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NEW QUESTION: 1

A. Option A
B. Option C
C. Option D
D. Option E
E. Option B
Answer: A,B,D

NEW QUESTION: 2
Which of the following items can be detected by the HD bayonet ()
A. Driver's face
B. Body color
C. Model size
D. License plate number
E. Vehicle speed
Answer: A,B,C,D,E

NEW QUESTION: 3
You manage an Azure Active Directory (AD) tenant
You plan to allow users to log in to a third-party application by using their Azure AD credentials.
To access the application, users will be prompted for their existing third-party user names and passwords.
You need to add the application to Azure AD.
Which type of application should you add?
A. Password Single Sign-On with identity provisioning
B. Password Single Sign-On without identity provisioning
C. Existing Single Sign-On without identity provisioning
D. Existing Single Sign-On with identity provisioning
Answer: B
Explanation:
Configuring password-based single sign-on enables the users in your organization to be automatically signed in to a third-party SaaS application by Azure AD using the user account information from the third-party SaaS application. When you enable this feature,
Azure AD collects and securely stores the user account information and the related password.
References:
https://azure.microsoft.com/en-gb/documentation/articles/active-directory-appssoaccess- whatis/

NEW QUESTION: 4
Which two types of column filtering may benefit from partition pruning?
A. In-list operators on system-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. Operators on range-partitioned tables
Answer: B,E
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 doingso, 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.