THIS PRACTICE TEST INCLUDES QUESTIONS THAT HAVE APPEARED IN REAL QLIK SENSE DATA ARCHITECT CERTIFICATION EXAM
This is a complete timed practice test for Qlik Sense Data Architect Exam (QSDA2019). With tons of experience in the field of Qlik, We have designed this practice exam which completely simulates the Qlik Sense Data Architect exam pattern and format. These practice tests will surely help you in passing your QSDA Exam and your Qlik Sense Interviews as well.
We have maintained exam structure, time limit, and marking system the same as Qlik Certification. Our experts have included more practical questions which are the most frequently asked in Qlik Sense Data Architect Certification.
QSDA2019: Qlik Sense Data Architect 2019 Exam Practice Test includes:
Access to online Qlik Sense Data Architect (QSDA2019) Premium Practice Test
60+ Qlik Sense Data Architect Certification Exam Questions which are practical, real-time, and similar to actual exam and their correct answers
Multiple Choice Questions to be completed in the specified Time Limit
Unlimited practice exam access
Free Update with latest Qlik Sense Data Architect Certification exam questions
Result History with attended QSDA2019 practice test questions and answers
ABOUT QLIK SENSE DATA ARCHITECT CERTIFICATION
The Qlik Sense Data Architect Certification Exam measures your ability to identify requirements for data models, design and build data models, and validate the data. This exam has 50 multiple-choice questions to answer in 2 hours.
Merits of Pursuing a Qlik Sense Data Architect Certification
There is no doubt that Qlik Sense certifications are one of the most sought after certification courses around the world. With this practice test, we make sure that you are well provided for these examinations and are not wasting your hard-earned money.
Exam Syllabus And Topic
Identify Requirements for Data Models (16% of the exam)
Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times)
Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics)
Outline steps to implement security requirements
Design Data Models (28% of the exam)
Determine an appropriate data model design to meet customer needs
Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance)
Determine how to manage complex scenarios (e.g., calendar, set analysis, flags, functions)
Build Data Models (34% of the exam)
Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable)
Given a scenario, use data transformation techniques with both data load editor and data manager
Manage security using section access
Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications
Use appropriate data connections
Validate Data (22% of the exam)
Validate data models against source information using Qlik Sense visualizations
Resolve data modeling issues (e.g., synthetic keys, circular references, scripting errors, debugging)
Resolve data issues (e.g., null values, data formatting)