Customer Data Management Quiz
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Questions and Answers

What naming convention should be used when creating a version for the CUSTOMER application?

The version should be named CUSTOMER,XXX, where XXX is the user's initials.

Which fields are required to be displayed in the CUSTOMER version?

The fields include MNEMONIC, SHORT.NAME, NAME.1, STREET, SECTOR, Account Officer, INDUSTRY, TARGET, NATIONALITY, CUSTOMER.STATUS, RESIDENCE, and LANGUAGE.

What is the purpose of making SECTOR a NOINPUT field in the CUSTOMER version?

Making SECTOR a NOINPUT field prevents users from changing its value after it has been set.

How should the version of CUSTOMER handle defaults for the NATIONALITY field based on previous values?

<p>If the previous value is US, the NATIONALITY field should default to 'IN'.</p> Signup and view all the answers

What is the significance of making CUSTOMER.STATUS a mandatory field?

<p>Making CUSTOMER.STATUS mandatory ensures that users must provide this information before completing customer records.</p> Signup and view all the answers

Study Notes

Create a new version

  • Create a version named 'CUSTOMER,XXX'
  • Fields to be displayed:
    • MNEMONIC
    • SHORT.NAME
    • NAME.1
    • STREET
    • SECTOR
    • Account Officer
    • INDUSTRY
    • TARGET
    • NATIONALITY
    • CUSTOMER.STATUS
    • RESIDENCE
    • LANGUAGE

Amend the version

  • Amend the existing version to display two fields per row

Modify the version

  • Set a default value of '1000' in the SECTOR field
  • Ensure that the SECTOR field is a 'NOINPUT' field
  • If the previous available value in NATIONALITY is 'US', default the field to 'IN'
  • Make the CUSTOMER.STATUS field mandatory
  • Ensure that the ACCOUNT OFFICER field is read-only after the customer record is authorized

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Description

Test your knowledge on creating, amending, and modifying customer data versions. This quiz covers topics related to data fields, default values, and validation rules. Perfect for those involved in customer relationship management and data handling.

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