Which property of an entity can become a column in a table?
Answer : C
In database design, attributes of an entity become columns in a relational table.
Example Usage:
For an Employee entity, attributes might include:

CREATE TABLE Employees (
EmployeeID INT PRIMARY KEY,
Name VARCHAR(50),
Salary DECIMAL(10,2),
DepartmentID INT
);
Each attribute (e.g., Name, Salary) becomes a column in the table.
Why Other Options Are Incorrect:
Option A (Modality) (Incorrect): Describes optional vs. mandatory relationships, not table structure.
Option B (Uniqueness) (Incorrect): Ensures distinct values but is not a column property.
Option D (Non-null values) (Incorrect): Ensures that columns must contain data but does not define attributes.
Thus, the correct answer is Attribute, as attributes of entities become table columns.
What is a common error made while inserting an automatically incrementing primary key?
Answer : A
In databases, primary keys are often set to auto-increment so that new rows automatically receive unique values. However, one common error is manually inserting a value into an auto-incremented primary key column, which overrides the automatic numbering and may cause conflicts.
Example of Auto-Increment Setup:
sql
CREATE TABLE Users (
UserID INT AUTO_INCREMENT PRIMARY KEY,
Username VARCHAR(50)
);
Incorrect Insert (Error-Prone Approach):
sql
INSERT INTO Users (UserID, Username) VALUES (100, 'Alice');
This manually overrides the auto-increment, which can lead to duplicate key errors.
Correct Insert (Avoiding Errors):
sql
INSERT INTO Users (Username) VALUES ('Alice');
The database assigns UserID automatically, preventing conflicts.
Why Other Options Are Incorrect:
Option B (Failing to set a numeric value) (Incorrect): The database automatically assigns values when AUTO_INCREMENT is used.
Option C (Designating multiple primary keys) (Incorrect): While incorrect, most databases will prevent this at creation time.
Option D (Forgetting to specify which is the auto-increment column) (Incorrect): If AUTO_INCREMENT is set, the database handles numbering automatically.
Thus, the most common error is Inserting a value and overriding auto-increment, which can cause duplicate key errors and data inconsistencies.
Which elements are represented by attributes in the database design documents?
Answer : B
Attributes in a database represent the properties (names, values, or characteristics) of an entity.
Example Usage:
In a Students table, attributes might include:
StudentID (Primary Key), Name, Age, Major
Here, Name is an attribute describing the entity Student.
Why Other Options Are Incorrect:
Option A (Synonyms) (Incorrect): Synonyms in SQL allow different names for the same object but are not attributes.
Option C (Repositories) (Incorrect): A repository stores data but does not define attributes.
Option D (Relationships) (Incorrect): Relationships define connections between entities, not their attributes.
Thus, the correct answer is Names, as attributes define entity properties.
Which syntax feature classifies the explicit string, numeric, or binary values used in SQL queries?
Answer : A
In SQL, literals represent explicit values such as numbers, strings, or binary data directly written into queries. For example:
SELECT * FROM Employees WHERE Salary > 50000;
Here, 50000 is a numeric literal.
Option A (Correct): Literals are explicit values used in SQL queries, such as 123, 'John Doe', and TRUE.
Option B (Incorrect): Comments are non-executable text used for documentation within SQL code, typically denoted by -- or /* ... */.
Option C (Incorrect): Identifiers are names of tables, columns, or other database objects, such as EmployeeID.
Option D (Incorrect): Keywords are reserved words in SQL (e.g., SELECT, FROM, WHERE) that define operations and syntax.
Which SELECT statement uses valid syntax for SQL?
Answer : D
A valid SELECT statement in SQL follows this basic syntax:
sql
SELECT column1, column2
FROM table_name
WHERE condition;
The correct option D follows this syntax correctly.
Why Other Options Are Incorrect:
Option A (Incorrect): SQL does not use double quotes (') around column/table names unless explicitly required in some databases.
Option B (Incorrect): The WHERE clause must appear after the FROM clause.
Option C (Incorrect): ALL is not a valid keyword in standard SQL queries.
Thus, Option D follows the correct SQL syntax.
What is the first step of the analysis phase for designing a database?
Answer : B
The first step in database analysis is identifying entities, which are the real-world objects that need to be represented in the database.
Example Usage:
In a school system, the main entities could be:
Students, Courses, Instructors
Why Other Options Are Incorrect:
Option A (Determine cardinality) (Incorrect): Determining relationships comes after identifying entities.
Option C (Draw an ER diagram) (Incorrect): ER diagrams visualize entities but are not the first step.
Option D (Implement attributes) (Incorrect): Attributes are defined after entities are identified.
Thus, the correct answer is Identify entities, as entities form the foundation of the database model.
Which statement uses valid syntax for the DELETE statement in SQL?
Answer : B
The correct syntax for deleting records from a table in SQL is:
sql
DELETE FROM table_name WHERE condition;
This deletes only the rows that match the condition.
Example Usage:
sql
DELETE FROM Employees WHERE Salary < 30000;
Deletes all employees earning less than $30,000.
Why Other Options Are Incorrect:
Option A (Incorrect): Missing FROM keyword. The correct syntax is DELETE FROM table_name.
Option C (Partially Correct): DELETE FROM table_name; deletes all rows, but it lacks a WHERE clause.
Option D (Incorrect): DELETE * is not valid in SQL. The correct command is just DELETE FROM.
Thus, the correct answer is DELETE FROM table_name WHERE condition;.