Tag: technology

Questions Related to technology

  1. Sum up value in the fields specified in the SORT FIELDS statement and keep it as only one occurence in the o/p

  2. Removes the duplicates for the fields specified in the SORT FIELDS statement and keeps only the 1st occurence of it

  3. Works only for those records in the i/p file where no duplicates for the fields specified in SORT FIELDS statement,

  4. None of the above


Correct Option: B
  1. a) Both are Unix scheduling utilities

  2. b) at is restricted one and crontab is not restricted

  3. c) No difference

  4. d) at takes input from user while cron takes from a confiuration file


Correct Option: D
  1. convert 10 to 'TEN'

  2. convert '10' to 10

  3. convert '10' to '10'

  4. convert 'TEN' to 10


Correct Option: C
  1. The indexed column is declared as NOT NULL.

  2. The indexed columns are used in the FROM clause.

  3. The indexed columns are part of an expression.

  4. The indexed column contains a wide range of values.


Correct Option: D
  1. a) telnet works only with terminals where rsh works for all

  2. b) telnet is unix product while rsh is a TCP product

  3. c) telnet uses byte protocol while rsh uses stream protocol

  4. d) No difference. They can be used interchangably


Correct Option: C

Which operator can be used with a multiple-row subquery?

  1. =

  2. LIKE

  3. BETWEEN

  4. NOT IN

  5. Is

  6. <>


Correct Option: D

AI Explanation

To answer this question, you need to understand the concept of subqueries in SQL.

A subquery is a query that is nested inside another query. It is used to retrieve data from one or more tables and use that result in the outer query. In the case of a multiple-row subquery, the subquery returns more than one row.

When using a multiple-row subquery, you can use various operators to compare the result of the subquery with the outer query. The correct answer in this case is option D) NOT IN.

The NOT IN operator is used to exclude rows from the result set that match the values returned by the subquery. It returns rows from the outer query where the value of a specified column does not match any value returned by the subquery.

Here's an explanation of each option:

A. = (Equals) - This operator is used to compare two values for equality. However, it is not specifically designed to work with multiple-row subqueries.

B. LIKE - The LIKE operator is used to compare a value to a pattern. It is typically used for pattern matching with wildcard characters. It is not specifically designed to work with multiple-row subqueries.

C. BETWEEN - The BETWEEN operator is used to check if a value is within a range of values. It is not specifically designed to work with multiple-row subqueries.

D. NOT IN - This operator is used to exclude rows that match the values returned by the subquery. It is specifically designed to work with multiple-row subqueries.

E. IS - The IS operator is used to compare a value to NULL. It is not specifically designed to work with multiple-row subqueries.

F. <> (Not Equal) - This operator is used to compare two values for inequality. It is not specifically designed to work with multiple-row subqueries.

In conclusion, the correct answer is D) NOT IN because it is the operator specifically designed to work with multiple-row subqueries.