QlikView QV_Developer_01

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QlikView 11 Developer Certification Examination Sample Questions:

1. Which action should a developer perform on a table to reduce required memory and optimize the application?

A) split out a single complex field into multiple fields reducing the number of distinct values per field
B) make all numeric fields a fixed length by left padding with leading 0's using the Num function
C) convert numeric fields into text fields using the Text function
D) combine multiple fields into one complex field, reducing the number of fields per table

2. A customer has an Addresses table with the fields. CustomerNumber, CustomerName, AddressLine1, AddressLine2, City, StateCode, PostalCode, and CountryCode.
A designer needs to design a chart to show a count of distinct customers in which the customer's CountryCode is US or CA, while ignoring all selections on the Addresses table except the CustomerNumber and CustomerName fields.
How can the designer calculate the required value?

A) count({1<CountryCode={US, CA}, CustomerName=CustomerName, CustomerNumber=CustomerNumber>} distinct CustomerNumber)
B) count({$<CountryCode={US or CA}, AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
C) count({$<(CountryCode={US} or CountryCode={CA}), AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
D) count({$<CountryCode={US, CA}, AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
E) count({$<CountryCode={US, CA}, Addresses.*=>} distinct CustomerNumber)

3. A customer needs to analyze Products by Product Grouping. The relationship between Product and Product Group is undefined in the original data source.
How can the Product Grouping be defined within the QlikView script?

A) by generating a lookup table using the Inline wizard
B) by loading the lookup table using an Include statement
C) by using AutoGenerate to load the lookup table
D) by using Input Box to enter the lookup table

4. A project to develop a QlikView application for a customer requires splitting developers into two teams.
One team will focus on developing source database query knowledge to create a reusable data layer. There are several application-specific business rules for this project. The customer needs to incrementally accumulate history for the QlikView application over time.
The second team will focus on developing the presentation layer. This team also has data modeling and scripting expertise, but does not have source database query knowledge.
Which data loading strategy should the developers use on the project?

A) create the presentation layer QVW and connect directly to the source data and apply the business rules in the script
B) create QVDs of the source data and load them into the presentation layer QVW and apply the business rules in the script
C) create a series of QVWs that apply the business rules and then binary load them into the presentation layer QVW
D) create QVDs of the source data, apply the business rules and store a second layer of QVDs, and then load these QVDs into the presentation layer QVW

5. Refer to the exhibit below.

The tables displayed in the exhibit need to be loaded into QlikView.
How will the data model appear once the load is complete?

A) There will be a relationship between all the tables without synthetic key tables or loosely coupled tables.
B) There will be a synthetic key table in the data model.
C) There will be loosely coupled tables in the data model.
D) There will be a relationship between four of the five tables and one table will be a data island.

Solutions: