C2090-421 Exam Details

  • Exam Code
    :C2090-421
  • Exam Name
    :InfoSphere DataStage v8.5
  • Certification
    :IBM Certifications
  • Vendor
    :IBM
  • Total Questions
    :194 Q&As
  • Last Updated
    :Dec 27, 2019

IBM C2090-421 Online Questions & Answers

  • Question 191:

    You are setting up the parallel engine configuration file. Which two statements are true about file system efficiency? (Select two)

    A. Using multiple scratch spaces in a logical node improves performance.
    B. Creating scratch disk space on an internal disk improves sort performance than NFS drive.
    C. Specify a directory for the resource disk in the partition where the engine is installed.
    D. In a clustered environment where NAS is used for a common storage,specify the internal disk for scratch disk.

  • Question 192:

    Which two statements are true about project-level configuration for National Language Support (NLS)? (Select two)

    A. Choose NVarChar for string fields.
    B. Change the Parallel job project map.
    C. Change the Parallel job project locale.
    D. Choose appropriate NLS map in the stage property.

  • Question 193:

    Click on the Exhibit button.

    Using this report, how many processes and on how many nodes does this score depict?

    A. 3 processes on 2 nodes
    B. 3 processes on 3 nodes
    C. 2 processes on 2 nodes
    D. 2 processes on 3 nodes

  • Question 194:

    Which condition is required to use the LastRowInGroup() function to determine a key break on a field?

    A. The LastRowInGroup() function requires the data to be grouped by the key field,but the data does not have to be sorted.
    B. The input data has to be sorted by the key field and DataStage must be able to detect that the data is sorted,for example,by the presence of a Sort stage.
    C. The LastRowInGroup() function does not require the data to be either sorted or grouped by the key field. If necessary the LastRowInGroup() function will perform a sort.
    D. The input data has to be sorted by the key field,but it is not required that DataStage be able to detect this. For example,the input data might be sorted before it is input to the job. (However,the job will abort at runtime if the data isn't sorted.)

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