1z0-071 Exam Dumps - Oracle PL Questions and Answers

In Oracle SQL, when performing a JOIN operation, the ON clause is used to specify the condition that relates the two tables being joined. The WHERE clause can be used to further filter the result set.

A) This is a valid join condition using the WHERE clause to filter the rows after the join has been made.

B) This statement will fail because the ON clause should only contain conditions that relate the two tables. The condition for filtering the departments table should be in the WHERE clause, not in the ON clause. This is a common mistake when writing JOIN statements.

C) This is a correct statement. The ON clause specifies how the tables are related and the WHERE clause specifies an additional filtering condition for the query.

D) This statement is also correct. It's similar to the first statement (A) and properly places the department_id filter in the ON clause, which is acceptable though not typically best practice as it can be less readable than using a WHERE clause for non-join conditions.

When the JOIN operation is executed, the database first pairs rows from the joined tables that meet the join condition specified by the ON clause. Then, it filters the result of the JOIN operation based on the condition specified in the WHERE clause.

References:

Oracle Documentation on Joins: https://docs.oracle.com/database/121/SQLRF/queries006.htm#SQLRF52359

To include employees with no manager in the query results, a LEFT OUTER JOIN should be used. This type of join returns all records from the left table (employees), and the matched records from the right table (managers). The result is NULL from the right side if there is no match.

Here's the modified query:

SELECT e.last_name AS emp, m.last_name AS mgr FROM employees e LEFT OUTER JOIN managers m ON e.manager_id = m.employee_id ORDER BY emp;

This ensures that even if an employee does not have a manager (i.e., e.manager_id is NULL or there is no corresponding m.employee_id), that employee will still be included in the results.

The queries that will return all the rows from the COLORS table are those that ensure every record from COLORS is selected, regardless of whether there's a matching record in the BRICKS table:

Option A:

SELECT * FROM bricks b RIGHT JOIN colors c ON b.color_rgb_hex_value = c.rgb_hex_value;

A right join will return all the rows from the right table (COLORS), with the matching rows from the left table (BRICKS). If there is no match, NULL will be returned for columns from BRICKS.

Option B:

SELECT * FROM colors c LEFT JOIN bricks b USING (rgb_hex_value);

A left join will return all the rows from the left table (COLORS), with the matching rows from the right table (BRICKS). If there is no match, NULL will be returned for columns from BRICKS. The USING clause indicates a join condition where columns with the same names are compared for equality.

Options C, D, and E will not return all the rows from the COLORS table:

Option C: The full join will return all rows from both tables, but it is not restricted to only the rows from COLORS.

Option D: An inner join will return only the matching rows between both tables, not all rows from COLORS.

Option E: This is a left join, which would typically return all rows from COLORS, but the WHERE clause restricts the result set to only those rows from COLORS that have a matching BRICK_ID in BRICKS which is greater than 0, potentially excluding rows from COLORS.

For situations where the transaction would complete by committing the updates:

A. When the session logs out successfully: When a user session logs out, Oracle automatically commits any outstanding transactions.

C. When a CREATE INDEX statement is executed successfully in the same session: Most DDL statements, including CREATE INDEX, cause an implicit commit before and after they are executed.

F. When a DBA issues a successful SHUTDOWN TRANSACTIONAL statement: This type of shutdown ensures that active transactions are either committed or rolled back. If a COMMIT is then issued explicitly, it would be redundant but emphasizes the transaction completion.

Incorrect options:

B: SHUTDOWN IMMEDIATE will roll back transactions, not commit them.

D: A COMMIT in one session cannot affect the transaction state of another session; each session is isolated in terms of transaction management.

E: If a CREATE TABLE AS SELECT statement executes unsuccessfully, no implicit commit is performed; the statement failure means the transaction state remains unchanged.

Roles are named collections of privileges in Oracle databases.

A. False. Roles cannot be assigned to other roles using the ALTER ROLE statement.

B. False. Roles can be assigned to both users and other roles.

C. True. Roles are assigned to users using the ALTER USER statement, but this is not the only method.

D. True. A single role can be assigned to multiple users, simplifying the management of user privileges.

E. True. A single user can be assigned multiple roles.

F. False. Privileges are not assigned to a role using the ALTER ROLE statement.

G. True. Privileges are assigned to a role using the GRANT statement.

In reference to the attributes of the PRODUCT_DETAILS table:

A. This statement is false. If PRODUCT_PRICE has no value (i.e., it is NULL), it cannot be used directly in arithmetic expressions because any operation with NULL results in NULL.

B. This statement is true. PRODUCT_ID has the NOT NULL constraint and is of type NUMBER, making it eligible to be a PRIMARY KEY. Primary keys require all values to be unique and not null.

