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CSE 511 Midterm Exam Questions With Verified And Updated Answers

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©THESTAR EXAM SOLUTIONS 2024/2025 ALL RIGHTS RESERVED. 1 | P a g e CSE 511 Midterm Exam Questions With Verified And Updated Answers True or false, sources of dat are becoming larger and more diverse - answerTrue, Billions or even trillions of data sources What is the goal of data processing? - answerTo extract data that is useful Why is the volume of data that is available so large? - answerIncreasing number of data sources (social media, wearable tech, sensors, cameras, etc), formats, and data points How much data is possibly generated in a day? - answerA petabyte (1 million GB) What is scalable data processing? - answerAllows database processing systems to cope with the volume, velocity, and variety aspects that big data brings into the system What are the different types of data processing systems? - answerRelational DBMS, NoSQL Graph/Document Key Value Stores, and Hadoop/Spark What are the characteristics of a Relational DBMS? - answerOperational workload, presents entities and objects in the world using tables and relations between tables What are the characteristics of a NoSQL Graph, Document, Key Value Stores? - answerUnstructured data, highly available systems. Runs queries that extract knowledge from the data. What are the characteristics of Hadoop/Spark? - answerNot operational, for analytics over massive scale data What is a database? - answerA very large, integrated collection of data that models real world enterprises using entities and relationships between those entities What are the three goals of a DBMS? - answerTo store, retrieve, and manage data What are the benefits of using a DBMS? - answerData independnce (don't need to know how data is organized), Efficient data access (indexes), data administration (one location where data ©THESTAR EXAM SOLUTIONS 2024/2025 ALL RIGHTS RESERVED. 2 | P a g e is stored), concurrent access + crash recovery, data integrity + security, reduced app development time (don't have to worry about scalability of database or database performance) What is a data model - answercollection of concepts for describing data. The mathematical equation that defines a relationship. What is a schema? - answerA description of a particular collection of data in tables using a given data model. Description of data using tables in the relational model What are the three levels of abstraction? - answerExternal Schema (Views), Conceptual Schema, and Physical Schema What are the external schema (views)? - answerDescribes how users see the data. Can have multiple views on top of a conceptual schema. What is the conceptual schema? - answerDefines the logical structure of the relation. The attributes that make up the database. Only one conceptual schemal per relation. What is the physical schema? - answerDescribes the files and indexes used. How the data is sorted, stored, and indexed. What is logical data independence? - answerProtection from changes in logical structure. What is physical data independence? - answerProtection from physical structure of data. Why are logical and physical data independence so beneficial? - answerThe application that is accessing the database is not affected by changes in the logical structure or physical structure in the database thanks to the DBMS What are the thee phases of Database Design? - answer"1: Requirement analysis (what users expect) 2: Conceptual database design (build entity relationship (ER) diagram) 3: Logical database design (convert ER design into a relational database schema." What questions should be answered when defining the ER diagram? - answerWhat are the entities + relationships in the enterprise? What info about these entities and relationships should we store? What are the integrity constraints or business rules that hold? What are entities? - answerReal world objects. Described using a set of attributes. Shown as an oval in an ER diagram. What is an entity set? - answerCollection of similar entities. Each entity set has a key. Each attribute has a domain. All entities in a set have same number of attributes. Shown as a square in an ER diagram.

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©THESTAR EXAM SOLUTIONS 2024/2025

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CSE 511 Midterm Exam Questions With
Verified And Updated Answers


True or false, sources of dat are becoming larger and more diverse - answer✔True, Billions or
even trillions of data sources

What is the goal of data processing? - answer✔To extract data that is useful

Why is the volume of data that is available so large? - answer✔Increasing number of data
sources (social media, wearable tech, sensors, cameras, etc), formats, and data points

How much data is possibly generated in a day? - answer✔A petabyte (1 million GB)

What is scalable data processing? - answer✔Allows database processing systems to cope with
the volume, velocity, and variety aspects that big data brings into the system

What are the different types of data processing systems? - answer✔Relational DBMS, NoSQL
Graph/Document Key Value Stores, and Hadoop/Spark

What are the characteristics of a Relational DBMS? - answer✔Operational workload, presents
entities and objects in the world using tables and relations between tables
What are the characteristics of a NoSQL Graph, Document, Key Value Stores? -
answer✔Unstructured data, highly available systems. Runs queries that extract knowledge from
the data.

What are the characteristics of Hadoop/Spark? - answer✔Not operational, for analytics over
massive scale data

What is a database? - answer✔A very large, integrated collection of data that models real world
enterprises using entities and relationships between those entities

What are the three goals of a DBMS? - answer✔To store, retrieve, and manage data

What are the benefits of using a DBMS? - answer✔Data independnce (don't need to know how
data is organized), Efficient data access (indexes), data administration (one location where data


1|Page

, ©THESTAR EXAM SOLUTIONS 2024/2025

ALL RIGHTS RESERVED.
is stored), concurrent access + crash recovery, data integrity + security, reduced app
development time (don't have to worry about scalability of database or database performance)

What is a data model - answer✔collection of concepts for describing data. The mathematical
equation that defines a relationship.

What is a schema? - answer✔A description of a particular collection of data in tables using a
given data model. Description of data using tables in the relational model

What are the three levels of abstraction? - answer✔External Schema (Views), Conceptual
Schema, and Physical Schema

What are the external schema (views)? - answer✔Describes how users see the data. Can have
multiple views on top of a conceptual schema.

What is the conceptual schema? - answer✔Defines the logical structure of the relation. The
attributes that make up the database. Only one conceptual schemal per relation.

What is the physical schema? - answer✔Describes the files and indexes used. How the data is
sorted, stored, and indexed.

What is logical data independence? - answer✔Protection from changes in logical structure.

What is physical data independence? - answer✔Protection from physical structure of data.

Why are logical and physical data independence so beneficial? - answer✔The application that is
accessing the database is not affected by changes in the logical structure or physical structure
in the database thanks to the DBMS

What are the thee phases of Database Design? - answer✔"1: Requirement analysis (what users
expect)
2: Conceptual database design (build entity relationship (ER) diagram)
3: Logical database design (convert ER design into a relational database schema."

What questions should be answered when defining the ER diagram? - answer✔What are the
entities + relationships in the enterprise? What info about these entities and relationships
should we store? What are the integrity constraints or business rules that hold?

What are entities? - answer✔Real world objects. Described using a set of attributes. Shown as
an oval in an ER diagram.

What is an entity set? - answer✔Collection of similar entities. Each entity set has a key. Each
attribute has a domain. All entities in a set have same number of attributes. Shown as a square
in an ER diagram.
2|Page

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