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QlikView QV_Developer_01 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Visualization and User Interface | 25% | - Designing layout and navigation - Creating charts, tables, and objects - Implementing security and access control - Using expressions and set analysis |
| Application Design and Requirements | 20% | - Identifying and analyzing data sources - Designing application architecture - Gathering and interpreting business requirements |
| Performance Optimization and Deployment | 20% | - Optimizing load scripts and calculations - Managing application performance - Troubleshooting common issues - Deploying applications to QlikView Server |
| Data Modeling and Scripting | 35% | - Using QVD files and incremental loads - Script syntax and functions - Creating and optimizing data models - Handling joins, keys, and associations - Data loading and transformation |
QlikView 11 Developer Certification Examination Sample Questions:
A customer needs to measure the Amount of Sales by Days Sales Outstanding (DSO).
Days Sales Outstanding does not exist in the data model.
Which technique should a developer use to meet the customer's need?
- A. on the Expressions tab, add an expression using the Aggr function
- B. on the Dimensions tab, press the Add Dynamic Dimension button
- C. on the Dimensions tab, press the Add Calculated Dimension button
- D. on the Expressions tab, add an expression using the Class function
Correct Answer: C 🗳️
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. 5000
- B. 4500
- C. 0
- D. 3500
Correct Answer: C 🗳️
A customer has sales data containing a fact table, Sales and dimension tables, Customer, Item, and Vendor.
After loading the data, the Entity Relationship Diagram (ERD) has a synthetic table containing the fields Name and Address from the Vendor and Customer tables.
How can a developer eliminate the synthetic keys and appropriately link the data?
- A. qualify all tables
- B. left join the Customer data onto the Sales table
- C. qualify all tables and then unqualify all key fields
- D. alias all primary key fields
Correct Answer: C 🗳️
A Straight Table Chart calculates several metrics for each individual alphanumeric transaction detail record (TRAN_ID) and its Amount over several years of data. The calculation time for the chart is over two minutes.
How can a designer decrease the calculation time for the chart without compromising core functionality?
- A. create a Calculation Condition. =sum(TRAN_ID) <= 10000
- B. create a Calculation Condition. =count(TRAN_ID) <= 10000
- C. create a Calculation Condition. =TRAN_ID < 10000
- D. create a Calculation Condition. =sum(Amount) > 0
Correct Answer: B 🗳️
A customer has a Sales data table and needs a chart to display sales figures by date, including dates without sales.
The Sales table is sorted by the primary key which is generated based on the type of order and the SalesPersonID who generated it.
Which technique should a developer use to achieve this requirement?
- A. calculated dimensions in Chart Objects and expressions in List Boxes, to generate the required dates
- B. the today() function, to determine the required date range and use an Inline load to generate the master calendar
- C. a Resident Load and Peek, to determine the minimum and maximum dates and then AutoGenerate to create a master calendar
- D. Peek, when loading the Sales data, to create records within the Sales data table for dates with no sales
Correct Answer: C 🗳️
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