Database Systems MCQs (Computer Science) From Textbook

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Database Systems Entrance Tests: Practice Test 26 (Chapter 13)

Introduction to DBMS Multiple Choice Questions (MCQ) PDF Download - 26

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The Introduction to DBMS Multiple Choice Questions (MCQ Quiz) with Answers PDF (Introduction to DBMS MCQ PDF e-Book) download Ch. 13-26 to learn Database Systems Course. Solve Database Design Multiple Choice Questions (MCQs), Introduction to DBMS quiz with answers PDF to learn online certification courses. The Introduction to DBMS MCQ App Download: Free Database Systems App to learn view of data, database architecture, purpose of database systems career test for online computer science engineering.

The MCQs: A conceptual framework is used in high-level data model, to specify the data requirements of the; "Introduction to DBMS" App (Android, iOS) with answers: database host, database servers, database systems, and database users to learn online certification courses. Practice View of Data Quiz Questions, download Apple Book (Free Chapter) for online college courses.

Introduction to DBMS MCQ with Answers PDF Download: Quiz 26

MCQ: 126

A conceptual framework is used in high-level data model, to specify the data requirements of the

  1. Database servers
  2. Database host
  3. Database systems
  4. Database users
MCQ: 127

The term that describes the database design at the logical level, is known as

  1. View Schema
  2. Virtual Schema
  3. Logical schema
  4. Physical Schema
MCQ: 128

Application resides at the client machine and invokes database system functionality at the server machine through query statement, is the type known as

  1. One-tier architecture
  2. Two-tier architecture
  3. Three-tier architecture
  4. NO-tier architecture
MCQ: 129

The term that describes the different views of the database is known as

  1. Subschemas
  2. Multischemas
  3. Virtual Schema
  4. Model schema
MCQ: 130

When constraints involve several data items from different files, the compounded problem is

  1. Data Integrity
  2. Data Inconsistency
  3. Data atomicity
  4. Data Isolation

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