Advanced SQL (DTAN 6120)

Advanced SQL (DTAN 6120)

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Free Advanced SQL (DTAN 6120) Questions

1.

 Explain how data integrity contributes to reliable data management in a database system

  •  It allows for faster data processing.

  • It prevents unauthorized access to the database.

  • It maintains the accuracy and consistency of data, which supports informed decision-making.

  • It simplifies the database design process.

Explanation

Correct Answer C. It maintains the accuracy and consistency of data, which supports informed decision-making.

Explanation

Data integrity ensures that stored information remains accurate, consistent, and reliable, preventing corruption or duplication. It is enforced through constraints such as PRIMARY KEY, FOREIGN KEY, UNIQUE, and CHECK, ensuring that data adheres to predefined rules. Reliable data integrity enables organizations to make informed decisions based on accurate and trustworthy information.

Why Other Options Are Wrong

A. It allows for faster data processing.

Data integrity does not directly enhance processing speed, as performance improvements come from query optimization, indexing, and caching techniques. While structured and consistent data can improve efficiency, the main goal of data integrity is accuracy and reliability, not speed.


B. It prevents unauthorized access to the database.

Preventing unauthorized access falls under database security, managed through user permissions, encryption, and authentication mechanisms. Data integrity focuses on maintaining correctness within stored data, not restricting access.


D. It simplifies the database design process.

While integrity constraints help enforce data consistency, they do not simplify database design. Designing an optimized database still requires normalization, indexing strategies, and schema planning, beyond just enforcing integrity rules.


2.

Which data type in MySQL is primarily used for whole numbers

  • FLOAT

  • DOUBLE

  • INTEGER

  • DECIMAL

Explanation

Correct Answer C. INTEGER

Explanation

The INTEGER (INT) data type is the primary data type used for storing whole numbers in MySQL. It supports both signed and unsigned values, making it suitable for storing IDs, counts, and other numeric values that do not require decimal precision. INTEGER provides efficient storage and indexing, making it ideal for most applications requiring whole numbers.

Why Other Options Are Wrong

A. FLOAT is used to store approximate decimal values and is prone to rounding errors, making it unsuitable for storing precise whole numbers. It is commonly used in scientific and statistical computations rather than for primary key values or count-based data.

B. DOUBLE is another floating-point data type, but it consumes more storage and is typically used for high-precision decimal values, not whole numbers. Unlike INTEGER, DOUBLE supports fractional values, which are not required for storing integer-based data.

D. DECIMAL is specifically designed for fixed-point precision, making it useful for financial and monetary calculations, not whole numbers. While it can store integer values, its extra precision handling makes it unnecessary for non-decimal data storage.


3.

 If a database table has a unique constraint on the 'email' column, what would happen if a user attempts to insert a duplicate email address

  • The database will accept the duplicate entry without any issues.

  • The database will automatically change the duplicate email to a unique value.

  • The database will reject the entry and return an error message.

  • The database will allow the entry but mark it as a duplicate

Explanation

Correct Answer C. The database will reject the entry and return an error message.

Explanation

A unique constraint ensures that no two rows in a table have the same value in the specified column. If a user attempts to insert a duplicate email, the database will enforce the constraint by rejecting the entry and displaying an error message. This helps maintain data integrity by preventing duplicate records.

Why Other Options Are Wrong

A. The database will accept the duplicate entry without any issues.

The database does not allow duplicate entries in a column with a unique constraint. If a user tries to insert a duplicate value, the system enforces the uniqueness rule and prevents the operation from being completed successfully. Allowing duplicates would violate the integrity of the constraint.


B. The database will automatically change the duplicate email to a unique value.

The database does not automatically modify user data to make it unique. It is the responsibility of the user or application logic
to handle duplicate entries before inserting them. The database enforces constraints but does not alter input values without explicit instructions.

D. The database will allow the entry but mark it as a duplicate

The database does not "mark" an entry as a duplicate while allowing it; instead, it prevents the duplicate from being stored in the first place. If duplicates were allowed and only marked, it would defeat the purpose of using a unique constraint.


4.

Explain the significance of the NOT NULL constraint in maintaining data integrity within a database

  • It prevents duplicate entries in a column.

  • It ensures that all records have a valid entry for that column.

  • It allows for flexible data entry without restrictions.

  • It automatically fills in missing data with default values.

Explanation

Correct Answer B. It ensures that all records have a valid entry for that column.

Explanation

The NOT NULL constraint ensures that a column cannot have NULL values, meaning every record must have a valid entry in that field. This is crucial for maintaining data integrity, as certain fields, such as primary keys, email addresses, or order numbers, must always contain valid data. Without NOT NULL, essential fields could be left blank, leading to incomplete or inconsistent records.

Why Other Options Are Wrong

A. It prevents duplicate entries in a column.

The NOT NULL constraint does not prevent duplicate entries; that is the role of the UNIQUE constraint. A column with NOT NULL can still contain duplicate values as long as no NULLs are present. Preventing duplicates requires an additional constraint, such as UNIQUE or PRIMARY KEY.


C. It allows for flexible data entry without restrictions.

The NOT NULL constraint does not allow for flexible data entry, as it forces a value to be provided
. While flexibility is important in some cases, NOT NULL ensures that critical fields are always populated, preventing issues caused by missing data.

D. It automatically fills in missing data with default values.

The NOT NULL constraint does not automatically fill in missing data. If a column is NOT NULL and no value is provided, the database will return an error instead of inserting a default value. Default values must be explicitly set using the DEFAULT keyword.


5.

Explain the types of data that can be stored in a BLOB in SQL and provide an example of its practical application

  • BLOB can store text data; for example, storing user comments.

  • BLOB can store large binary data; for example, storing images or videos.

  • BLOB can store structured data; for example, storing tables.

  • BLOB can store numerical data; for example, storing statistics.

Explanation

Correct Answer B. BLOB can store large binary data; for example, storing images or videos.

Explanation

A Binary Large Object (BLOB) is a data type designed to store large binary data, including images, videos, audio files, and other multimedia content. Since BLOBs store raw binary data, they are commonly used in applications that require storing non-textual information within a database, such as profile pictures, scanned documents, and media archives.

Why Other Options Are Wrong

A. BLOB can store text data; for example, storing user comments.

BLOB is not meant for storing text data
; TEXT or VARCHAR data types are used instead. Although BLOB can technically store text in binary format, it does not support text-based operations like searching or sorting efficiently.

C. BLOB can store structured data; for example, storing tables.

BLOB does not store structured data like tables
; relational databases store structured data using tables with defined columns and constraints. Storing tables as binary objects would make it impossible to perform relational queries and indexing.

D. BLOB can store numerical data; for example, storing statistics.

BLOB does not store numerical data
; INTEGER, DECIMAL, or FLOAT are used for storing numeric values. Numbers stored in a BLOB format cannot be used for arithmetic operations, making it inefficient for handling statistics or calculations.


6.

Explain how the GRANT command contributes to database security and user management

  • It restricts access to the database entirely.

  • It allows users to create new databases.

  • It enables administrators to control user permissions effectively.

  • It automatically backs up the database.

Explanation

Correct Answer C. It enables administrators to control user permissions effectively.

Explanation

The GRANT command in SQL is part of Data Control Language (DCL) and is used to assign specific privileges to users. Administrators can grant permissions such as SELECT, INSERT, UPDATE, and DELETE to control who can access or modify data. This command plays a crucial role in database security by preventing unauthorized access and enforcing access control policies.

Why Other Options Are Wrong

A. It restricts access to the database entirely.

The GRANT command does not restrict access but grants permissions
to users. To restrict access, the REVOKE command is used instead. Security policies rely on both GRANT and REVOKE commands to manage database access effectively.

B. It allows users to create new databases.

While GRANT can allow a user to execute commands, it does not specifically create new databases
. The CREATE DATABASE statement is responsible for database creation, while GRANT is used to assign privileges on existing databases or tables.

D. It automatically backs up the database.

The GRANT command does not perform database backups. Backups are managed using administrative tools, scheduled jobs, or SQL commands like BACKUP DATABASE (SQL Server) or mysqldump (MySQL). GRANT focuses on
user access control, not data preservation.


7.

 Explain how the SELECT command can be utilized to filter data in SQL. What role do criteria play in this process

  • Criteria are used to define the structure of the database.

  • Criteria determine which records are included in the result set.

  • Criteria are irrelevant to the SELECT command.

  • Criteria are only used for updating records.

Explanation

Correct Answer B. Criteria determine which records are included in the result set.

Explanation

The SELECT statement retrieves data from a database, and criteria (specified in the WHERE clause) filter which records should be included in the result set. By applying conditions such as comparisons (=, >, <), logical operators (AND, OR), and pattern matching (LIKE), users can extract only the relevant data. Criteria improve query efficiency by reducing the number of returned rows, making data analysis and reporting more precise.

