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| Section | Weight | Objectives |
|---|---|---|
| Using Subqueries to Solve Queries | - Correlated subqueries for update/delete - Single-row and multi-row subqueries | |
| Restricting and Sorting Data | 15% | - Substitution variables, DEFINE and VERIFY commands - ORDER BY clause and sorting rules - WHERE clause and filtering conditions - Operator precedence |
| Controlling User Access | - Roles, granting and revoking privileges - System and object privileges | |
| Manipulating Data and Managing Transactions | - Transaction control: COMMIT, ROLLBACK, SAVEPOINT - Multi-table inserts - INSERT, UPDATE, DELETE, MERGE statements | |
| Using Data Dictionary Views | - Retrieve metadata and object information | |
| Aggregating Data Using Group Functions | 10% | - SUM, AVG, COUNT, MAX, MIN functions - Handling NULLs in group functions - GROUP BY and HAVING clauses |
| Managing Indexes, Synonyms and Sequences | - Create and use synonyms - Create and use sequences - Create and maintain indexes | |
| Conversion Functions and Conditional Expressions | 10% | - Implicit and explicit data type conversion - NVL, NULLIF, COALESCE and CASE expressions - TO_CHAR, TO_NUMBER, TO_DATE functions |
| Retrieving Data Using SQL SELECT Statement | 20% | - Column aliases, concatenation, literals and DISTINCT - SELECT statement syntax and usage - Arithmetic operations and NULL handling |
| Managing Views | - Create, modify and drop views - Updatable and read-only views | |
| Working with Time Zones and Date/Time Data | - Time zone conversion functions - TIMESTAMP, INTERVAL data types | |
| Relational Database Concepts | 10% | - ERD and SQL statement mapping - Relationship between database and SQL - Theoretical and physical aspects of relational databases |
| Using SET Operators | - Ordering results with set operations - UNION, UNION ALL, INTERSECT, MINUS operators | |
| Displaying Data from Multiple Tables | 15% | - Equijoins and non-equijoins - Cartesian products - Self-joins and outer joins |
| Managing Tables and Constraints | - Constraints: primary key, foreign key, unique, check, not null - Data types, creating/altering/dropping tables - Temporary and external tables | |
| Using Single-Row Functions to Customize Output | 20% | - Nested functions usage - Character, number, and date functions |
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NEW QUESTION # 382
Examine the data in the CUSTOMERStable:
You want to list all cities that have more than one customer along with the customer details.
Evaluate the following query:
Which two JOIN options can be used in the blank in the above query to give the correct output? (Choose two.) LEFT OUTER JOIN
Answer: A,B
NEW QUESTION # 383
Evaluate the following two queries:
SQL> SELECT cust_last_name, cust_city
FROM customers
WHERE cust_credit_limit IN (1000, 2000, 3000);
SQL> SELECT cust_last_name, cust_city
FROM customers
WHERE cust_credit_limit = 1000 or cust_credit_limit = 2000 or
cust_credit_limit = 3000
Which statement is true regarding the above two queries?
Answer: C
Explanation:
References:
http://oraclexpert.com/restricting-and-sorting-data/
NEW QUESTION # 384
You must create a table for a banking application.
One of the columns in the table has these requirements:
1: A column to store the duration of a short team loan
2: The data should be stored in a format supporting DATE arithmetic with DATE datatypes without using conversion functions.
3: The maximum loan period is 30 days.
4: Interest must be calculated based on the number of days for which the loan remains unpaid.
Which data type would you use?
Answer: B
NEW QUESTION # 385
Which two statements are true regarding the COUNT function? (Choose two.)
Answer: D,E
Explanation:
Using the COUNT Function
The COUNT function has three formats:
COUNT(*)
COUNT(expr)
COUNT(DISTINCT expr)
COUNT(*) returns the number of rows in a table that satisfy the criteria of the SELECT statement, including duplicate rows and rows containing null values in any of the columns. If a WHERE clause is included in the SELECT statement, COUNT(*) returns the number of rows that satisfy the condition in the WHERE clause.
In contrast,
COUNT(expr) returns the number of non-null values that are in the column identified by expr.
COUNT(DISTINCT expr) returns the number of unique, non-null values that are in the column identified by expr.
NEW QUESTION # 386
You want to display 5 percent of the rows from the sales table for products with the lowestAMOUNT_SOLD and also want to include the rows that have the sameAMOUNT_SOLDeven if this causes the output to exceed 5 percent of the rows.
Which query willprovide the required result?
Answer: C
NEW QUESTION # 387
......
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