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QlikView QV_Developer_01 Exam Syllabus Topics:
| Section | Objectives |
| Application Design | - User interface best practices
- Sheet and object design
|
| Expressions and Calculations | - Aggregation functions
- Set analysis basics
|
| Performance Optimization | - Data model optimization techniques
- Application performance tuning
|
| Data Loading and Scripting | - File and database connections
- Load script syntax and structure
- Data transformation and cleansing
|
| Data Modeling | - Data normalization and star schema design
- Table relationships and synthetic keys
- Associative data model concepts
|
QlikView 11 Developer Certification Examination Sample Questions:
1. 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 loosely coupled tables in the data model.
C) There will be a synthetic key table in the data model.
D) There will be a relationship between four of the five tables and one table will be a data island.
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({$<CountryCode={US or CA}, AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
B) count({$<CountryCode={US, CA}, Addresses.*=>} distinct CustomerNumber)
C) count({$<(CountryCode={US} or CountryCode={CA}), AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
D) count({1<CountryCode={US, CA}, CustomerName=CustomerName, CustomerNumber=CustomerNumber>} distinct CustomerNumber)
E) count({$<CountryCode={US, CA}, AddressLine1=, AddressLine2=, City=, StateCode=, PostalCode=>} distinct CustomerNumber)
3. What is the interpretation of a 98 percent subset ratio in the CustomerID field in an Orders table when the subset ratio of the same field in the Customer table is 100 percent?
A) 100 percent of customers are defined in the Customer table, but 2 percent of the customers have not placed an order
B) 98 percent of the orders have customers in the data, but only 2 percent of the orders have been shipped
C) 2 percent of the orders have customers in the data, but 100 percent of the customers have placed an order
D) 98 percent of the customers are defined in the Customer table, but 2 percent of the customers have not placed an order
4. A customer has multiple bar charts comparing different metrics. All charts contain a single Expression all with the Dimension CustomerID.
The charts are sorted by Y-Value Descending. Some Customers have Y-Values of zero for some metrics and not others.
How can the designer show the same color bar for a single CustomerID in all the charts?
A) Properties > Visual Cues and then set the Upper and Lower colors using specific RGB values
B) Properties > Colors and then check the Multicolored and Persistent Colors checkboxes
C) Properties > Colors and then define colors 1 - 6 with specific RGB values
D) Properties > Presentation and then define the Error Bars colors with a specific RGB value
5. An Invoices table has a DaysOverdue field. A chart is required to analyze overdue invoices in 30 day intervals.
Which function should a designer use within a chart to meet this requirement?
A) Aggr(DaysOverdue,30)
B) IntervalMatch(DaysOverdue,30)
C) GroupBy(DaysOverdue,30)
D) Class(DaysOverdue,30)
Solutions:
Question # 1 Answer: B | Question # 2 Answer: E | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: D |