Why Other Options Are Wrong

A. Criteria are used to define the structure of the database.

Criteria do not define the structure of the database
; instead, they determine which records meet specific conditions in a query. The structure of a database is defined by schemas, tables, and columns, not by filtering conditions in SELECT statements.

C. Criteria are irrelevant to the SELECT command.

Criteria are not irrelevant to the SELECT command; they play a crucial role in filtering data. Without criteria, a SELECT query retrieves all records from a table, which may not always be efficient or useful for analysis.

D. Criteria are only used for updating records.

Criteria are not only used for updating records; they are fundamental to retrieving specific data in SELECT queries. Although criteria are also used in UPDATE and DELETE statements, their role in SELECT queries is essential for filtering results.


8.

Which data type in MySQL is suitable for storing whole numbers, including unsigned positive integers

  • VARCHAR

  • TEXT

  • INT(11)

  • FLOAT

Explanation

Correct Answer C. INT(11)

Explanation

The INT data type in MySQL is used to store whole numbers, including both signed and unsigned integers. The (11) in INT(11) specifies the display width, not the storage size. By default, INT can store values from -2,147,483,648 to 2,147,483,647 (signed) or 0 to 4,294,967,295 (unsigned), making it suitable for large numeric values without decimals.

Why Other Options Are Wrong

A. VARCHAR

VARCHAR is used to store text and character strings, not whole numbers. Attempting to store numeric values in a VARCHAR column can lead to performance issues and inefficient storage usage.

B. TEXT

TEXT is designed for large text storage, such as comments, descriptions, or articles, and is not optimized for numerical calculations. Using TEXT for numbers would prevent sorting, indexing, and mathematical operations.

D. FLOAT

FLOAT is a floating-point data type, meaning it is used to store decimal values, not strictly whole numbers. It is susceptible to rounding errors, making it unsuitable for exact numerical calculations, especially in financial applications.


9.

Explain the primary function of SQL in relational database management systems

  • To store data securely

  • To communicate with the database for data manipulation and management

  • To create database backups

  • To design user interfaces for databases

Explanation

Correct Answer B. To communicate with the database for data manipulation and management.

Explanation

SQL (Structured Query Language) is used to retrieve, insert, update, and delete data in relational databases. It provides a standardized way to interact with database management systems (DBMS), allowing users to manipulate data, define schemas, and manage transactions. SQL plays a crucial role in querying and maintaining relational databases.

Why Other Options Are Wrong

A. To store data securely

While SQL supports security features such as user permissions and access control, its primary purpose is not security. Security is enforced through Data Control Language (DCL) and database configuration settings, while SQL mainly focuses on querying and managing data.

C. To create database backups

SQL commands like BACKUP DATABASE exist in some systems, but database backups are primarily handled by administrative tools and scheduled maintenance processes. SQL itself is not solely responsible for backups, as database systems use automated scripts, replication, and recovery features.

D. To design user interfaces for databases

SQL does not design user interfaces; UI development is handled through frontend programming languages like HTML, JavaScript, and frameworks like React or Angular. SQL supports data interaction and retrieval, but designing graphical interfaces requires separate tools.


10.

 What is the primary reason data quality is emphasized in database management

  • To enhance the speed of data retrieval

  • To ensure data is accurate and trustworthy

  • To reduce the size of the database

  • To simplify SQL command usage

Explanation

Correct Answer B. To ensure data is accurate and trustworthy.

Explanation

Data quality is crucial for accurate reporting, decision-making, and operational efficiency. High-quality data is complete, consistent, accurate, and timely, ensuring that businesses can trust the information used in analytics, transactions, and strategic planning. Poor data quality leads to errors, inefficiencies, and incorrect conclusions.

Why Other Options Are Wrong

A. To enhance the speed of data retrieval

While structured and high-quality data may indirectly improve retrieval speed, data quality focuses more on accuracy and consistency rather than query performance. Query optimization techniques, such as indexing and caching, affect retrieval speed more directly.


C. To reduce the size of the database

Data quality efforts do not necessarily reduce database size; they prevent redundant or incorrect data but may also increase the volume of stored data due to proper data retention policies.


D. To simplify SQL command usage

High-quality data does not simplify SQL command usage; SQL complexity depends on query structure and database design rather than data accuracy. However, structured and well-organized data makes queries more reliable.


