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Quizzes > Computers & Technology > Computers & IT

Think You Know Database Concepts? Take the True/False Quiz!

Ready for the true false database quiz? Test your DBMS knowledge now!

Difficulty: Moderate
2-5mins
Learning OutcomesCheat Sheet
paper art style database quiz scene with DBMS icons data sharing query constraints big data concepts on sky blue background

Use this database concepts true/false quiz to check your grasp of DBMS basics and tricky points: query constraints, indexing, data sharing, and whether big data relies on relational systems. See what you get right, spot gaps before an exam or interview, and keep practicing with the SQL true/false quiz or the database fundamentals quiz .

A DBMS stands for Database Management System.
False
True
A DBMS is indeed a Database Management System that provides an interface to store, retrieve, and manage data efficiently. It handles data definition, manipulation, security, and integrity. Most modern applications rely on a DBMS to ensure consistent access and management of data. .
By default, SQL keywords are case-sensitive.
False
True
Standard SQL is case-insensitive for keywords, meaning SELECT and select are treated the same. Identifiers like table and column names can be case-sensitive depending on the database and its configuration. However, reserved words (keywords) are generally recognized regardless of case. .
A primary key uniquely identifies each record in a table.
False
True
A primary key constraint ensures that each row in a table has a unique, non-null value. This uniqueness allows the primary key to serve as a definitive identifier for records. It is critical for enforcing entity integrity in a relational database. .
ACID in DBMS stands for Atomicity, Consistency, Isolation, Durability.
False
True
The ACID properties ensure reliable processing of database transactions. Atomicity guarantees all operations in a transaction complete or none do. Consistency ensures the database moves from one valid state to another. Isolation and Durability further maintain transaction integrity. .
A foreign key must always reference a primary key in another table.
True
False
A foreign key enforces referential integrity by linking to a candidate key, which is often but not necessarily the primary key. Some systems allow referencing a unique key instead of a primary key. The key requirement is that referenced values must be unique and indexed. .
Normalization always improves query performance by reducing the number of joins.
True
False
Normalization reduces redundancy and potential anomalies by splitting data into related tables. However, this can increase the need for joins when querying, which may impact performance. In some cases, denormalization is used to speed up read-heavy workloads at the expense of redundancy. .
Sharding a database stores data horizontally across multiple machines to scale reads and writes.
True
False
Sharding partitions a large dataset into smaller, more manageable pieces called shards, which are distributed across several servers. This horizontal scaling improves parallelism and can boost read and write performance. Each shard holds a subset of rows for a table, keyed by a shard key. .
The CAP theorem states that a distributed system can simultaneously guarantee consistency, availability, and partition tolerance.
True
False
The CAP theorem holds that in the presence of a network partition (P), a distributed system must choose between consistency (C) and availability (A). It cannot guarantee all three simultaneously under failure conditions. Designers often trade one for another based on use cases. .
In a NoSQL document store with eventual consistency, once all nodes synchronize, the system guarantees strong consistency.
False
True
Eventual consistency allows updates to propagate to all replicas asynchronously, so at any moment reads may return stale data. Even when nodes synchronize, there is no guarantee of atomic visibility like in strong consistency models. This trade-off improves availability and partition tolerance. .
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Study Outcomes

  1. Master database concepts quiz essentials -

    Understand the core principles covered in a comprehensive database concepts quiz, from data models to DBMS architecture.

  2. Analyze DBMS true false questions -

    Evaluate statements on database management system performance and integrity to sharpen critical assessment skills.

  3. Distinguish relational vs. big data processing -

    Assess the statement "big data is processed using relational databases true false" to differentiate between relational models and modern big data frameworks.

  4. Interpret query constraints in a true false database quiz -

    Identify the correct application of query limits and restrictions within real-world scenarios presented in a true false database quiz format.

  5. Apply data sharing best practices -

    Implement key principles for secure and efficient multiuser access in collaborative database environments.

  6. Reinforce database fundamentals true or false quiz topics -

    Solidify essential knowledge for interviews and certification prep through targeted true-or-false scenario analysis.

Cheat Sheet

  1. ACID Properties -

    When tackling a database concepts quiz, remember ACID stands for Atomicity, Consistency, Isolation, and Durability. Use the mnemonic "A Cat In Dapper" to recall each guarantee that keeps transactions reliable. These four pillars, endorsed by sources like Oracle University and ACM papers, ensure data integrity even under system failures.

  2. Concurrency Control and Data Sharing -

    True false database quiz items often quiz you on locks and isolation levels; two-phase locking (2PL) is a cornerstone technique that prevents anomalies by dividing transaction execution into growing and shrinking phases. Understanding optimistic versus pessimistic locking from university DBMS courses helps you predict performance and deadlock behavior. Always link back to real scenarios where multiple users update the same record concurrently.

  3. Schema Constraints and Keys -

    Database fundamentals true or false quiz questions love to test your knowledge of PRIMARY KEY, FOREIGN KEY, UNIQUE, and CHECK constraints. Remember that a PRIMARY KEY uniquely identifies rows while a FOREIGN KEY maintains referential integrity across tables - think of "PK locks it, FK links it." Official guidelines from the ISO SQL standard recommend clear constraint definitions to enforce business rules.

  4. Big Data Processing Paradigms -

    You may see the statement "big data is processed using relational databases true false" on a DBMS true false questions sheet - recognize that traditional RDBMS struggle with petabyte-scale, so most big data workloads use distributed systems like Hadoop or Spark instead. Industry research from Gartner and academic journals confirms that NoSQL stores, parallel processing, and distributed file systems are the norm. Embrace the false answer here to show mastery of emerging data architectures.

  5. Performance Tuning: Indexing & Normalization -

    In a true false database quiz, you'll often face statements like "indexing always speeds up writes," which is false - indexes boost read performance but can slow inserts and updates. Recall normalization forms (1NF, 2NF, 3NF) using the phrase "No Spaghetti Data" to eliminate redundancy before indexing. Trusted textbooks from MIT and Stanford emphasize balancing normalized schema design with selective indexing for optimal DBMS performance.

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