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Qlik Sense Data Architect Certification Exam - June 2018 Release : QSDA2018

QSDA2018 Exam Simulator
  • Exam Code: QSDA2018
  • Exam Name: Qlik Sense Data Architect Certification Exam - June 2018 Release
  • Updated: Sep 08, 2026
  • Q & A: 52 Questions and Answers
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Qlik QSDA2018 exam simulator

Qlik QSDA2018 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformations38%- Date handling and organization
- Incremental loading scripting
- Script building and handling nulls
Data Model Design28%- Model optimization and design
- Identify measures and attributes
Identify Requirements20%- Identify stakeholders and metrics
- Determine primary business requirements
- Determine granularity and security needs
Data Connectivity8%- Identify data sources and connectors
- Select appropriate connection methods
Validation6%- Validate and test scripts
- Data validation methods

Qlik Sense Data Architect Certification Exam - June 2018 Release Sample Questions:

Question #1



Refer to the exhibits
Executives need to see the total sales by region for the current year. The data architect inherits App1 from a former employee who tried to address this requirement. Two Microsoft Excel spreadsheets, Region and Employee, are used as the data source. The data architect creates a table and identifies errors in the amount of sales per region Which method should the data architect use to resolve the errors''

  • A. In the data manager concatenate the Region table and associate by Region.lD
  • B. In the data manager, split the Region table and associate by Region ID
  • C. In the data manager, split the Region table and associate by EmployeelD
  • D. In the data load editor, concatenate the Region and Employee tables
Answer: B
Question #2

Refer to the exhibit.

A data architect must load the two tables without creating a synthetic key. The data architect also must make sure expressions like Sum([Budgeted Sales]) are calculated correctly.
Which load script meets these requirements?
A)

B)

C)

  • A. Option A
  • B. Option B
  • C. Option C
Answer: A
Question #3

A company builds several apps to help analyze product performance
* Each app is for a specific business area: Marketing, Sales, or Production
* Users must see updated data daily
* Data is taken from the enterprise data warehouse (EDW)
* Change requests for the data warehouse take approximately 6 weeks
* One of the dimensions used across all of the apps is product group
* There are six different product groups
To provide users with an intuitive way of working with data, the colors that represent the product groups must be the same in all apps The RGB color codes for each product group will be provided to the data architect by e-mail How should the data architect add consistent colors for the product group dimension that are easy to maintain?

  • A. Add the color codes using variables
  • B. Add the color codes in the EDW
  • C. Add the color codes using a text file
  • D. Add the color codes using expressions
Answer: C
Question #4

Refer to the exhibits



Which corrective action should be taken to achieve the expected view?

  • A. Use upper () to align the Salesperson fields
  • B. Alias one of the fields in the Orders table.
  • C. Add a link table.
  • D. Use distinct in the LOAD statement.
Answer: B
Question #5

Refer to the exhibit.

A global company recently released an app that uses much more memory than similar apps have used When reviewing data in the data manager, the data architect observes that several fields use Globally Unique Identifiers (GUIDs). There is one key field. Other fields are used for different KPIs to count the number records. The data architect must reduce the memory used as much as possible. Which steps should a data architect take to meet these requirements?

  • A. 1 Use the AutoNumber function to convert the linking GUIDs to numbers
    2. Use Indexing for non-key GUID fields to create an Index field and use to get a unique count for KPIs
  • B. 1. Use the IterNoQ function to convert the linking GUIDs to numbers
    2 Replace the non-linking GUID fields with RowNo() to create an Index field and use to get a unique count for KPI
  • C. 1 Use the AutoNumber function to convert the linking GUIDs to numbers
    2 Replace the non-key GUID fields with a flag, and use them to get a unique count for KPIs
  • D. 1 Replace the non-key field GUIDs with RowNoQ to maintain a field that can be used to get a unique count 2. Split the linking GUID fields into five sections using the SubField function to reduce the uniqueness
Answer: B

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