Oracle 1Z0-071 Exam Dumps

A: This is true. Using PURGE in the DROP TABLE command will permanently remove the table and its dependent objects so that it cannot be recovered, and the action cannot be rolled back.

B: This statement is true. Dropping the base table will result in the removal of all views that are based on the DEPARTMENTS table.

C: This statement is false. The PURGE option removes the table and does not just delete rows.

D: This statement is true. The DROP TABLE command will remove the DEPARTMENTS table from the database.

E: This statement is true. When a table is dropped, all synonyms for that table are also removed.

F: This statement is true. Dropping a table will automatically drop all indexes associated with the table.

In Oracle Database, object privileges are rights to perform a particular action on a specific object in the database. Here's why the other options are incorrect:

A . UPDATE can be granted on tables, views, and materialized views, but not sequences. B. DELETE cannot be granted on sequences because sequences do not store data that can be deleted. D. INSERT cannot be granted on sequences; sequences are used to generate numbers, not to be inserted into directly. C. REFERENCES allows the grantee to create a foreign key that references the table or the columns of the table. It is applicable only to tables and views. E. SELECT can indeed only be granted on tables and views (including materialized views). F. ALTER is an object privilege that can be granted on tables and sequences but not views.

For more details, one may refer to the Oracle Database SQL Language Reference documentation, which specifies the types of object privileges and the objects they apply to.

Analyzing the given SQL statements on the ORDER_ITEMS table:

D . Statement 2 may return multiple rows of output: Statement 2 groups the results by ORDER_ID, which means it calculates the maximum UNIT_PRICE * QUANTITY for each ORDER_ID, potentially returning multiple rows depending on the number of unique ORDER_IDs in the table.

E . Statement 1 returns only one row of output: Statement 1 computes the maximum product of UNIT_PRICE and QUANTITY across all entries in the ORDER_ITEMS table, returning a single row with the maximum value.

Incorrect options:

A: Since Statement 2 groups by ORDER_ID, it does not necessarily return just one row; it returns one row per ORDER_ID.

B: These statements do not yield the same output; Statement 1 returns a single maximum value, while Statement 2 returns the maximum value per ORDER_ID.

C: If either UNIT_PRICE or QUANTITY is NULL, the product for that row will be NULL, but the MAX function ignores NULL values in its calculation unless all rows are NULL, in which case it returns NULL.

In SQL, the correct usage of conversion functions is crucial when performing operations on dates. Oracle uses the TO_DATE function to convert a string to a date, and the TO_CHAR function to convert dates or numbers to strings.

Statement C is correct: WHERE order_date > TO_DATE('JUL 10 2018','MON DD YYYY'); is a proper use of the TO_DATE function. It converts the string 'JUL 10 2018' to a date type, with the format 'MON DD YYYY', which is then used to compare with the order_date.

Statements A, B, D, and E are incorrect or misuse conversion functions:

A is incorrect because TO_CHAR is used to convert dates or numbers to strings, not the other way around, and therefore should not be compared with order_date.

B is incorrect because order_date is of type DATE, and you should not compare a DATE with a string without converting it; the TO_CHAR here should be TO_DATE.

D is incorrect because it mixes TO_DATE and TO_CHAR in the same IN list, which should contain date types only.

E is incorrect because TO_DATE should take a string as an argument, not a date returned by ADD_MONTHS.

D . True. The TRUNC function, when applied to the difference between SYSDATE and hire_date divided by 7, will return the number of complete weeks of employment. The ORDER BY tenure DESC will sort the result in descending order, starting with the longest-serving employee.

A is incorrect because it does not include the DESC keyword necessary to start with the longest-serving employee. B is incorrect because ROUND could result in rounding up to the next week, which does not give the number of complete weeks. C is incorrect because the division is done by 17 instead of 7, which is likely a typo, and ROUND is used instead of TRUNC.