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QSDA2021 pdf

QSDA2021 PDF

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Qlik Sense Data Architect Certification Exam

Last Update Mar 18, 2024
Total Questions : 50

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All Qlik Sense Data Architect Related Certification Exams


Qlik Sense Data Architect Certification Exam Questions and Answers

Questions 1

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?

Options:

A.

Two

B.

Five

C.

Four

D.

Three

Questions 2

A data architect needs to upload data from ten different sources, but only if there are any changes after the last reload When data is updated, a new file is placed into a folder mapped to E A439926003 The data connection points to this folder.

The data architect plans a script which will:

1.Verify that the file exists

2. If the file exists, upload it Otherwise, skip to the next piece of code

The script will repeat this subroutine for each source. When the script ends, all uploaded files will be removed with a batch procedure.

Which option should the data architect use to meet these requirements?

Options:

A.

FileSize, IF, THEN, END IF

B.

FilePath, IF, THEN. Drop

C.

FileExists, FOR EACH, IF

D.

FilePath, FOR EACH, Peek, Drop

Questions 3

A company generates 1 GB of ticketing data daily.The data is stored in multiple tables Business users need to see trends oftickets 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?

Options:

A.

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

B.

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

C.

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

D.

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

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