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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Restricting and Sorting Data | 6% | - Sort the rows that are retrieved by a query - Use ampersand substitution to restrict and sort output at runtime - Use DEFINE and UNDEFINE commands - Limit the rows that are retrieved by a query |
| Topic 2: Retrieving Data Using the SQL SELECT Statement | 5% | - List the capabilities of SQL SELECT statements - Execute a basic SELECT statement - Differentiate between SQL statements and SQL*Plus commands |
| Topic 3: Using Subqueries to Solve Queries | 15% | - Define subqueries - Describe the types of problems that subqueries can solve - List the types of subqueries - Write single-row and multi-row subqueries |
| Topic 4: Manipulating Data | 14% | - Delete rows from a table - Describe each data manipulation language (DML) statement - Insert rows into a table - Control transactions - Update rows in a table |
| Topic 5: Displaying Data from Multiple Tables Using Joins | 15% | - Write SELECT statements to access data from more than one table using equijoins and non-equijoins - Join a table to itself by using a self-join - Cross join tables - View data that does not meet a join condition by using outer joins |
| Topic 6: Using Conversion Functions and Conditional Expressions | 10% | - Describe implicit and explicit data type conversion - Apply the NVL, NULLIF, and COALESCE functions to data - Use the TO_CHAR, TO_NUMBER, and TO_DATE conversion functions - Use conditional IF THEN ELSE logic in a SELECT statement |
| Topic 7: Creating Other Schema Objects | 10% | - Create and maintain indexes - Create synonyms for database objects - Create, maintain, and use sequences - Create, modify, and retrieve data from a view |
| Topic 8: Using Single-Row Functions to Customize Output | 10% | - Manipulate strings with character function in the SELECT and WHERE clauses - Manipulate dates with the date functions - Manipulate numbers with the ROUND, TRUNC, and MOD functions - Perform arithmetic with date data - Describe the differences between single-row and multiple-row functions |
| Topic 9: Using Set Operators | 5% | - Use a set operator to combine multiple queries into a single query - Describe the order of precedence when the set operators are used - Describe set operators |
| Topic 10: Working with Oracle Database SQL | 8% | - Create a container database - Start up and shut down a database - Explain the installation of Oracle Database software - Describe the Oracle Database architecture |
| Topic 11: Reporting Aggregated Data Using Group Functions | 15% | - Describe the use of group functions - Include or exclude grouped rows by using the HAVING clause - Identify the available group functions - Group data by using the GROUP BY clause |
| Topic 12: Controlling User Access | 5% | - Grant privileges on tables and on a view - Distinguish between granting privileges and roles - Differentiate system privileges from object privileges |
| Topic 13: Using DDL Statements to Create and Manage Tables | 14% | - Alter table definitions - Describe the data types that are available for columns - Create a simple table - Drop, rename, and truncate tables - Review the table structure - Categorize the main database objects |
>> Latest 1z1-071 Exam Question <<
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NEW QUESTION # 410
Examine this SQL statement:
DELETE FROM employees e
WHERE EXISTS
(SELECT'dummy'
FROM emp_history
WHERE employee_id = e.employee_id)
Which two are true?
Answer: B,E
Explanation:
The provided DELETE statement uses a correlated subquery to determine which rows should be deleted from the EMPLOYEES table.
* A. The subquery is indeed executed for every row in the EMPLOYEES table. This is because it references e.employee_id, which is a column from the outer query, making it a correlated subquery.
* B. The subquery is a correlated subquery, as explained above.
* C. The subquery is executed for each row, not before the DELETE statement.
* D. Not all existing rows in the EMPLOYEES table are deleted, only those that have a corresponding employee_id in the EMP_HISTORY table.
* E. The DELETE statement executes successfully even if the subquery selects multiple rows because the EXISTS condition only checks for the presence of rows, not their count.
References:
* Oracle Database SQL Language Reference 12c Release 1 (12.1), DELETE Statement
* Oracle Database SQL Language Reference 12c Release 1 (12.1), Subquery Factoring
* Oracle Database SQL Language Reference 12c Release 1 (12.1), Correlated Subqueries
NEW QUESTION # 411
View the Exhibit and examine the description of the EMPLOYEES table.
You want to calculate the total renumeration for each employee. Total renumeration is the sum of the annual salary and the percentage commission earned for a year. Only a few employees earn commission.
Which SQL statement would you execute to get the desired output?
Answer: B
NEW QUESTION # 412
Which three statements are true about the ALTER TABLE....DROP COLUMN....command?
Answer: B,C,D
NEW QUESTION # 413
Examine the description of the EMPLOYEES table:
Which two queries return rows for employees whose manager works in a different department?
Answer: B,C
Explanation:
To find employees whose manager works in a different department, you can use a subquery or a join that compares the DEPARTMENT_ID of the employee with the DEPARTMENT_ID of their manager.
A). This query is incorrect because the NOT IN subquery incorrectly attempts to compare EMPLOYEE_ID with MANAGER_ID, and the correlation condition inside the subquery is incorrect.
B). This query is correct. The NOT EXISTS clause correctly identifies employees whose MANAGER_ID matches the EMPLOYEE_ID of another employee (mgr) and where the DEPARTMENT_ID differs from that manager's DEPARTMENT_ID.
C). This query is incorrect because the LEFT JOIN will return all employees, and there is no WHERE clause to filter out those employees whose managers are in the same department.
D). This query is incorrect. The RIGHT JOIN does not ensure that the resulting rows are for employees whose manager works in a different department. It also returns all managers, which is not the requirement.
E). This query is correct. The JOIN ensures that the returned rows are for employees (emp) whose MANAGER_ID matches the EMPLOYEE_ID of managers (mgr), and it correctly filters to include only those employees whose DEPARTMENT_ID is different from their manager's DEPARTMENT_ID.
NEW QUESTION # 414 
Which two queries will result in an error?
Answer: A,F
NEW QUESTION # 415
......
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