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Master GAQM CITM-001 Exam with Reliable Practice Questions

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Last exam update: Nov 13,2024
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Question 1

DBMS stands for


Correct : C

A DBMS is software that monitors and maintains accurate, quality data in a data structure. It helps organizations optimize, store, retrieve and manage data in a database. A DBMS consists of a group of programs that manipulate the database and accept requests for data from an application or user. A DBMS can also provide security, redundancy, abstraction, and multiple views of the data. A DBMS that stores data in tables and uses relationships between them is called a relational DBMS or RDBMS. Some examples of popular DBMS software are PostgreSQL, Oracle Database, Microsoft SQL Server, MySQL, SQLite, IBM Db2, etc.Reference:What is DBMS? Database Management Systems, Explained,What Is a DBMS? - LearnSQL.com,Database management system (DBMS) | Definition & Facts.


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Question 2

In a database, each row is called a


Correct : A

In a database, each row represents a single, implicitly structured data item in a table. A row is also called a record or a tuple. A record contains multiple fields, each one defined in a different column. A field is the intersection of a row and a column, and it holds a single value.A column is also called an attribute or a field name, and it defines the type and constraints of the data in that column.Reference:

https://stackoverflow.com/questions/13774547/in-databases-whats-the-difference-between-the-words-row-and-record

https://database.guide/what-is-a-row/


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Question 3

Which clause lists the attributes desired in answer to the query?


Correct : B

The select clause corresponds to the projection operation of the relational algebra. It is used to list the attributes desired in the result of a query.For example, the queryselect name, age from studentwill return the name and age attributes of all tuples in the student relation12.Reference:1: CSE132A F05 SQLpart1 - University of California, San Diego2: Basic Operations - RDBMS Questions and Answers - Sanfoundry


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Question 4

Which diagram consists of object types and relationships?


Correct : A

An ER diagram (Entity-Relationship diagram) is a type of diagram that consists of object types and relationships. An object type is a category of objects that share common attributes and behaviors, such as a class, an entity, or a component. A relationship is a connection or association between two or more object types, such as an inheritance, an aggregation, or a dependency. An ER diagram is used to model the structure and semantics of a system, such as a database, a software system, or a business domain. An ER diagram can show the cardinality, optionality, and constraints of the relationships, as well as the attributes and operations of the object types.Reference:What is an Entity Relationship Diagram (ERD)?,Object Diagrams | Unified Modeling Language (UML),The Easy Guide to UML Class Diagrams | Class Diagram Tutorial,Class diagrams vs Object diagrams in UML


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Question 5

One of the main reasons for building a data warehouse is to undertake data mining.


Correct : A

Data warehousing and data mining are closely related technologies that support business intelligence and analytics. Data warehousing is the process of collecting, integrating, and organizing data from various sources into a centralized repository that can support complex queries and analysis. Data mining is the process of applying various techniques and algorithms to extract useful information and patterns from the data stored in the data warehouse. Data mining can help discover hidden relationships, trends, anomalies, and insights that can improve decision making and performance. One of the main reasons for building a data warehouse is to enable data mining, as data warehouses provide a consistent, reliable, and comprehensive source of data that can be mined for various purposes. Data warehouses also facilitate data mining by providing data quality, data cleansing, data transformation, data aggregation, and data indexing services that can enhance the accuracy and efficiency of data mining. Data warehouses and data mining are complementary technologies that work together to deliver business value and competitive advantage.Reference:Data Warehousing and Data Mining 101,Data Warehousing and Data Mining - Topcoder,Difference between Data Warehousing and Data Mining


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