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NEW QUESTION: 1
DRAG DROP
You plan to deploy SQL Server 2014. You are designing two stored procedures named SP1 and SP2 that have the following requirements:
- Prevent data read by SP1 from being modified by other active processes.
- Prevent SP2 from performing dirty reads.
You need to recommend the isolation level for each stored procedure.
The solution must maximize concurrency. Which isolation levels should you recommend?
To answer, drag the appropriate isolation level to the correct stored procedure in the answer area.

Answer:
Explanation:

Explanation:
SP1 - repeatable read; SP2 - read commited
- REPEATABLE READ
This isolation level includes the guarantees given by SNAPSHOT isolation level. In addition, REPEATABLE READ guarantees that for any row that is read by the transaction, at the time the transaction commits the row has not been changed by any other transaction. Every read operation in the transaction is repeatable up to the end of the transaction.
- Committed Read is SQL Server's default isolation level. It ensures that an operation will never read data another application has changed but not yet committed.

NEW QUESTION: 2

A. factory-reset
B. write erase
C. utils SystemUnit FactoryReset Confim: Yes
D. factory-default
E. xCommand SystemUnit FactoryReset Confirm: Yes
Answer: A

NEW QUESTION: 3
See the Exhibit and Examine the structure of the CUSTOMERS table:

Using the CUSTOMERS table, you need to generate a report that shows an increase in the credit limit by 15% for all customers. Customers whose credit limit has not been entered should have the message "Not Available" displayed.
Which SQL statement would produce the required result?
A. SELECT NVL(cust_credit_limit*.15,'Not Available') "NEW CREDIT" FROM customers;
B. SELECT NVL(cust_credit_limit,'Not Available')*.15 "NEW CREDIT" FROM customers;
C. SELECT TO_CHAR(NVL(cust_credit_limit*.15,'Not Available')) "NEW CREDIT" FROM customers;
D. SELECT NVL(TO_CHAR(cust_credit_limit*.15),'Not Available') "NEW CREDIT" FROM customers;
Answer: D
Explanation:
NVL Function
Converts a null value to an actual value:
Data types that can be used are date, character, and number.
Data types must match:
-
NVL(commission_pct,0)
-
NVL(hire_date,'01-JAN-97')
-
NVL(job_id,'No Job Yet')