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Advanced SQL (DTAN 6120) 

Introduction to Advanced SQL

Advanced SQL extends basic query capabilities, providing powerful techniques for data retrieval, manipulation, and management in complex database environments.

Basic vs Advanced SQL
  • Basic SQL: Simple queries, INSERT, UPDATE, DELETE.
  • Advanced SQL: Complex queries, transactions, optimizations, advanced joins, subqueries, indexing, and specialized data types.
Importance of Advanced SQL
  • Essential for handling large, complex databases.
  • Enhances query performance and database security.
  • Enables efficient data analysis and decision-making.

Advanced Query Techniques

Subqueries

A subquery is a query nested within another SQL query.

Types of Subqueries:

  • Scalar Subqueries: Returns a single value.
  • Row Subqueries: Returns a single row.
  • Table Subqueries: Returns one or more rows.
  • Correlated Subqueries: Refer to columns from the outer query.

Inner Joins: Returns rows with matching values.

Outer Joins:

  • Left Outer Join: Returns all rows from the left table and matching rows from the right.
  • Right Outer Join: Returns all rows from the right table and matching rows from the left.
  • Full Outer Join: Returns all rows from both tables.

Cross Joins: Returns the Cartesian product of two tables.

Self Joins: Joins a table to itself.

Common Table Expressions (CTE)

A CTE is a temporary result set used within a query.

Recursive CTEs

Useful for hierarchical data.

Advanced SQL Functions

Window Functions

Operate on a set of rows and return a single aggregated value for each row.

ROW_NUMBER(): Assigns sequential integer numbers to rows.

RANK() and DENSE_RANK():

  • RANK(): Leaves gaps in ranking if there are ties.
  • DENSE_RANK(): No gaps, sequential ranks.

Examples:

SELECT employee_name, salary,

RANK() OVER (ORDER BY salary DESC) AS salary_rank

FROM employees;

Aggregate Functions

Perform calculations on groups of data:

  • COUNT: Counts rows.
  • SUM: Calculates sum.
  • AVG: Calculates average.

GROUP BY and HAVING Clauses:

  • GROUP BY: Groups rows sharing property.
  • HAVING: Filters groups based on aggregate conditions.

Indexing and Optimization

Index Basics

Indexes improve query performance by allowing rapid data lookup.

Types of Indexes
  • Single-Level Index: Simplest form.

  • Multi-Level Index: Hierarchical structure, faster access.
Clustered vs Non-Clustered Indexes
  • Clustered Index: Physically orders rows.

  • Non-Clustered Index: Logical ordering, points to data locations.
Query Optimization Strategies
  • Use indexes wisely.
  • Avoid SELECT * statements.
  • Limit results with WHERE clause.

EXPLAIN and ANALYZE Commands:

  • EXPLAIN: Describes query execution plan.
  • ANALYZE: Executes query and provides actual runtime statistics.

Transaction Management

Understanding Transactions

A transaction is a sequence of SQL statements executed as a single logical unit.

ACID Properties
  • Atomicity: All or nothing execution.
  • Consistency: Maintains database integrity.
  • Isolation: Transactions don't interfere with each other.
  • Durability: Persistent effects after completion.
Isolation Levels
  • Read Uncommitted: Allows dirty reads.
  • Read Committed: Prevents dirty reads.
  • Repeatable Read: Ensures consistent reads.
  • Serializable: Highest isolation, complete isolation from others.

Database Security

Authentication and Authorization
  • Authentication: Verifies user identity.
  • Authorization: Controls access to database resources.
Roles and Permissions
  • Assign roles to users/groups.
  • Define permissions (SELECT, INSERT, UPDATE, DELETE).
SQL Injection Prevention
  • Sanitize inputs.
  • Use prepared statements.
  • Apply least privilege principle.

Stored Procedures and Triggers

Creating Stored Procedures

Reusable, optimized, and secure SQL scripts.

Benefits and Use Cases:

  • Efficiency and reduced network traffic.
  • Enhanced security and maintainability.
Triggers: BEFORE and AFTER Triggers

Automate responses to specific database events (INSERT, UPDATE, DELETE).

Advanced Data Types

JSON Data Type

Store JSON documents directly in SQL databases.

XML Data Type

Stores structured XML data.

Working with Geospatial Data
  • Manage location-based data.
  • Functions include distance calculation, spatial intersections, map visualizations.

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