems.

  1. ACID Fundamentals

    Which property in the ACID model ensures that either all operations in a transaction are completed successfully, or none are applied?

    1. Availability
    2. Asynchrony
    3. Atomicity
    4. Adaptability

    Explanation: Atomicity guarantees that a transaction is treated as a single unit, so all changes occur or none at all. Availability is part of the BASE model, not ACID. Asynchrony relates to timing, not all-or-nothing execution. Adaptability is not relevant to transaction completion.

  2. BASE Model Principle

    In the BASE model for NoSQL databases, what does the 'Eventually consistent' principle imply after an update?

    1. Updates are lost permanently
    2. Data is immediately consistent everywhere
    3. Transactions are always rolled back on failure
    4. All data copies will synchronize over time

    Explanation: Eventually consistent means that, given enough time, all updates will propagate and all replicas will become consistent. Immediate consistency everywhere is typical of ACID, not BASE. BASE does not guarantee transaction rollback on failure. Updates are not lost; they just may not be immediately reflected everywhere.

  3. Durability Difference

    Which transaction property is typically relaxed in BASE systems compared to ACID, using a scenario where data might be temporarily unavailable after a write?

    1. Symmetry
    2. Durability
    3. Atomicity
    4. Isolation

    Explanation: BASE systems can temporarily relax durability, meaning changes might not be available right after a write, while ACID systems emphasize immediate durability. Atomicity and isolation relate to transaction boundaries and visibility. Symmetry is unrelated to transaction guarantees.

  4. Base Reliability

    A social app allows users to post comments instantly, but different users might see the new comment at different times. Which model best explains this?

    1. CASID
    2. BASE
    3. ACID
    4. BASIC

    Explanation: BASE, with its eventual consistency, allows temporary discrepancies in view as changes propagate. ACID demands immediate consistency for all users. BASIC and CASID are incorrect or misspelled variations with no recognized transaction meaning here.

  5. Consistency Types

    Which statement correctly describes consistency in ACID and BASE models?

    1. ACID enforces strict consistency, while BASE offers eventual consistency
    2. Both ACID and BASE avoid any consistency guarantees
    3. ACID provides eventual consistency and BASE provides instant consistency
    4. BASE requires strict consistency across all nodes

    Explanation: ACID requires all transactions to leave the database in a consistent state, enforcing strict consistency. BASE, in contrast, allows temporary inconsistencies resolved over time, known as eventual consistency. The other options incorrectly describe the behavior or misstate the models.

  6. Isolation Scenario

    If two transactions run at the same time and read each other's intermediate results, which ACID property is being violated?

    1. Durability
    2. Elasticity
    3. Scalability
    4. Isolation

    Explanation: Isolation ensures that concurrent transactions do not see each other's unfinished work. Durability concerns the permanence of committed results. Scalability and elasticity deal with capacity and flexibility, not transaction isolation.

  7. Trade-off in BASE

    BASE models trade strict consistency for which desirable characteristic in large, distributed NoSQL systems?

    1. Greater isolation
    2. Permanent synchronization
    3. Tighter atomicity
    4. Higher availability

    Explanation: BASE systems relax consistency to maintain higher availability during network partitions. Tighter atomicity and greater isolation are traits of ACID, and permanent synchronization does not accurately describe the trade-off in BASE.

  8. Example Use Case

    Which scenario best justifies the use of an eventual consistency model over a strongly consistent one?

    1. Banking transactions requiring immediate balance accuracy
    2. A global product catalog that tolerates delay in update propagation
    3. A booking system where double booking cannot occur
    4. A stock trading application where orders must be synced instantly

    Explanation: Eventual consistency works well when slight delays in updates are acceptable, as in a global product catalog. Banking, booking, and trading applications all require strict, immediate consistency to prevent errors and losses.

  9. BASE Acronym Meaning

    In the context of transactions, what does the 'B' in BASE stand for?

    1. Binary
    2. Basically
    3. Batch
    4. Backend

    Explanation: BASE stands for Basically Available, Soft state, Eventually consistent. Binary, batch, and backend are unrelated terms, not part of the BASE acronym.

  10. Selecting the Right Model

    Which factor is most important in choosing ACID over BASE for a database system?

    1. Need for horizontal scalability across many servers
    2. High tolerance for temporary data discrepancies
    3. Preference for lower transaction costs
    4. Requirement for strict data consistency and integrity

    Explanation: ACID provides strict guarantees for consistency and integrity, making it vital where precision matters most. BASE systems better serve cases favoring scalability, temporary discrepancies, or reduced costs. The distractors relate to BASE features or are less important than data integrity for ACID.