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CS403: Introduction to Modern Database Systems Certification Exam Answers

In the modern era, database systems play a pivotal role in managing and organizing vast amounts of data efficiently. These systems serve as the backbone for various applications ranging from e-commerce platforms to social media networks, scientific research, and beyond. Understanding the fundamentals of modern database systems is crucial for developers, data analysts, and businesses aiming to harness the power of data effectively.

Key Components of Modern Database Systems:

  1. Data Model: A data model defines the structure of the data, including how data is organized, stored, and manipulated within the database. Modern database systems often support various data models, including relational, document-oriented, graph, and key-value stores, among others.
  2. Query Language: Query languages allow users to interact with the database to retrieve, insert, update, and delete data. SQL (Structured Query Language) is the most common language for relational databases, while NoSQL databases may use different query languages tailored to their respective data models.
  3. Storage Management: Modern databases employ sophisticated techniques for storing and retrieving data efficiently. This includes disk-based storage, in-memory databases for faster access, and techniques like indexing and compression to optimize performance.
  4. Concurrency Control: Database systems must handle multiple concurrent users and transactions while ensuring data consistency and integrity. Concurrency control mechanisms, such as locking and multi-version concurrency control (MVCC), are essential components of modern database systems.
  5. Transaction Management: Transactions represent a sequence of database operations that must be executed atomically (all or nothing), consistently, and isolated from other transactions. Modern database systems provide transaction management features to ensure data integrity and reliability.
  6. Scalability and Distribution: With the exponential growth of data, modern database systems must be scalable and able to handle large volumes of data and high transaction rates. Distributed database systems distribute data across multiple nodes to achieve scalability, fault tolerance, and improved performance.
  7. Data Security: Securing sensitive data is paramount in modern database systems. This includes authentication mechanisms, access control, encryption, and compliance with regulatory requirements such as GDPR and HIPAA.
  8. Data Analytics and Business Intelligence: Many modern database systems offer built-in support for data analytics and business intelligence, allowing organizations to derive insights from their data through tools like reporting, data visualization, and predictive analytics.
  9. Cloud Integration: With the widespread adoption of cloud computing, modern database systems often integrate seamlessly with cloud platforms, offering benefits such as scalability, flexibility, and cost-effectiveness.
  10. Machine Learning Integration: Some advanced database systems incorporate machine learning capabilities for tasks such as query optimization, anomaly detection, and predictive analytics, enabling more intelligent data processing and analysis.

In conclusion, modern database systems are dynamic and versatile tools that form the foundation of data-driven applications across various industries. Understanding their key components and capabilities is essential for leveraging data effectively in today’s digital age.

