Exactprep 1z0-071 Questions

When writing SQL statements with multiple conditions in the WHERE clause, it's important to understand how logical operators like AND and OR work. These operators are used to filter records based on more than one condition:

• The AND operator displays a record if all the conditions separated by AND are TRUE.
• The OR operator displays a record if any of the conditions separated by OR is TRUE.

The precedence of these operators is also important: AND operations are always evaluated before OR operations unless parentheses are used to explicitly define the order of operations. Therefore, conditions enclosed in parentheses are evaluated first as per the standard SQL operator precedence.

Given this understanding, let's evaluate the options:

• Option A uses parentheses to group the borrowed_date and transaction_type conditions together, ensuring these are evaluated first before the OR operator. This means the query will return records that meet both of these conditions or records with member_id 'A101' or 'A102', regardless of other conditions.
• Option D does not use parentheses around the borrowed_date and transaction_type conditions but does use them to group the member_id conditions. Since the AND operator has higher precedence than the OR, this query will first evaluate the borrowed_date and transaction_type conditions, then evaluate the grouped member_id conditions. The outcome is records that have a borrowed_date of SYSDATE, a transaction_type of 'RM', and a member_id of either 'A101' or 'A102'.

The results of Options A and D are effectively the same, even though the use of parentheses is different. This is because in both cases, the evaluation of the borrowed_date and transaction_type conditions will be performed first due to their grouping by parentheses in Option A and the precedence of AND over OR in Option D. Therefore, they will both return all records where borrowed_date equals SYSDATE and transaction_type equals 'RM', plus any records where member_id is either 'A101' or 'A102'.

For further details on SQL operator precedence and logical operators, you can refer to Oracle Database SQL Language Reference 12c documentation, specifically the sections on conditional expressions.

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.

B. CREATE INDEX price_idx on products (price); E. ALTER TABLE products DROP UNUSED COLUMNS; F. DROP TABLE products.

Comprehensive and Detailed Explanation WITH all References:

When a table is in read-only mode, most types of modifications are prohibited. However, certain operations can still be performed.

A. Incorrect. You cannot drop a column from a table that is in read-only mode, as it is a modifying operation. B. Correct. You can create an index on a read-only table. Creating an index does not modify the actual rows within the table; it builds a separate structure used for faster access. C. Incorrect. The SET UNUSED statement marks one or more columns as unused so they can be dropped when the database is not busy. This operation is considered a modifying operation and therefore is not allowed on a read-only table. D. Incorrect. Truncate is a DDL operation that would delete all rows from a table. This operation is not allowed on a read-only table. E. Correct. The ALTER TABLE ... DROP UNUSED COLUMNS statement is used to drop columns that have been previously marked as unused using the SET UNUSED statement. This operation is allowed because it only affects previously marked unused columns, not actively used data. F. Correct. Dropping a table is allowed even if it's in read-only mode because it is a DDL operation that does not operate on the rows of the table but rather on the object itself.

The behavior of read-only tables and the operations that can be performed on them are detailed in the Oracle Database SQL Language Reference and Oracle Database Administrator's Guide.

A. This statement is false. In NVL2, the first expression is returned if it is not null.

B. This statement is false. NVL2 takes exactly three arguments, not any number of expressions.

C. This statement is false. COALESCE stops evaluating its list of expressions as soon as it finds the first non-null value.

D. This is true. COALESCE returns the first non-null expression in its list.

E. This statement is true. NVL requires the first and second expressions to be of the same or compatible data types because it returns the first expression if it is not null, otherwise it returns the second.

F. This statement is false. NVL takes exactly two arguments, not any number.

References:

• Oracle Documentation on COALESCE: https://docs.oracle.com/database/121/SQLRF/functions040.htm#SQLRF00625
• Oracle Documentation on NVL: https://docs.oracle.com/database/121/SQLRF/functions130.htm#SQLRF00683
• Oracle Documentation on NVL2: https://docs.oracle.com/database/121/SQLRF/functions123.htm#SQLRF00682