QSDA Qlik Sense Data Architect
Certification Dumps
A agency generates l GB of ticketing statistics daily. The records is saved in more than one
tables. Business customers need to see tendencies of tickets processed for the beyond 2 years.
Users very hardly ever get admission to the transaction-stage facts for a selected date. Only the
beyond 2 years of records have to be loaded, that's 720 GB of statistics.
Which technique should a facts architect use to meet these necessities?
A.Load handiest 2 years of information in an aggregated app and create a separate transaction
app for occasional use
B.Load best 2 years of facts and use first-class practices in scripting and visualization to
calculate and display aggregated data
C.Load handiest aggregated information for 2 years and use On-Demand App Generation
(ODAG) for transaction facts
D.Load best aggregated facts for 2 years and practice filters on a sheet for transaction records -
ANS-Answer: C
A enterprise's analytics team is migrating from QlikView to Qlik Sense. During the transition
there may be an opportunity to enhance usual reporting.
Which set of criteria ought to the facts architect keep in mind at the same time as planning for
the migration?
A.Application size, software topic, storytelling, data model, IT use case
B.User periods, supply facts structure, compatibility, statistics version, commercial enterprise
use case
C.QlikView archival, source statistics architecture, load script, facts version, business use case
D.Application metadata, application theme, user sessions, load script, IT use case -
ANS-Answer: C
A statistics architect inherits an app that takes too lengthy to load and overruns the data load
window.
The app pulls all records (new and historic) from 3 huge databases. The reload procedure
places a heavy load at the source database servers. All of the records is needed for evaluation.
What ought to the statistics architect do?
A.Make sure the man or woman reload tasks within the QMC aren't strolling in parallel
B.Implement Direct Discovery with partial load
C.Implement incremental load on each database using QVD documents
D.Implement ODAG to break up out the app into smaller chunks - ANS-Answer: C
Certification Dumps
A agency generates l GB of ticketing statistics daily. The records is saved in more than one
tables. Business customers need to see tendencies of tickets processed for the beyond 2 years.
Users very hardly ever get admission to the transaction-stage facts for a selected date. Only the
beyond 2 years of records have to be loaded, that's 720 GB of statistics.
Which technique should a facts architect use to meet these necessities?
A.Load handiest 2 years of information in an aggregated app and create a separate transaction
app for occasional use
B.Load best 2 years of facts and use first-class practices in scripting and visualization to
calculate and display aggregated data
C.Load handiest aggregated information for 2 years and use On-Demand App Generation
(ODAG) for transaction facts
D.Load best aggregated facts for 2 years and practice filters on a sheet for transaction records -
ANS-Answer: C
A enterprise's analytics team is migrating from QlikView to Qlik Sense. During the transition
there may be an opportunity to enhance usual reporting.
Which set of criteria ought to the facts architect keep in mind at the same time as planning for
the migration?
A.Application size, software topic, storytelling, data model, IT use case
B.User periods, supply facts structure, compatibility, statistics version, commercial enterprise
use case
C.QlikView archival, source statistics architecture, load script, facts version, business use case
D.Application metadata, application theme, user sessions, load script, IT use case -
ANS-Answer: C
A statistics architect inherits an app that takes too lengthy to load and overruns the data load
window.
The app pulls all records (new and historic) from 3 huge databases. The reload procedure
places a heavy load at the source database servers. All of the records is needed for evaluation.
What ought to the statistics architect do?
A.Make sure the man or woman reload tasks within the QMC aren't strolling in parallel
B.Implement Direct Discovery with partial load
C.Implement incremental load on each database using QVD documents
D.Implement ODAG to break up out the app into smaller chunks - ANS-Answer: C
