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Oracle 1z0-071 Exam Syllabus Topics:

Section	Weight	Objectives
Using SET Operators		- Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators
Managing Indexes, Synonyms and Sequences		- Create and use synonyms - Create and maintain indexes - Create and use sequences
Relational Database Concepts	10%	- ERD and SQL statement mapping - Relationship between database and SQL - Theoretical and physical aspects of relational databases
Conversion Functions and Conditional Expressions	10%	- NVL, NULLIF, COALESCE and CASE expressions - Implicit and explicit data type conversion - TO_CHAR, TO_NUMBER, TO_DATE functions
Aggregating Data Using Group Functions	10%	- GROUP BY and HAVING clauses - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions
Displaying Data from Multiple Tables	15%	- Self-joins and outer joins - Equijoins and non-equijoins - Cartesian products
Managing Tables and Constraints		- Data types, creating/altering/dropping tables - Temporary and external tables - Constraints: primary key, foreign key, unique, check, not null
Managing Views		- Create, modify and drop views - Updatable and read-only views
Manipulating Data and Managing Transactions		- INSERT, UPDATE, DELETE, MERGE statements - Multi-table inserts - Transaction control: COMMIT, ROLLBACK, SAVEPOINT
Working with Time Zones and Date/Time Data		- Time zone conversion functions - TIMESTAMP, INTERVAL data types
Restricting and Sorting Data	15%	- WHERE clause and filtering conditions - Substitution variables, DEFINE and VERIFY commands - Operator precedence - ORDER BY clause and sorting rules
Using Single-Row Functions to Customize Output	20%	- Character, number, and date functions - Nested functions usage
Controlling User Access		- System and object privileges - Roles, granting and revoking privileges
Using Data Dictionary Views		- Retrieve metadata and object information
Using Subqueries to Solve Queries		- Correlated subqueries for update/delete - Single-row and multi-row subqueries
Retrieving Data Using SQL SELECT Statement	20%	- Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage - Arithmetic operations and NULL handling

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Oracle Database SQL Sample Questions (Q83-Q88):

NEW QUESTION # 83
Which statement falls to execute successfully?

A. SELECT *
FROM employees e
JOIN departments d
ON e.department_id=d.department_id
AND d.department_id=90;
B. SELECT *
FROM employees e
JOIN departments d
ON e.department_id=d.department_id
WHERE d.department_id=90;
C. SELECT *
FROM employees e
JOIN departments d
ON d.departments_id=90
WHERE e.department_id=d.department_id;
D. SELECT *
FROM employees e
JOIN department d
WHERE e.department_id=d.department_id
AND d.department_id=90;

Answer: D

Explanation:
A: SELECT * FROM employees e JOIN department d WHERE e.department_id=d.department_id AND d.department_id=90: This statement will fail because it incorrectly uses the JOIN syntax without an ON clause, which is necessary to specify the condition on which the tables are joined. This statement mistakenly places the join condition in the WHERE clause without using ON.
Correct options (executes successfully):
B: Correctly formulated JOIN with ON and an additional condition in the WHERE clause.
C: Incorporates the filtering directly in the ON clause, which is a valid method to restrict the rows returned by the JOIN based on conditions related to both tables.
D: Although it appears awkward due to the order of conditions in the ON clause, it is syntactically correct.
These answers reflect typical use and constraints in SQL queries and are aligned with Oracle Database 12c standards for SQL syntax and operations.
Explanation:
Given the statements, the failure to execute would be due to improper SQL syntax or logical structuring of the JOIN clause:

NEW QUESTION # 84
Examine the structure of the BOOKS_ TRANSACTIONS table:

Examine the SQL statement:

Which statement is true about the outcome?

A. It displays details for members who have borrowed before today's date with either RM as TRANSACTION_TYPE or MEMBER_ID as A101 and A102.
B. It displays details for members who have borrowed before today with RM as TRANSACTION_TYPE and the details for members A101 or A102.
C. It displays details only for members who have borrowed before today with RM as TRANSACTION_TYPE.
D. It displays details for only members A101and A102 who have borrowed before today with RM as TRANSACTION_TYPE.

Answer: C

NEW QUESTION # 85
View the exhibit and examine the data in the PROJ_TASK_DETAILS table. (Choose the best answer.)

The PROJ_TASK_DETAILS table stores information about project tasks and the relation between them.
The BASED_ON column indicates dependencies between tasks.
Some tasks do not depend on the completion of other tasks.
You must generate a report listing all task IDs, the task ID of any task upon which it depends and the name of the employee in charge of the task upon which it depends.
Which query would give the required result?

A. SELECT p.task_id, p.based_on, d.task_in_chargeFROM proj_task_details p JOIN proj_task_details dON (p.based_on = d.task_id);
B. SELECT p.task_id, p.based_on, d.task_in_chargeFROM proj_task_details p FULL OUTER JOIN proj_task_details dON (p.based_on = d.task_id);
C. SELECT p.task_id, p.based_on, d.task_in_chargeFROM proj_task_details p JOIN proj_task_details dON (p.task_id = d.task_id);
D. SELECT p.task_id, p.based_on, d.task_in_chargeFROM proj_task_details p LEFT OUTER JOIN proj_task_details dON (p.based_on = d.task_id);

Answer: D

NEW QUESTION # 86
Examine the description of the PRODUCT_INFORMATION table:

A. BELECT COUNT(list_price) FROM product_information where list_price is NULL;
B. SELECT count(nvl( list_price,0)) FROM product_information WHERE list_price is null;
C. SELECT COUNT(DISTINCT list_price) FROM product_information WHERE list_price is null.
D. SELECT (COUNT(list_price) FROM Product_intormation WHERE list_price=NULL;

Answer: B

NEW QUESTION # 87
Examine this SQL statement:

Which two are true?

A. The subquery is not a correlated subquery.
B. The subquery is executed before the UPDATE statement is executed.
C. The UPDATE statement executes successfully even if the subquery selects multiple rows.
D. The subquery is executed for every updated row in the ORDERS table.
E. All existing rows in the ORDERS table are updated.

Answer: C,D

NEW QUESTION # 88
......

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