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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 is platform neutral, which means that the content applies to both the client managed and SaaS editions of Qlik Sense. This exam has 50 multiple-choice questions to answer in 2 hours.

● Practical experience developing multiple production-quality applications in Qlik Sense

● Ability to write Qlik Sense LOAD scripts and validate data

● Basic understanding of Extract-Transform-Load (ETL)

● Create and use connectors to various data sources

● Understand the QVD layer and architecture of the Qlik platform

● Ability to architect data to provide optimal performance

● Familiar with SQL and relational databases

Determine primary requirements with business users.

Given a scenario, choose stakeholders.

Given a scenario, determine metrics and levels of granularity and aggregation.

Determine dimensionality and need for slowly changing dimensionality support.

Given a scenario, determine the appropriate level of security.

Given a scenario, determine the data sources and connectors needed.

Determine the appropriate method to create connections for data sources.

Given a scenario, determine the measures and attributes from each data source.

Given a scenario, identify the appropriate type of data model.

Determine the correct method to optimize the data model for Qlik Sense.

Determine the correct method to implement data structures efficiently.

Determine the correct method to build data content based on requirements.

Analyze and evaluate null and blank data handling required to support filtering.

Determine the correct method to document Data Load scripts.

Determine the correct method for date handling techniques.

Determine the correct method to perform script organization and cleansing.

Analyze relevant variables to build scripts for incremental loading for extract layer.

Given a scenario, determine the appropriate method to validate and test scripts.

Given a scenario, determine the appropriate method to validate and test data.

1. Users of a published app report incomplete visualizations. The data architect checks the app multiple times and cannot replicate the error. The error affects only one team.

Which is the most likely cause?

A.A security rule has been applied to the sheet object.

B.The affected users were NOT added to the Section Access table.

C.Section access restricts too many records.

D.An Omit field has been applied.

Answer: C

2. A data architect needs to acquire social media data for the past 10 years. The data architect needs to track all changes made to the source data, include all relevant fields, and reload the application four times a day.

What information does the data architect need?

A.A field with social media source, a set of key fields to sort out updated records, configure reload task to load four times a day

B.A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day

C.A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records

D.A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records

Answer: D

3. A data architect inherits an app that takes too long to load and overruns the data load window.

The app pulls all records (new and historical) from three large databases. The reload process puts a heavy load on the source database servers. All of the data is required for analysis.

What should the data architect do?

A.Make sure the individual reload tasks in the QMC are not running in parallel

B.Implement Direct Discovery with partial load

C.Implement incremental load on each database using QVD files

D.Implement ODAG to split out the app into smaller chunks

Answer: C

4. A data architect needs to develop three separate apps (Sales, Finance, and Operations). The three apps share numerous identical calculation expressions.

The goals include:

● Reducing duplicate script

● Saving time on expression modifications

● Increasing reusable Qlik developer assets.

The data architect creates a common script and stores it on a file server that Qlik Sense can access. How should the data architect complete the requirements?

A.Macro on server

B.Execute server script

C.Include script function

D.Call batch file

Answer: C

5. A company's analytics team is migrating from QlikView to Qlik Sense. During the transition there is an opportunity to improve overall reporting.

Which set of criteria must the data architect consider while planning for the migration?

A.Application size, application theme, storytelling, data model, IT use case

B.User sessions, source data architecture, compatibility, data model, business use case

C.QlikView archival, source data architecture, load script, data model, business use case

D.Application metadata, application theme, user sessions, load script, IT use case

Answer: C

6. A data architect needs to load data from two different databases. Additional data will be added from a folder that contains QVDs, text files, and Excel files.

What is the minimum number of data connections required?

A.Four

B.Two

C.Three

D.Five

Answer: B

7. A data architect needs to load data from Customers.qvd and sort the Country field in ascending order. Which method should be used?

A.Insert a Group By clause into the LOAD statement for the CustTemp table after the FROM clause

B.Move the Country field to the first position in the field list in the LOAD statement

C.Perform a Resident LOAD of the CustTemp table and insert an Order By clause in this table

D.Insert an Order By clause after the FROM clause in the CustTemp table

Answer: C

8. A company generates l GB of ticketing data daily. The data is stored in multiple tables. Business users need to see trends of tickets processed for the past 2 years. Users very rarely access the transaction-level data for a specific date. Only the past 2 years of data must be loaded, which is 720 GB of data.

Which method should a data architect use to meet these requirements?

A.Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

B.Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

C.Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data

D.Load only aggregated data for 2 years and apply filters on a sheet for transaction data

Answer: C