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Qlik QSDA2018 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Qlik Sense Architecture and Data Connections20%- Data connectivity (files, databases, web sources, APIs)
- Qlik Sense platform architecture
- Managing connections and data sources
Topic 2: Scripting and Data Load Editor25%- Script syntax and control statements
- Variables, functions, and expressions
- Managing data load scripts
- Debugging and troubleshooting scripts
Topic 3: Data Modeling and Transformation30%- Designing efficient data models
- Resolving synthetic keys and circular references
- Data transformation, cleansing, and enrichment
- Using QVD files and incremental loading
Topic 4: Security and Governance15%- Data governance best practices
- Section Access and data security
- Application and stream security
Topic 5: Performance Optimization and Validation10%- Optimizing data model and script performance
- Monitoring and improving application performance
- Validating data integrity and consistency

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

Question #1

The data model from an existing Qlik Sense app needs to be reused in another Qlik Sense app.
Which load strategy should a data architect use to transfer this data in the most efficient way?

  • A. Preceding load
  • B. Binary load
  • C. QVD load
  • D. Generic load
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #2

A data architect is working on a time and expense app for an organization that has Sales, Marketing, and Finance departments Department managers should only be able to view the data for their department's team members.
Where should the data architect apply this security restriction?

  • A. Data load editor
  • B. Qlik Management Console
  • C. Data manager
  • D. Expression editor
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #3

Refer to the exhibit.

A major healthcare organization requests a new app with the following requirements:
* Users can filter AdmissionDate and DischargeDate by all fields in the Master Calendar table
* Use an existing QVD file which includes dates 20 years into the future
* Users should not be able to filter on dates that have no associated encounters Which approach should the data architect take to meet these requirements?

  • A. 1 Load the Encounters table
    2. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Admission Date
    3. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Discharge Date
  • B. 1. Load the master calendar
    2. Create two mapping tables called AdmissionCalendar anADischargeCalendar from the Resident master calendar that has all fields appropriately named
    3 Load the Encounters table and use ApplyMap for the AdmissionDate and DischargeDate appropriately
  • C. 1. Load the master calendar as AdmissionCalendar and alias the fields to reflect they are for Admission
    2. Load the master calendar as DischargeCalendar and alias the fields to reflect they are for Discharge
    3. Load the Encounters table
  • D. 1. Load the Master Calendar and Encounters tables
    2 Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Admission Date
    3 Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Discharge Date
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Question #4

The data model from an existing Qlik Sense app needs to be reused in another Qlik Sense app.
Which load strategy should a data architect use to transfer this data in the most efficient way?

  • A. Preceding load
  • B. Binary load
  • C. QVD load
  • D. Generic load
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Question #5

Refer to the exhibit

A chart for monthly hospital admissions and discharges incorrectly displays the month and year values on the x-axis.
The date format for the source data field "Common Date" is M/D/YYYY This format was used in a calculated field named "Month-Year" in the data manager when the data model was first built.
Which expression should the data architect use to fix this issue?

  • A. Date(InMonth([Conmon Date]),'MMM-YYYY')
  • B. Date (MonthsStart ([Common Dace]),'MMM-YYYY'
  • C. Date(MonthStart([Common Date]), *MMM-YYYY')
  • D. Date([Common Date],'MMM-YYYY')
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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