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Exhibit.

q1_QSDA2024

Refer to the exhibit.

A major healthcare organization requests a new app with the following requirements:

* Users can filter AdmissionDate and DischargeDate by all fields in the Master Calendar table

* Use an existing QVD file, which includes dates 20 years into the future

* Users should not be able to filter on dates that have no associated encounters

Which approach should the data architect take to meet these requirements?

A1. Load the Master Calendar and Encounters tables
2. Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Admission Date
3. Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Discharge Date

B1. Load the master calendar
2. Create two mapping tables called AdmissionCalendar and DischargeCalendar from the Resident master calendar thatfeas all fields appropriately named
3. Load the Encounters table and use ApplyMap for the AdmissionDate and DischargeDate appropriately

C1. Load the master calendar as AdmissionCalendar and alias the fields to reflect they are for Admission
2. Load the master calendar as DischargeCalendar and alias the fields to reflect they are for Discharge
3. Load the Encounters table

D1. Load the Encounters table
2. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Admission Date
3. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Discharge Date

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?

AMacro on server

BExecute server script

CInclude script function

DCall batch file

Exhibit.

q3_QSDA2024

Refer to the exhibit.

A business analyst informs the data architect that not all analysis types over time show the expected data.

Instead they show very little data, if any.

Which Qlik script function should be used to resolve the issue in the data model?

ADatefFloor(OrderDate)) AS OrderDate in both the table 'Orders' and 'Master Calendar'

BTimeStamp#(OrderDate, 'M/D/YYYY hh.mm.ff') AS OrderDate in both the table 'Orders' and 'Master Calendar'

CTimeStamp(OrderDate) AS OrderDate in both the table 'Orders' and 'Master Calendar'

DDate(OrderDate) AS OrderDate in both the table 'Orders' and 'Master Calendar'

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?

AMake sure the individual reload tasks in the QMC are not running in parallel

BImplement Direct Discovery with partial load

CImplement incremental load on each database using QVD files

DImplement ODAG to split out the app into smaller chunks

Exhibit

q5_QSDA2024

Refer to the exhibit.

The salesperson ID and the office to which the salesperson belongs is stored for each transaction. The data model also contains the current office for the salesperson. The current office of the salesperson and the office the salesperson was in when the transaction occurred must be visible. The current source table view of the model is shown. A data architect must resolve the synthetic key.

How should the data architect proceed?

AComment out the Office in the Transaction table

BInner Join the Transaction table to the CurrentOffice table

CAlias Office to CurrentOffice In the CurrentOffice table

DForce concatenation between the tables

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