IBM Datastage Quiz

Description: IBM Datastage Quiz
Number of Questions: 8
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Tags: datastage
Attempted 0/8 Correct 0 Score 0
  1. Shell Script

  2. OSH

  3. Scriptella

  4. All the above


Correct Option: B

This method is useful for resizing partitions of an input data set that are not equal in size.

  1. Range

  2. Round Robin

  3. Hash

  4. Same


Correct Option: B

AI Explanation

To answer this question, you need to understand different methods for resizing partitions of an input data set.

Option A) Range - This option is incorrect because the range method is used to divide a data set into partitions based on a specified range of values. It is not specifically designed for resizing partitions that are not equal in size.

Option B) Round Robin - This option is correct. The round robin method is a useful technique for resizing partitions of an input data set that are not equal in size. In this method, each partition is allocated an equal amount of data in a cyclic manner. This ensures that each partition receives a fair share of the data, even if the partitions have different sizes.

Option C) Hash - This option is incorrect. The hash method is used to allocate data to partitions based on a hash function. It is not specifically designed for resizing partitions that are not equal in size.

Option D) Same - This option is incorrect because the "Same" method implies that all partitions will have the same size. It is not suitable for resizing partitions that are not equal in size.

The correct answer is B) Round Robin. This option is correct because the round robin method is specifically designed for resizing partitions of an input data set that are not equal in size.

  1. UNIX

  2. LINUX

  3. WINDOWS

  4. ALL THE ABOVE


Correct Option: C

How to run the dsjob in command prompt ?

  1. run dsjob

  2. $dsjob -run

  3. dsjob run

  4. $run -dsjob


Correct Option: B
  1. 10

  2. 6

  3. 8

  4. infinity


Correct Option: C
Explanation:

To solve this question, the user needs to have knowledge of Datastage 8.5 and the concept of nodes in Datastage.

In Datastage 8.5, the maximum number of nodes that can be configured depends on the edition of Datastage. The user needs to know that the correct answer will be the maximum number of nodes that can be configured in Datastage 8.5.

Now, let's go through each option and explain why it is right or wrong:

A. 10: This option is incorrect because Datastage 8.5 does not support a maximum of 10 nodes. The maximum number of nodes that can be configured in Datastage 8.5 is less than 10.

B. 6: This option is incorrect because Datastage 8.5 does not support a maximum of 6 nodes. The maximum number of nodes that can be configured in Datastage 8.5 is less than 6.

C. 8: This option is correct. In Datastage 8.5, the maximum number of nodes that can be configured is 8. This means that a Datastage 8.5 environment can have a maximum of 8 nodes.

D. infinity: This option is incorrect because Datastage 8.5 does not support an infinite number of nodes. There is a maximum limit to the number of nodes that can be configured in Datastage 8.5.

The Answer is: C. 8

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