CS403: Introduction to Modern Database Systems Exam Quiz Answers

CS403 Introduction to Modern Database Systems
  • 32
  • It is 32.
  • It is 32 degrees.
  • It is 32 degrees Fahrenheit.
  • 32
  • I am 32
  • It is 32 degrees.
  • It is 32 outside.
  • A system for managing data
  • A set of data for a particular application
  • A major subsystem of an operating system
  • A reusable, organized collection of related data
  • Backing up hard drives or other storage disks
  • Recording the behavior of real time embedded systems
  • Storing and retrieving enterprise data for business systems
  • Performing computations for scientific and engineering application systems
  • Network
  • Relational
  • Hierarchical
  • Object-oriented
  • Network
  • Relational
  • Hierarchical
  • Object-oriented
  • Logical data independence
  • Physical data dependence
  • Physical data independence
  • Physical schema refinement
  • User view
  • Table contents
  • Logical schema
  • Physical schema
  • a meta table
  • a virtual table
  • a copy of a table
  • a pointer to a table
  • query complexity
  • search time for certain types of queries
  • the amount of storage used in searching a database
  • the design effort needed for developing the database search algorithms
  • foreign
  • hash
  • national
  • primary
  • Hierarchical
  • Network
  • Relational
  • Theoretical
  • Internal view
  • External view
  • Network schema
  • Data management language
  • An E-R diagram is transformed into the database design.
  • An E-R diagram is transformed into the internal database.
  • An E-R diagram is transformed into the physical database.
  • An E-R diagram is used to represent the database requirements.
  • Cardinality
  • Optionality
  • Disjointedness
  • Referential integrity
  • Attributes
  • Constraints
  • Entities
  • Relations
  • σcourse_id=”CS403″ (course)
  • σdescription=”CS403″ (course)
  • σcourse_id = “CS403” (registration)
  • σdescription=”CS403″ (registration)
  • The mathematical basis for SQL
  • A language used to store data in a database
  • The translation of a query by an SQL compiler
  • An informal way to describe how a database works
  • An equijoin
  • A hash join
  • A theta join
  • Aa natural join
  • A theta join
  • An inner join
  • A natural join
  • A cartesian product
Modern Database Systems Saylor Academy 1
  • First normal form
  • Second normal form
  • Third normal form
  • Boyce-Codd normal form
  • It has no identical rows
  • It has no repeating groups
  • It has no partial functional dependencies
  • It has no transitive functional dependencies
Part No.DescriptionCust IDNameQuantity Ordered
2361Pens7810J. Smith22
2371Paper Clips7810J. Smith1000
2914Pens7914K. Jones900
  • A deletion anomaly
  • An update anomaly
  • An insertion anomaly
  • A modification anomaly
Part No.DescriptionCust IDNameQuantity Ordered
2361Pens7810J. Smith22
2371Paper Clips7810J. Smith1000
2914Pens7914K. Jones900
  • A hash anomaly
  • A deletion anomaly
  • An update anomaly
  • An insertion anomaly
  • Insert
  • Select
  • Update
  • Create table
  • Insert a new record into the table for each MA customer
  • Set the credit limit of all MA customers to credit limit * 1.05
  • Set the credit limit of all MA customers to credit limit / 1.05
  • Change state to MA where credit limit was increased by 5%
  • It can only be used by itself.
  • It can be included as part of an insert only.
  • It can be included as part of an update but not as part of a delete.
  • It can be included as part of an update, delete, or insert statement.
  • Query a table
  • Create a new table
  • Insert data into a table
  • Delete rows from a table
  • A listing of all customers
  • A listing of all customers with a credit limit greater than 500
  • A count of all customers
  • A count of all customers with a credit limit greater than 500
  • It is always the first part of an SQL select statement
  • It sorts the entire table by ordering the values of a column(s)
  • It sorts the result set from a query by ordering column values
  • It uses descending when the order for sorting is not specified
Registration
SIDCourse IDSem IDInstructorGrade
282712ENGL210201701H. ZacnyB+
362112CS101201701K. RossC
652123CS403201701K. RossA
362112CS403201701K. SmithC+
282712BIO101201601I. OlsenC
  • The entire table sorted by sid
  • No results due to an error
  • 282712 2

362112 2

652123 1

  • 282712 1

362112 1

652123 1

  • Full join
  • Left join
  • Half join
  • Empty join
Student
SIDLnameFnameMajor
986223SmithJanetChemistry
362112WilliamsHenryComputer Science
282712JonesJohnEnglish Literature
Registration
SIDCourse IDSem IDInstructorGrade
282712ENGL210201701H. ZacnyB+
362112CS101201701K. RossC
  • Williams CS101
  • Williams CS101 C

Jones ENGL210 B+

  • Smith null null

Williams CS101 C

Jones ENGL210

  • No output due to a syntax error
  • Cost = 10
  • Int X;

X = 10

  • int Dollars = 10;

Print Dollars

  • Int Dollars;

Dollars = 10;

