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Notations for Modeling Data Practice Test PDF Download eBook p. 162

Learn Notations for modeling data mock test for exam, notations for modeling data MCQ with answers pdf to solve data science test 162 for online job interview. Practice Database Design and ER Model Trivia Questions and answers, notations for modeling data Multiple Choice Questions (MCQ) for online DBMS, DBA. Free notations for modeling data MCQs, purpose of database systems, advanced aggregation features, view of data, database architecture, notations for modeling data test prep for top online computer science programs.

"UML diagrams that shows the system components along with their interconnections, is known as", notations for modeling data Multiple Choice Questions (MCQ) with choices use case diagram, class diagram, implementation diagram, and activity diagram to learn e-learning courses. Learn database design and er model questions and answers with free online certification courses for online computer science engineering.

Trivia Quiz on Notations for Modeling Data PDF Download eBook

Notations for Modeling Data Quiz

MCQ: UML diagrams that shows the system components along with their interconnections, is known as

  1. Class diagram
  2. Use case diagram
  3. Implementation diagram
  4. Activity diagram

C

Database Architecture Quiz

MCQ: 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

B

View of Data Quiz

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

  1. Subschemas
  2. Multischemas
  3. Virtual Schema
  4. Model schema

A

Advanced Aggregation Features Quiz

MCQ: Window queries compute an aggregate function over ranges of

  1. Tuples
  2. Functions
  3. Attributes
  4. Structures

A

Purpose of Database Systems Quiz

MCQ: 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

A