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試験科目:「Oracle Global Human Resources Cloud 2016 Implementation Essentials」



問題と解答:全82問 1z1-329復習教材

>> 1z1-329復習教材



試験科目:「Oracle Database SQL Expert」



問題と解答:全264問 1Z0-047日本語解説集

>> 1Z0-047日本語解説集



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Oracle Database SQL Expert

Exam Number: 1Z0-047 / 1Z0-047

Duration: 120 minutes

Associated Certifications:
Oracle Database SQL Certified Expert

Number of Questions:

Exam Product Version: SQL and PL/SQL,

Passing Score: 66%

Exam Price: US$ 150

Validated Against:

This exam has been validated against Oracle Database 10g, Oracle Database 11g, Oracle Database 11g Release 2, and Oracle Database 12c Release 1.


format: Multiple Choice



Recommended Training


    • Oracle Database: Introduction to SQL






    • Oracle Database: SQL Workshop I and 


    • Oracle Database: SQL Workshop II


Free Online Practice Test Demo



    • 1Z0-047 Oracle Database SQL Expert



Exam Preparation Seminar


(This version of the Exam Prep Seminar covers only the objectives included before September 15, 2014. A new version that covers all objectives will be released soon.)



    • Certification Exam Preparation Seminar: Oracle Database SQL


    • Exam Prep Seminar Value Package: Oracle Database SQL



Practice Exams



    • Practice Exam: Oracle authorized practice exam from Kaplan SelfTest. 1Z0-047 Oracle Database SQL Expert


    • Practice Exam: Oracle authorized practice exam from Transcender: Cert-1Z0-047 DBCert: Oracle Database SQL Expert


    • Sample Questions



Additional Training:



    • These courses will prepare you for most topics on the exam.  Exceptions are the topics introduced effective September 15, 2014.

        • Oracle Database: Introduction to SQL OR


    • These earlier courses are still valid exam preparation tools but are no longer being scheduled:

        • Oracle Database 10g: Introduction to SQL

        • Oracle Database 11g: Introduction to SQL

        • Oracle Database 10g: SQL Fundamentals I AND Oracle Database 10g: SQL Fundamentals II

        • Oracle Database 11g: SQL Fundamentals I AND Oracle Database 11g: SQL Fundamentals II






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


    • Use the SQL row limiting clause**


    • Create queries using the PIVOT and UNPIVOT clause**


    • Use pattern matching to recognize patterns across multiple rows in a table**



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 (Updated to "Use character, number, and date and analytical (PERCENTILE_CONT, STDDEV, LAG, LEAD) functions in SELECT statements" September 15, 2014)**


    • 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 


    • Use the cross_outer_apply_clause**



Using Subqueries to Solve Queries



    • Define subqueries*


    • Describe the types of problems that subqueries can solve*


    • Use subqueries**


    • List the types of subqueries 


    • Write single-row and multiple-row subqueries


    • Create a lateral inline view in a query**



Using the Set Operators



    • Describe set operators


    • Use a set operator to combine multiple queries into 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


    • Truncate tables, and recursively truncate child tables**


    • Use 12c enhancements to the DEFAULT clause, invisible columns, virtual columns and identity columns in table creation/alteration**



Creating Other Schema Objects



    • Create simple and complex views (Updated to "Create simple and complex views with visible/invisible columns on September 15, 2014)**


    • 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 (Updated to Grant privileges on tables and on a user on September 15, 2014)**


    • View privileges in the data dictionary  


    • Grant roles  


    • Distinguish between privileges and roles 



Managing Schema Objects



    • Add constraints


    • Create indexes (Updated to "Create and maintain indexes including invisible indexes and multiple indexes on the same columns" on September 15, 2014)**


    • 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


    • Use explicit default values in INSERT and UPDATE statements**



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

        • TZ_OFFSET

        • FROM_TZ

        • TO_TIMESTAMP




        • CURRENT_DATE



        • DBTIMEZONE


        • EXTRACT



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



    • Use Meta Characters


    • Regular Expression Functions 


    • Use Replacing Patterns 


    • Use Regular Expressions and Check Constraints



*These objectives are removed effective 15 Sept 2014.


**These objectives are added or updated effective 15 Sept 2014.