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Oracle 1Z0-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Displaying Data from Multiple Tables | 15% | - Equijoins and non-equijoins - ANSI/ISO SQL99 joins - Outer joins and self-joins |
| Subqueries | 10% | - Using IN, ANY, ALL operators - Single-row and multi-row subqueries |
| Creating and Managing Tables | 9% | - CREATE, ALTER, DROP, RENAME tables - Data types and constraints - Managing indexes, sequences, synonyms, views |
| Aggregating Data Using Group Functions | 13% | - Using COUNT, SUM, AVG, MAX, MIN - Filtering groups with HAVING - GROUP BY clause |
| Writing Basic SQL SELECT Statements | 15% | - Capabilities of SQL SELECT statements - SQL vs iSQL*Plus commands - Executing basic SELECT statements |
| Single-Row Functions | 18% | - Conversion functions (TO_CHAR, TO_NUMBER, TO_DATE) - Character, number, and date functions - Conditional expressions (NVL, DECODE) |
| Restricting and Sorting Data | 12% | - Sorting results with ORDER BY - Limiting rows with WHERE clause - Using substitution variables |
| Manipulating Data | 8% | - INSERT, UPDATE, DELETE statements - Transaction control (COMMIT, ROLLBACK, SAVEPOINT) |
Oracle Introduction to Oracle9i: SQL Sample Questions:
Which two tasks can your perform by using the TO_CHAR function? (Choose two)
- A. Convert a date to a character expression
- B. Convert a character expression to a date
- C. Convert 10 to 'TEN'
- D. Convert 10 to '10'
- E. Convert 'TEN' to 10
- F. Convert '10' to 10
Correct Answer: A,D 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
Exhibit
Examine the data in the EMPLOYEES and DEPARTMENTS tables.
You want to retrieve all employees' last names, along with their manager's last names and their department names. Which query would you use?
- A. SELECT e.last_name, m.last_name, department_name
FROM employees e
RIGHT OUTER JOIN employees m on ( e.manager_id = m.employee_id)
RIGHT OUTER JOIN departments d ON (e.department_id = d.department_id) - B. SELECT last_name, manager_id, department_name
FROM employees e
JOIN departments d ON (e.department_id = d.department_id) ; - C. SELECT e.last_name, m.last_name, department_name
FROM employees e
LEFT OUTER JOIN employees m on ( e.managaer_id = m.employee_id)
LEFT OUTER JOIN departments d ON (e.department_id = d.department_id); - D. SELECT e.last_name, m.last_name, department_name
FROM employees e
LEFT OUTER JOIN employees m on ( e.manager_id = m.employee_id)
RIGT OUTER JOIN departments d ON (e.department_id = d.department_id); - E. SELECT e.last_name, m.last_name, department_name
FROM employees e
RIGT OUTER JOIN employees m on ( e.manager_id = m.employee_id)
LEFT OUTER JOIN departments d ON (e.department_id = d.department_id); - F. SELECT last_name, manager_id, department_name
FROM employees e
FULL OUTER JOIN departments d ON (e.department_id = d.department_id);
Correct Answer: C 🗳️
In which scenario would index be most useful?
- A. The indexed columns are used in the FROM clause.
- B. The indexed columns are part of an expression.
- C. The indexed column is declared as NOT NULL.
- D. The indexed column contains a wide range of values.
Correct Answer: D 🗳️
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Which two are true about aggregate functions? (Choose two.)
- A. You can use aggregate functions only in the column list of the SELECT clause and in the WHERE clause of a SELECT statement.
- B. You can mix single row columns with aggregate functions in the column list of a SELECT statement by grouping on the single row columns.
- C. You can use aggregate functions on a table, only by grouping the whole table as one single group.
- D. You cannot group the rows of a table by more than one column while using aggregate functions.
- E. You can use aggregate functions in any clause of a SELECT statement.
- F. You can pass column names, expressions, constants, or functions as parameters to an aggregate function.
Correct Answer: B,F 🗳️
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In which case would you use a FULL OUTER JOIN?
- A. You want all matched and unmatched data from only one table.
- B. You want all unmatched data from one table.
- C. One of the tables has more data than the other.
- D. You want all matched data from both tables.
- E. Both tables have NULL values.
- F. You want all unmatched data from both tables.
Correct Answer: F 🗳️
Explanation: Only visible for TestsDumps members. You can sign-up / login (it's free).
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