Sharpen Your Knowledge with Qlik (QSDA2019) Certification Sample Questions
CertsTime has provided you with a sample question set to elevate your knowledge about the Qlik Sense Data Architect exam. With these updated sample questions, you can become quite familiar with the difficulty level and format of the real QSDA2019 certification test. Try our sample Qlik Sense Data Architect certification practice exam to get a feel for the real exam environment. Our sample practice exam gives you a sense of reality and an idea of the questions on the actual Qlik Sense certification exam.
Our sample questions are similar to the Real Qlik QSDA2019 exam questions. The premium Qlik Sense Data Architect certification practice exam gives you a golden opportunity to evaluate and strengthen your preparation with real-time scenario-based questions. Plus, by practicing real-time scenario-based questions, you will run into a variety of challenges that will push you to enhance your knowledge and skills.
Qlik QSDA2019 Sample Questions:
Refer to the exhibit.
The Section Access security table for an app is shown User ABC\PPP opens a Qlik Sense app with a table using the field called LEVEL on one of the table columns
What is the result?
Refer to the exhibit.
This table contains information about the number of admissions and discharges of patients in a hospital. The values can be positive or negative. The data architect needs to create an extra column that contains the number of patients that are currently in the hospital.
Which script should the data architect use ?
A)
B)
C)
D)
A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional dat
a. The app must have minimal impact on already limited server resources.
Which approach should the data architect use?
Refer to the exhibit.
A data architect builds a simple data model to show the relationship between students and exams. The data is loaded. Every StudentID in the Exams table should be found in the Students table. Some students have NOT taken an exam.
The data architect selects the field "StudentID" from the Students table and sees the following:
A data architect needs to fix this anomaly.
What should the data architect do to ensure data integrity?
A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.
An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs
Which strategy should the data architect use to meet these requirements?
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