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NEW QUESTION: 1
Which of the following are the main states of a file in GIT?
A. Modified
B. Released
C. Changed
D. Committed
Answer: A,B,D

NEW QUESTION: 2
Which two types of column filtering may benefit from partition pruning?
A. Operators on range-partitioned tables
B. Equally operates on range-partitioned tables.
C. Equality operators on system-partitioned tables
D. Greater than operators on hash-partitioned tables
E. In-list operators on system-partitioned tables
Answer: A,B
Explanation:
The query optimizer can perform pruning whenever a WHERE condition can be reduced to either one of the following two cases:
partition_column = constant
partition_column IN (constant1, constant2, ..., constantN)
In the first case, the optimizer simply evaluates the partitioning expression for the value given, determines which partition contains that value, and scans only this partition. In many cases, the equal sign can be replaced with another arithmetic comparison, including <, >, <=, >=, and <>. Some queries using BETWEEN in the WHERE clause can also take advantage of partition pruning.
Note:
*The core concept behind partition pruning is relatively simple, and can be described as "Do not scan partitions where there can be no matching values".
When the optimizer can make use of partition pruning in performing a query, execution of the query can be an order of magnitude faster than the same query against a nonpartitioned table containing the same column definitions and data.
*Example:
Suppose that you have a partitioned table t1 defined by this statement:
CREATE TABLE t1 (
fname VARCHAR(50) NOT NULL,
lname VARCHAR(50) NOT NULL,
region_code TINYINT UNSIGNED NOT NULL,
dob DATE NOT NULL
)
PARTITION BY RANGE( region_code ) (
PARTITION p0 VALUES LESS THAN (64),
PARTITION p1 VALUES LESS THAN (128), PARTITION p2 VALUES LESS THAN (192), PARTITION p3 VALUES LESS THAN MAXVALUE ); Consider the case where you wish to obtain results from a query such as this one: SELECT fname, lname, region_code, dob FROM t1 WHERE region_code > 125 AND region_code < 130; It is easy to see that none of the rows which ought to be returned will be in either of the partitions p0 or p3; that is, we need to search only in partitions p1 and p2 to find matching rows. By doing so, it is possible to expend much less time and effort in finding matching rows than would be required to scan all partitions in the table. This"cutting away" of unneeded partitions is known as pruning.

NEW QUESTION: 3
The following XML expression checks for the existence of a first name and will raise an error if the first name field is empty.

Where should this expression be located?
A. Inside the <form> element of a form only
B. Inside the master container element within the form
C. Inside an external JavaScript file which is linked to from within a form container.
D. Inside the main table element of the data schema.
Answer: D