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Oracle 1z1-071 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Retrieving Data Using SQL SELECT Statement	20%	- Arithmetic operations and NULL handling - Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage
Topic 2: Controlling User Access		- Roles, granting and revoking privileges - System and object privileges
Topic 3: Managing Views		- Create, modify and drop views - Updatable and read-only views
Topic 4: Relational Database Concepts	10%	- Theoretical and physical aspects of relational databases - ERD and SQL statement mapping - Relationship between database and SQL
Topic 5: Using Subqueries to Solve Queries		- Correlated subqueries for update/delete - Single-row and multi-row subqueries
Topic 6: Using Data Dictionary Views		- Retrieve metadata and object information
Topic 7: Displaying Data from Multiple Tables	15%	- Cartesian products - Self-joins and outer joins - Equijoins and non-equijoins
Topic 8: Managing Indexes, Synonyms and Sequences		- Create and use sequences - Create and use synonyms - Create and maintain indexes
Topic 9: Managing Tables and Constraints		- Temporary and external tables - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables
Topic 10: Aggregating Data Using Group Functions	10%	- GROUP BY and HAVING clauses - Handling NULLs in group functions - SUM, AVG, COUNT, MAX, MIN functions
Topic 11: Using Single-Row Functions to Customize Output	20%	- Character, number, and date functions - Nested functions usage
Topic 12: Using SET Operators		- Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators
Topic 13: Working with Time Zones and Date/Time Data		- TIMESTAMP, INTERVAL data types - Time zone conversion functions
Topic 14: Restricting and Sorting Data	15%	- WHERE clause and filtering conditions - Operator precedence - Substitution variables, DEFINE and VERIFY commands - ORDER BY clause and sorting rules
Topic 15: Manipulating Data and Managing Transactions		- Multi-table inserts - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - INSERT, UPDATE, DELETE, MERGE statements
Topic 16: Conversion Functions and Conditional Expressions	10%	- NVL, NULLIF, COALESCE and CASE expressions - TO_CHAR, TO_NUMBER, TO_DATE functions - Implicit and explicit data type conversion

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Oracle Database SQL Sample Questions (Q307-Q312):

NEW QUESTION # 307
The SALES table has columns PROD_ID and QUANTITY_SOLD of data type NUMBER.
Which two queries execute successfully?

A. SELECT prod_id FROM sales WHERE quantity_sold > 55000 AND COUNT(*) > 10 GROUP BY prod_id HAVING COUNT(*) >10;
B. SELECT prod_id FROM sales WHERE quantity_sold > 55000 AND COUNT(*) > 10 GROUP BY COUNT(*) >10;
C. SELECT COUNT(prod_id) FROM sales GROUP BY prod_id WHERE quantity_sold > 55000;
D. SELECT prod_id FROM sales WHERE quantity_sold > 55000 GROUP BY prod_id HAVING COUNT(*) >10;
E. SELECT COUNT (prod_id) FROM sales WHERE quantity_sold > 55000 GROUP BY prod_id;

Answer: D,E

NEW QUESTION # 308
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. ALTER TAELE products DROP COLUMN expiry_date;
B. TRUNCATE TABLE products;
C. ALTER TABLE products SET UNUSED(expiry_date);
D. ALTER TABLE products DROP UNUSED COLUMNS
E. CREATE INDEX price_idx on products (price);
F. DROP TABLE products

Answer: D,E,F

Explanation:
B . CREATE INDEX price_idx on products (price); E. ALTER TABLE products DROP UNUSED COLUMNS; F . DROP TABLE products.
Comprehensive and Detailed Explanation WITH all Reference:
When a table is in read-only mode, most types of modifications are prohibited. However, certain operations can still be performed.
A . Incorrect. You cannot drop a column from a table that is in read-only mode, as it is a modifying operation. B. Correct. You can create an index on a read-only table. Creating an index does not modify the actual rows within the table; it builds a separate structure used for faster access. C. Incorrect. The SET UNUSED statement marks one or more columns as unused so they can be dropped when the database is not busy. This operation is considered a modifying operation and therefore is not allowed on a read-only table. D. Incorrect. Truncate is a DDL operation that would delete all rows from a table. This operation is not allowed on a read-only table. E. Correct. The ALTER TABLE ... DROP UNUSED COLUMNS statement is used to drop columns that have been previously marked as unused using the SET UNUSED statement. This operation is allowed because it only affects previously marked unused columns, not actively used data. F. Correct. Dropping a table is allowed even if it's in read-only mode because it is a DDL operation that does not operate on the rows of the table but rather on the object itself.
The behavior of read-only tables and the operations that can be performed on them are detailed in the Oracle Database SQL Language Reference and Oracle Database Administrator's Guide.

NEW QUESTION # 309
Which two are true about granting privilege on objects?

A. The WITH GRANT OPTION clause can be used only by DBA users
B. A table owner must grant the REFERENCES privilege to allow other users to create FOREIGN KEY constraints using that table
C. An object privilege can be granted to a role only by the owner of that object
D. The owner of an object acquires all object privilege on that object by default
E. An object privilege can be granted to other users only by the owner of that object

Answer: B,D

NEW QUESTION # 310
Which two partitioned table maintenance operations support asynchronous Global Index Maintenance in Oracle database 12c?

A. ALTER TABLE DROP PARTITION
B. ALTER TABLE TRUNCATE PARTITION
C. ALTER TABLE ADD PARTITION
D. ALTER TABLE MERGE PARTITION
E. ALTER TABLE MOVE PARTITION
F. ALTER TABLE SPLIT PARTITION

Answer: A,B

NEW QUESTION # 311
Which two statements are true regarding the COUNTfunction?

A. A SELECTstatement using the COUNTfunction with a DISTINCTkeyword cannot have a WHERE clause.
B. COUNT(DISTINCT inv_amt)returns the number of rows excluding rows containing duplicates and NULLvalues in the INV_AMTcolumn.
C. COUNT(cust_id)returns the number of rows including rows with duplicate customer IDs and NULL value in the CUST_IDcolumn.
D. COUNT (*)returns the number of rows including duplicate rows and rows containing NULLvalue in any of the columns.
E. The COUNTfunction can be used only for CHAR, VARCHAR2, and NUMBERdata types.

Answer: B,D

NEW QUESTION # 312
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