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Oracle 1z0-071 Exam Syllabus Topics:

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

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Oracle Database SQL Sample Questions (Q130-Q135):

NEW QUESTION # 130
Which three are true about the MERGE statement?

A. It can use subqueries to produce source rows.
B. It can update, insert, or delete rows conditionally in multiple tables.
C. It can use views to produce source rows.
D. It can combine rows from multiple tables conditionally to insert into a single table.
E. It can update the same row of the target table multiple times.
F. It can merge rows only from tables.

Answer: A,B,C

NEW QUESTION # 131
Examine this description of the PRODUCTS table:

Rows exist in this table with data in all the columns. You put the PRODUCTS table in read-only mode. Which three commands execute successfully on PRODUCTS?

A. TRUNCATE TABLE products;
B. ALTER TABLE products SET UNUSED(expiry_date);
C. ALTER TABLE products DROP UNUSED COLUMNS
D. ALTER TAELE products DROP COLUMN expiry_date;
E. CREATE INDEX price_idx on products (price);
F. DROP TABLE products

Answer: C,E,F

NEW QUESTION # 132
Which two statements are true about outer Joins?

A. The outer join operator (+) is used next to the column of the table without the matching rows.
B. The IN operator cannot be used in a condition that Involves an outer join.
C. The outer join operator (+) can be used on both sides of the join condition in an outer join.
D. A condition representing an outer join cannot be linked to another condition using the or logical operator.
E. An outer join is used to retrieve only the rows that do not meet the join condition.

Answer: A,D

Explanation:
Regarding the usage and rules of outer joins in SQL, specifically Oracle SQL:
D . A condition representing an outer join cannot be linked to another condition using the OR logical operator: In SQL, when using the Oracle-specific (+) notation for outer joins, it is not permitted to combine this condition with another using the OR operator. The use of (+) imposes restrictions to ensure the join logic is correctly interpreted.
E . The outer join operator (+) is used next to the column of the table without the matching rows: The (+) symbol in Oracle's SQL syntax denotes the table that should include "null" where data does not exist to satisfy the join condition, effectively including rows that do not have a match in the joined table.
Incorrect options:
A: The (+) operator cannot be used on both sides of a condition within the same join; it can only appear on one side to define which side of the join is the outer part.
B: An outer join is used to retrieve all rows from one table and the matched rows from the other table; it does not solely retrieve rows that do not meet the join condition.
C: The IN operator can be used in conditions involving an outer join, although specific rules and behaviors need to be considered depending on the SQL version and implementation.

NEW QUESTION # 133
Examine the description or the CUSTOMERS table:

For Customers whose income level has a value, you want to display the first name and due amount as 5% of their credit limit. Customers whose due amount is null should not be displayed.
Which query should be used?

A. SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMONT FROM customers WHERE cust_income_level IS NOT NULL AND due_amount IS NOT NULL;
B. SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMONT FROM customers WHERE cust_income_level != NULL AND due_amount != NULL;
C. SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMONT FROM customers WHERE cust_income_level <> NULL AND due_amount <> NULL;
D. SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMONT FROM customers WHERE cust_income_level IS NOT NULL AND cust_credit_limit IS NOT NULL;
E. SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMOUNT FROM customers WHERE cust_income_level != NULL AND cust_credit_level != NULL;

Answer: D

Explanation:
In Oracle SQL, the correct way to check for non-null values is to use the IS NOT NULL condition. Using != NULL or <> NULL is incorrect because NULL represents the absence of any value, and you cannot use equality or inequality operators to check for NULL.
C . SELECT cust_first_name, cust_credit_limit * .05 AS DUE_AMOUNT FROM customers WHERE cust_income_level IS NOT NULL AND cust_credit_limit IS NOT NULL; This query will correctly filter out any customers with a NULL income level or credit limit and then calculate the due amount as 5% of their credit limit for the remaining customers.
Reference:
Oracle Database SQL Language Reference 12c, especially sections on conditions and expressions that deal with NULL values.

NEW QUESTION # 134
Examine the data in the ORD_ITEMStable:

Evaluate this query:

Which statement is true regarding the result?

A. It displays the item nos with their average quantity where the average quantity is more than double the minimum quantity of that item in the table.
B. It returns an error because all the aggregate functions used in the HAVING clause must be specified in the SELECT list.
C. It displays the item nos with their average quantity where the average quantity is more than double the overall minimum quantity of all the items in the table.
D. It returns an error because the HAVING clause should be specified after the GROUP BY clause.

Answer: A

NEW QUESTION # 135
......

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