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Database Systems MCQs – Practice Test 65 (Chapter 13)

Introduction to DBMS MCQs with Answers PDF Download – Test 65

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Learn Introduction to DBMS Multiple Choice Questions (MCQs) with Answers PDF (Introduction to DBMS MCQs PDF e-Book) download Ch. 13-65 to study Database Systems Course. Practice Database Languages MCQs, Introduction to DBMS Notes questions and answers PDF to achieve DBMS mastery. Free Introduction to DBMS MCQs App: Download the Database Systems Study App to study transaction management, database users and administrators, purpose of database systems, data mining and information retrieval career test for database online curriculum.

Free "Introduction to DBMS MCQs" App Download with MCQ: Storage structure and access methods used by the database system, is specified by a type of DDL, known as; with answers: data storage domain, data storage, data storage and definition, and data storage and declaration for database online curriculum. Solve Aggregate Functions Quiz Questions, download Google e-Book (Free Chapter) to improve database efficiency.

Introduction to DBMS MCQs – Practice Test 65 PDF Download

MCQ 321: The storage structure and access methods used by the database system, is specified by a type of DDL, known as:

  1. Data Storage
  2. Data Storage Domain
  3. Data Storage and Definition
  4. Data Storage and Declaration

MCQ 322: When multiple transactions update the system concurrently, to ensure the consistency of the database, is the responsibility of:

  1. Concurrency-control manager
  2. File manager
  3. Buffer manager
  4. Authorization manager

MCQ 323: People who work with a database can be categorized as:

  1. Database users and administrators
  2. Database managers
  3. Database analyzers
  4. Database generals

MCQ 324: Difficulty in accessing data is one the major drawback of:

  1. File updation system
  2. File storage system
  3. File processing system
  4. File retrieval system

MCQ 325: The term that deals with 'knowledge discovery in databases', is basically:

  1. Data Handling
  2. Data procedures
  3. Data Dandling
  4. Data Mining

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