Código: 1Z0-047
| Prova | Oracle Database SQL Expert |
| Preço | R$ 326,00 |
| Duração | 120 minutos |
| Número de questões | 75 |
| Nota de aprovação | 66% |
| Treinamento oficial recomendado | Oracle Database: Introduction to SQL Ed 1 |
Tópicos do exame
| Retrieving Data Using the SQL SELECT Statement | |
| List the capabilities of SQL SELECT statements | |
| Execute a basic SELECT statement | |
| Describe how schema objects work | |
| Restricting and Sorting Data | |
| Limit the rows that are retrieved by a query | |
| Sort the rows that are retrieved by a query | |
| Using Single-Row Functions to Customize Output | |
| Describe various types of functions that are available in SQL | |
| Use character, number, and date functions in SELECT statements | |
| Describe the use of conversion functions | |
| Reporting Aggregated Data Using the Group Functions | |
| Identify the available group functions | |
| Describe the use of group functions | |
| Group data by using the GROUP BY clause | |
| Include or exclude grouped rows by using the HAVING clause | |
| Displaying Data from Multiple Tables | |
| Write SELECT statements to access data from more than one table using equijoins and nonequijoins | |
| Join a table to itself by using a self-join | |
| View data that generally does not meet a join condition by using outer joins | |
| Generate a Cartesian product of all rows from two or more tables | |
| Using Subqueries to Solve Queries | |
| Define subqueries | |
| Describe the types of problems that subqueries can solve | |
| List the types of subqueries | |
| Write single-row and multiple-row subqueries | |
| Using the Set Operators | |
| Describe set operators | |
| Use a set operator to combine multiple a single query | |
| Control the order of rows returned | |
| Manipulating Data | |
| Describe each data manipulation language (DML) statement | |
| Insert rows into a table | |
| Update rows in a table | |
| Delete rows from a table | |
| Control transactions | |
| Using DDL Statements to Create and Manage Tables | |
| Categorize the main database objects | |
| Review the table structure | |
| List the data types that are available for columns | |
| Create a simple table | |
| Explain how constraints are created at the time of table creation | |
| Creating Other Schema Objects | |
| Create simple and complex views | |
| Retrieve data from views | |
| Create, maintain, and use sequences | |
| Create and maintain indexes | |
| Create private and public synonyms | |
| Managing Objects with Data Dictionary Views | |
| Use the data dictionary views to research data on your objects | |
| Query various data dictionary views | |
| Controlling User Access | |
| Differentiate system privileges from object privileges | |
| Grant privileges on tables | |
| View privileges in the data dictionary | |
| Grant roles | |
| Distinguish between privileges and roles | |
| Managing Schema Objects | |
| Add constraints | |
| Create indexes | |
| Create indexes using the CREATE TABLE statement | |
| Creating function-based indexes | |
| Drop columns and set column UNUSED | |
| Perform FLASHBACK operations | |
| Create and use external tables | |
| Manipulating Large Data Sets | |
| Manipulate data using subqueries | |
| Describe the features of multitable INSERTs | |
| Use the following types of multitable INSERTs (Unconditional, Conditional and Pivot) | |
| Merge rows in a table | |
| Track the changes to data over a period of time | |
| Generating Reports by Grouping Related Data | |
| Use the ROLLUP operation to produce subtotal values | |
| Use the CUBE operation to produce crosstabulation values | |
| Use the GROUPING function to identify the row values created by ROLLUP or CUBE | |
| Use GROUPING SETS to produce a single result set | |
| Managing Data in Different Time Zones | |
| Use Various datetime functions | |
| Retrieving Data Using Subqueries | |
| Write a multiple-column subquery | |
| Use scalar subqueries in SQL | |
| Solve problems with correlated subqueries | |
| Update and delete rows using correlated subqueries | |
| Use the EXISTS and NOT EXISTS operators | |
| Use the WITH clause | |
| Hierarchical Retrieval | |
| Interpret the concept of a hierarchical query | |
| Create a tree-structured report | |
| Format hierarchical data | |
| Exclude branches from the tree structure | |
| Regular Expression Support | |
| Using Meta Characters | |
| Regular Expression Functions | |
| Replacing Patterns | |
| Regular Expressions and Check Constraints | |