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NEW QUESTION: 1
Examine the structure of the BOOKS_TRANSACTIONS table:

You want to display the member IDs, due date, and late fee as $2 for all transactions.
Which SQL statement must you execute?
A. SELECT member_id 'MEMBER ID', due_date 'DUE DATE', '$2 AS LATE FEE' FROM BOOKS_TRANSACTIONS;
B. SELECT member_id AS "MEMBER ID", due_date AS "DUE DATE", '$2' AS "LATE FEE" FROM BOOKS_TRANSACTIONS
C. SELECT member_id AS "MEMBER ID", due_date AS "DUE DATE", $2 AS "LATE FEE" FROM BOOKS_TRANSACTIONS
D. SELECT member_id AS MEMBER_ID, due_date AS DUE_DATE, $2 AS LATE_FEE
FROM BOOKS_TRANSACTIONS
Answer: B

NEW QUESTION: 2
Which choice is used to delegate the administration of specific machines, desktop pools, or farms to different administrators?
A. Folders
B. Instant Clone Domain Admin
C. Access Groups
D. Global Entitlements
Answer: C

NEW QUESTION: 3
Examine the following anonymous PL/SQL code block of code:

Which two are true concerning the use of this code?
A. ALTER SESSION ENABLE PARALLEL DML must be executed in the session prior to executing the anonymous PL/SQL code.
B. All chunks are committed together once all tasks updating all chunks are finished.
C. The user executing the anonymous PL/SQL code requires execute privilege on the DBMS_JOB package.
D. The user executing the anonymous PL/SQL code requires privilege on the DBMS_SCHEDULER package.
E. Each chunk will be committed independently as soon as the task updating that chunk is finished.
F. The user executing the anonymous PL/SQL code must have the CREATE JOB system privilege.
Answer: D,F
Explanation:
A (not D, not E):
To use DBMS_PARALLEL_EXECUTE to run tasks in parallel, your schema will need the
CREATE JOB system privilege.
E (not C): DBMS_PARALLEL_EXECUTE now provides the ability to break up a large table
according to a variety of criteria, from ROWID ranges to key values and user-defined
methods. You can then run a SQL statement or a PL/SQL block against these different
"chunks" of the table in parallel, using the database scheduler to manage the processes
running in the background. Error logging, automatic retries, and commits are integrated into
the processing of these chunks.
Note:
*The DBMS_PARALLEL_EXECUTE package allows a workload associated with a base table to be broken down into smaller chunks which can be run in parallel. This process
involves several distinct stages. 1.Create a task 2.Split the workload into chunks CREATE_CHUNKS_BY_ROWID CREATE_CHUNKS_BY_NUMBER_COL CREATE_CHUNKS_BY_SQL 3.Run the task RUN_TASK User-defined framework Task control 4.Check the task status 5.Drop the task
*The workload is associated with a base table, which can be split into subsets or chunks of rows. There are three methods of splitting the workload into chunks.
CREATE_CHUNKS_BY_ROWID CREATE_CHUNKS_BY_NUMBER_COL CREATE_CHUNKS_BY_SQL The chunks associated with a task can be dropped using the DROP_CHUNKS procedure.
*CREATE_CHUNKS_BY_ROWID The CREATE_CHUNKS_BY_ROWID procedure splits the data by rowid into chunks specified by the CHUNK_SIZE parameter. If the BY_ROW parameter is set to TRUE, the CHUNK_SIZE refers to the number of rows, otherwise it refers to the number of blocks.
Reference: TECHNOLOGY: PL/SQL Practices, On Working in Parallel