C. This statement is true. EXPIRY_DATE is of type DATE, and it cannot be used in arithmetic expressions directly without a date function that operates on dates.

D. This statement is false. By default, columns of type DATE do not have a default value unless explicitly assigned using the DEFAULT keyword in the column definition.

E. This statement is false. By default, numeric columns do not have a default value unless specified with the DEFAULT keyword.

F. This statement is false. The statement about PRODUCT_NAME not containing duplicate values would be true if it were a UNIQUE or PRIMARY KEY, but there is no such constraint indicated in the provided table description.

For the SELECT statement from two tables without a JOIN clause:

Option B: You can add a WHERE clause with filtering criteria.

A WHERE clause can be added to a query to filter the results based on specified conditions.

Option E: It returns the same rows as SELECT * FROM bricks CROSS JOIN colors.

A comma-separated list of tables in a FROM clause is equivalent to a CROSS JOIN, resulting in a Cartesian product of the tables.

Options A, C, and D are incorrect because:

Option A: You cannot add an ON clause without changing the comma-separated FROM clause to a proper JOIN.

Option C: It returns the Cartesian product, not the sum, of the rows from BRICKS and COLORS.

Option D: A USING clause is not applicable without changing the syntax to a proper JOIN.

Option D is the correct SQL statement that satisfies all the requirements mentioned. The CASE statement correctly compares the hire_date to date intervals subtracted from the current date (SYSDATE) to determine the number of years of service. This CASE statement is also appropriately ordered to ensure that the first condition matched is the one returned, preventing overlapping of the conditions.

Here is how Option D works according to the requirements:

It selects the last_name and hire_date from the employees table.

The CASE statement is used to calculate the number of years of service and to display the appropriate message according to the intervals defined.

The ORDER BY hire_date clause ensures the results are sorted by the date of hire.

In Option D, the intervals are defined in the correct order, ensuring that the first true condition is the one that is used:

The first WHEN checks if the hire date is 15 or more years ago.

The second WHEN checks if it is 10 or more years ago.

The third WHEN checks if it is 5 or more years ago.

The ELSE clause covers any hire dates less than 5 years ago.

The correct syntax for the intervals is SYSDATE - hire_date >= TO_YMINTERVAL('15-0') and similarly for the 10 and 5 years intervals.

Options A, B, and C are incorrect because they have various issues, such as incorrect ordering of the CASE statement's conditions, which could lead to incorrect results due to overlapping intervals, or the use of the TO_YMINTERVAL function that may not properly cover the intended date ranges.

References:

Oracle Documentation on CASE Expressions: SQL Language Reference - CASE Expression

Oracle Documentation on TO_YMINTERVAL Function: SQL Language Reference - TO_YMINTERVAL

Oracle Documentation on ORDER BY Clause: SQL Language Reference - ORDER BY Clause

Therefore, Option D is the statement that fulfills all the requirements for displaying the number of years of service based on the employee's hire date and ordered by the hire date.

In Oracle SQL, the ALTER TABLE statement is used to modify the definition of a table after it has been created. Specific changes are allowed depending on the current data type of the column and the data it contains.

A. You cannot change a VARCHAR2 column to NUMBER if the table contains rows with non-numeric values, which is the case with '123' as a VARCHAR2; it is a string, not a number.

B. You can reduce the size of a NUMBER column if the data will still fit within the new precision, but you cannot change a VARCHAR2 column to a smaller size if it contains values that exceed the new size limit.

C. You cannot change a NUMBER column to VARCHAR2 if the table contains rows because the existing data type of NUMBER does not match the new data type of VARCHAR2.

D. Similar to A, you cannot change the data type from VARCHAR2 to NUMBER if non-numeric data is present.

E. You can change a VARCHAR2(10) column to VARCHAR2(5) if all existing rows have values that fit within the new size, and you can change a NUMBER column to have a different scale (NUMBER(12,2)).

References:

Oracle Database SQL Language Reference, 12c Release 1 (12.1): "ALTER TABLE"

Substitution variables in Oracle are used to replace a value dynamically during the execution of SQL statements. The behavior of these variables is well-documented:

C. A substitution variable prefixed with & always prompts only once for a value in a session: This is true. In a session, when you use a single ampersand (&), SQL*Plus or SQL Developer will prompt for the value the first time the variable is encountered. The value for this variable will then be reused for the remainder of the session unless it is redefined.

D. A substitution variable can be used with any clause in a SELECT statement: Substitution variables can be placed in any part of a SQL statement, including the SELECT, WHERE, GROUP BY, ORDER BY, etc. They are not limited to any specific clause.

References:

Oracle SQL*Plus User's Guide and Reference, which discusses substitution variables.