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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Design | 20% | - Create sheets and objects - Design user-friendly interfaces - Implement variables and conditional displays |
| Topic 2: Data Modeling | 25% | - Manage synthetic keys and circular references - Optimize associations between tables - Design logical and efficient data models |
| Topic 3: Data Transformation | 20% | - Load and transform data using script - Implement incremental and optimized loads - Use functions and expressions for data manipulation |
| Topic 4: Charts and Expressions | 20% | - Use set analysis and aggregation functions - Create chart expressions - Build calculated dimensions and measures |
| Topic 5: Deployment and Security | 15% | - Document security concepts - Application optimization and deployment considerations - Section Access implementation |
1. A customer has a set of date values in different formats.
Some dates are in Julian date format; some dates are text strings.
How can a developer ensure the data is loaded in a consistent format?
A) change the default DateFormat variable assignment on the Main script tab
B) use the Lookup function with a format table
C) use the Alt function with different Date# functions
D) use the Date function to format the field during load
2. A customer needs to build a QlikView application using data in text files. A new data file is created every day and stored in a folder on the customer's network named s. \userfiles.
The file name is in the form dataYYYYMMDD.txt, where YYYYMMDD represents the current date, such as data20111231.txt.
Which data load strategy should a developer use to load all of the customer's data files each day?
A) the 'Wildcard Load' feature by setting the 'File Location' in Document Properties
B) the statement 'Directory s. \userfiles\*;' preceding the Load statement
C) 'Load * From [s. \userfiles\data*.txt] (ansi, txt, delimiter is '\t', embedded labels);'
D) 'Load * From_Field (s. \userfiles\, 'data*.txt') (ansi, txt, delimiter is '\t', embedded labels);'
3. Refer to the exhibit to the right.
The Sales table displayed in the exhibit represents the entire data set.
Given the expression.
=sum( {$< Month={'Oct'}, RegionID={'4'} >} SalesAmount)
What is the result with the selections for SalesPersonID=1 and RegionID=3?
A) 0
B) 5000
C) 3500
D) 4500
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 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
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 the presentation layer QVW and connect directly to the source data and apply the business rules in the script
D) create a series of QVWs that apply the business rules and then binary load them 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 loosely coupled tables in the data model.
B) There will be a relationship between four of the five tables and one table will be a data island.
C) There will be a relationship between all the tables without synthetic key tables or loosely coupled tables.
D) There will be a synthetic key table in the data model.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A |
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