Cost = Dollars

  • Distributed and leased
  • Centralized and leased
  • Centralized and distributed
  • Centralized and networked
  • Metadata
  • Abstract data
  • Semantic data
  • Referential data
  • Conceptual
  • External
  • Individual
  • Internal
  • constructs
  • constraints
  • foreign keys
  • primary keys
  • They have little vendor support
  • They integrate multiple paradigms
  • They cannot be easily implemented
  • They integrate incompatible paradigms
  • A model of a database
  • A design of a database
  • A diagram of a database
  • A specification of database requirements
Modern Database Systems Saylor Academy 2
  • An employee can work for many departments
  • An employee can work for one department and a department can only have one employee
  • An employee can work for one department and a department can have one or more employees
  • An employee can work for one department only and a department does not have to have employees
Modern Database Systems Saylor Academy 3
  • Imaging entity
  • Associative entity
  • Binary relationship
  • Ternary relationship
  • Π (Student)
  • Π (Course)
  • ΠName (Student)
  • σname (Student)
  • It is in fourth normal form
  • There are transitive dependencies
  • Every determinant is a candidate key
  • There are some partial functional dependencies
  • Add a new row to the course table
  • Delete all records in the course table
  • Delete three credit courses from the course table
  • Delete all records except those with three credits from the course table
  • Customers’ last and first names who live in a state that ends with an M
  • Customers’ last and first names who live in a state that begins with an M
  • a list of all customers in the table who live in a state that ends with an M
  • A list of all customers in the table who live in a state that begins with an M
  • Only joining tables
  • Choosing the correct table
  • Choosing the correct expression to display
  • Choosing only rows that fit a certain criterion
  • A list of all customer records with credit limit > 500 and < 1000
  • A list of all customer records with credit limit > =500 and < =1000
  • A list of (cid, lname, fname) where credit limit >500 and <1000
  • A list of (cid, lname, fname) where credit limit > =500 and < = 1000
  • Return all rows in all tables
  • Return only those rows with a matching row in the corresponding table
  • Return all rows in the right table regardless of whether there is a match in the left table
  • Return all rows in the left or right table regardless of whether there is a match in the corresponding table
Course
Course IDDescriptionCredits
CS101Computer Science I3
CS201Elementary Data Structures3
ENGL210Technical Writing3
Registration
SIDCourse IDSem IDInstructorGrade
282712ENGL210201701H. ZacnyB+
362112CS101201701K. RossC
 652123 CS403201603K. RossA
  • Technical Writing 28212 B+
  • Technical Writing 28212 B+

Computer Science I 362112 C

Null 652123 A

  • Technical Writing 28212 B+

Computer Science I 362112 C

Elementary Data Structures null null

  • Technical Writing 28212 B+

Computer Science I 362112 C

Null 652123 A

Elementary Data Structures null null

  • Letters
  • Data plus semantics
  • Letters that spell a word
  • A number and its data type
  • Low data quality
  • Limited data sharing
  • Short development time
  • Program-data independence
  • integrated and shared
  • redundant and accurate
  • functional and redundant
  • transactional and unconstrained
  • Data security
  • Data accuracy
  • Data redundancy
  • Data dependence
  • Primary keying
  • Check constraints
  • Referential integrity
  • Field-level validations
Modern Database Systems Saylor Academy 4
  • Primary key
  • Composite key
  • Multivalued attribute
  • Single-valued attribute
Modern Database Systems Saylor Academy 5
  • Unary
  • One to all
  • One to one
  • One to many
  • Entity integrity
  • Domain integrity
  • Semantic integrity
  • Referential integrity
  • The employee number of every staff employee and every instructor
  • Every employee who is either a member of the staff or an instructor
  • All tuples of the instructor relation along with all tuples of the staff relation
  • The employee number of all rows in the staff and in the instructor relations
Modern Database Systems Saylor Academy 6
  • First normal form
  • Third normal form
  • Fourth normal form
  • Boyce-Codd normal form
  • Delete table rows that match a condition
  • Truncate parts of a table that are too long
  • Remove table columns that match a condition
  • Insert a mark to indicate that a table is deleted
  • average
  • avg
  • mean
  • sqrt
  • Sort the results in group order
  • List the rows ordered by group
  • List a single row for each group
  • Insert new records into the table
  • A part of a database
  • A database application
  • An interface between applications
  • An interface between a database and users of the database
  • Network
  • Relational
  • Hierarchical
  • Object-oriented
  • Conceptual
  • Data
  • External
  • Internal
  • an index
  • a schema
  • a table
  • a view
  • Hierarchical
  • NoSQL
  • Object
  • Relational
  • Internal view
  • External view
  • Conceptual schema
  • Data management language
  • Data dependency
  • Limited vendor support
  • Low speed of operation
  • Structural independence
Modern Database Systems Saylor Academy 7
  • Name
  • License
  • SocSec#
  • StudentId
  • Circle
  • Diamond
  • Oval
  • Rectangle
  • Binary
  • Ternary
  • Tributary
  • Unary
Modern Database Systems Saylor Academy 8
Modern Database Systems Saylor Academy 9
Modern Database Systems Saylor Academy 10
Modern Database Systems Saylor Academy 11
Modern Database Systems Saylor Academy 12
Modern Database Systems Saylor Academy 13
Modern Database Systems Saylor Academy 14
Modern Database Systems Saylor Academy 15
Modern Database Systems Saylor Academy 16
Modern Database Systems Saylor Academy 17
  • Normalize the ERD until no more normalization can be done
  • Check that the DBMS can interpret the constraints in the ERD
  • Make sure that we have simplified the ERD as much as possible
  • Make sure that our ERD has only one entity and one relationship
  • They cannot be used in most modern database systems
  • They ensure values entered into a table satisfy conditions
  • They can only check numeric values for arithmetic relations
  • They cannot always be implemented in some SQL implementations
  • When there are no dependencies of an attribute on another attribute in the table
  • When there are no compound primary keys or partial key that can have a null value
  • When there are no partial dependencies or transitive dependencies on a primary key
  • When there are no repeating groups of values of an attribute in one or more columns
Part No.DescriptionCust IDNameQuantity Ordered
2361Pens7810J. Smith22
2371Paper Clips7810J. Smith1000
2914Pens7914K. Jones900
  • A non-normal form
  • A deletion anomaly
  • An update anomaly
  • An insertion anomaly
  • Foreign key
  • Primary key
  • Independent key
  • Functional dependency
  • It is used to create tables, views, etc., and data manipulation language is only used for inserts
  • It is used for queries and data manipulation language is used for updating and deleting tables only
  • It is used to create the files that store tables whereas data manipulation language is used to update data
  • It is used to create tables, indexes, etc., whereas data manipulation language is used to query the database
  • It is missing a left parenthesis
  • It is missing a right parenthesis
  • It is missing a value before the parenthesis
  • There are not enough fields in the statement
  • references, alias, check
  • null, primary key, view of
  • primary key, not null, unique
  • primary key, default, between
  • Customer data rows so that there are no duplicates
  • Customer rows so that there are no duplicate records
  • Customer rows so that there are no duplicate customers
  • Customer data rows so that there are no duplicate names
  • All last names and credit limits from 1000 to 2000, and 2000 to 3000
  • The last name of all customers with a credit limit of 1000, 2000, or 3000
  • All last names and credit limits where the credit limit is 1000, 2000, 3000
  • The last name of all customers with a credit from 1000 to 2000, and 2000 to 3000
Course
Course IDDescriptionCredits
CS101Computer Science I3
CS201Elementary Data Structures3
ENGL210Technical Writing3
Registration
SIDCourse IDSem IDInstructorGrade
282712ENGL210201701H. ZacnyB+
362112CS101201701K. RossC
  • Computer Science I 362112 C
  • Computer Science I 362112 C

Technical Writing 28212 B+

  • Computer Science I 362112 C

Elementary Data Structures null null

Technical Writing 28212 B+

  • No results due to syntax error
  • Network
  • Relational
  • Hierarchical
  • Object-oriented
  • Subschema
  • External view
  • Network schema
  • Data management language
  • Entity
  • Hierarchical
  • Network
  • Object
  • A field is not duplicated in the table
  • Two fields are related to one another
  • Field values are consistent in the table
  • There are no repeating groups in the table
  • All course descriptions and names of all students
  • Registered students and all the course descriptions
  • All student names and all courses that are registered
  • Registered students and descriptions of their courses
  • Join two or more tables based upon related fields
  • Join two or more tables based on related column fields
  • Join two or more columns together based on common names
  • Join two or more rows together based on related column fields

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