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Qlik QSDA2018 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Qlik Sense Architecture and Data Connections | 20% | - Qlik Sense platform architecture - Managing connections and data sources - Data connectivity (files, databases, web sources, APIs) |
| Topic 2: Scripting and Data Load Editor | 25% | - Script syntax and control statements - Debugging and troubleshooting scripts - Managing data load scripts - Variables, functions, and expressions |
| Topic 3: Performance Optimization and Validation | 10% | - Monitoring and improving application performance - Validating data integrity and consistency - Optimizing data model and script performance |
| Topic 4: Security and Governance | 15% | - Application and stream security - Data governance best practices - Section Access and data security |
| Topic 5: Data Modeling and Transformation | 30% | - Data transformation, cleansing, and enrichment - Using QVD files and incremental loading - Resolving synthetic keys and circular references - Designing efficient data models |
Qlik Sense Data Architect Certification Exam - June 2018 Release Sample Questions:
1. Refer to the exhibit.
The data model shown has a synthetic key for information that contains actual sales and budget sales for a multi-national company As a business requirement, users must be able to drill down by department and country. Datajnust not be lost.
Due to data quality issues, some departments are NOT included in the Sales and Budget tables.
The data architect needs a method to eliminate synthetic keys that generates the fastest performing data model Which method should the data architect use?
A) A link table to associate the two tables
B) A forced concatenation statement
C) Field aliases or comment out redundant fields
D) A Left Join statement in the script
2. 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 (MonthsStart ([Common Dace]),'MMM-YYYY'
B) Date(InMonth([Conmon Date]),'MMM-YYYY')
C) Date([Common Date],'MMM-YYYY')
D) Date(MonthStart([Common Date]), *MMM-YYYY')
3. 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 C
B) Option B
C) Option A
4. 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 Replace the non-key GUID fields with a flag, and use them to get a unique count for KPIs
B) 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
C) 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
D) 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
5. A healthcare organization needs an app to track patient encounters, patient lab orders, and patient medications.
* Encounters, lab orders, and medication data are maintained in three separate tables linked by PatientID
* PatientID values in all three tables are completely accurate
* Patients may have encounters without lab orders or medications
The data architect needs to make sure that the count of patient lab orders is correct. Which method should the data architect to meet this requirement?
A) Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(LabPatientlD)
B) Load all three tables and use Count(PatientlD)
C) Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(Distinct LabPatientID)
D) Load all three tables and use Count{Distinct PatientID)
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |






