Data-Quality-10-Developer-Specialist 試験問題を無料オンラインアクセス

Which of the following is not true when it comes to creating and updating Reference Tables?
Options are :

• A.Reference Tables can be updated from a Value Frequency list in the Developer
• B.Reference Tables maintained in the Analyst and Developer tools are stored in separate repositories
• C.Reference Tables can be imported and exported using the Developer Tool
• D.All except Un-Managed Reference Tables can be updated through the Reference Table Manager in the Analyst

Should data be standardized before it reaches the Address Validator?

• A.No, any change may cause problems to the AV transformation.
• B.Yes, street and directional abbreviations should always be expanded to their unabbreviated form.
• C.Yes, they should all be upper case.
• D.Yes, if after review, specific problems have been identified that are causing address to not validate that otherwise would.

When using field matching which is the best approach if using First Name as a match field?

• A.Create Soundex or NYSIIS value for the First Name and use it in match
• B.Never use First Name as it is not necessary
• C.Use the Edit Distance strategy
• D.No standardization of First Name field is necessary

What is the best approach to implementing Address Validation in version 9.1?
Options are :

• A.Remove all punctuation before sending the address to the AV transformation.
• B.Canada Post defines the SERP certification standard for software applications that validate Canadian addresses.
• C.Run the addresses into the AV transformation without modification.
• D.Take an iterative approach and review AV output. Determine why addresses did not validate and attempt to resolve the issue prior to running them in the AV transformation.

What types of profiling can be performed in the Developer Tool in Data Quality?
Options are :

• A.Column, Join Analysis, Mid Stream, Comparative, Primary and Foreign Key and Overlap Profiling
• B.Column and Join Profiling only
• C.Column, Join Analysis, Mid Stream and Comparative Profiling
• D.Column Profiling, Primary Key Inference, Dependency Inference