[Q12-Q29] Pass Qlik Qlik Sense Data Architect Certification Exam - 2024 Exam in First Attempt Guaranteed Updated Dump from PrepAwayPDF!

Q12. 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?

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

Implement Direct Discovery with partial load

Implement incremental load on each database using QVD files

Implement ODAG to split out the app into smaller chunks

Q13. 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?

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

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

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

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

Q14. A startup company is about have its Initial Public Offering (IPO) on the New York Stock Exchange.
This startup company has used Qlik Sense for many years for data-based decision making for Sales and Marketing efforts, as well as for input into Financial Reporting. The startup’s Qlik Sense applications use variables that have different values at different points in time.
Due to the increased rigor required in record keeping for public companies, these variables must be clearly recorded in the script reload logs of the Qlik Sense applications. These logs are refreshed daily.
The data architect wants to have the variables names, with their current values,writteninto the script reload logs. Which script statement should the data architect use?

LogDetail

Trace

Tag

REM

Q15. 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?

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

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

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

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

Q16. Exhibit.

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?

1. 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

1. 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

1. 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

1. 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

Q17. 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:486396169. 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?

FilePath, IF, THEN, Drop

FilePath, FOR EACH, Peek, Drop

FileSize, IF, THEN, END IF

FileExists, FOR EACH, IF

Q18. A data architect executes the following script:

Which values does the OrderDate field contain after executing the script?

20210131, 2020/01/31, 31/01/2019

20210131, 2020/01/31, 31/01/2019, 9999

20210131, 2020/01/31, 31/01/2019, 0

20210131, 2020/01/31, 31/01/2019, 31/12/2022

Q19. Exhibit.

Refer to the exhibit.
A data architect wants to transform the input data set to the output data set. Which prefix to the Qlik Sense LOAD command should the data architect use?

Hierarchy Be longsTo

Peek

Generic

PivotTable

Q20. A data architect needs to load large amounts of data from a database that is continuously updated.
* New records are added, and existing records get updated and deleted.
* Each record has a LastModified field.
* All existing records are exported into a QVD file.
* The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?

1. Load the existing data from the QVD.
2. Load the new and updated data from the database without the rows that have just been loaded from the QVD and concatenate with data from the QVD.
3. Load all records from the key field from the database and use an INNER JOIN on the previous table.

1. Use a partial LOAD to load new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
3. Use the PEEK function to remove the deleted rows.

1. Load the new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
3. Load all records from the key field from the database and use an INNER JOIN on the previous table.

1. Load the existing data from the QVD.
2. Load new and updated data from the database. Concatenate with the table loaded from the QVD.
3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records.

Q21. A data architect needs to develop a script to export tables from a model based upon rules from an independent file. The structure of the text file with the export rules is as follows:

These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.
The TableToExport values are already verified to exist in the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customers table would be exported as:

What is the minimum set of scripting strategies the data architect must use?

One loop and two IF statements

One loop and one SELECT CASE statement

Two loops and one IF statement

Two loops without any conditional statements

Q22. A company needs to analyze daily sales data from different countries. They also need to measure customer satisfaction of products as reported on a social media website. Thirty (30) reports must be produced with an average of 20,000 rows each. This process is estimated to take about 3 hours.
Which option should the data architect use to build this solution?

Qlik REST Connector

Microsoft SQL Server

Qlik GeoAnalytics

Mailbox IMAP

Q23.

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

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

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

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

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

Q24. 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?

Macro on server

Execute server script

Include script function

Call batch file

Q25. A Chief Information Officer has hired Qlik to enhance the organization’s inventory analytics. In the initial meeting, the client’s focus was determined to be forecasting inventory levels.
Which stakeholder should be consulted first when gathering requirements?

Product Buyer

SQL Developer

Vice President of Marketing

Chief Information Officer

Q26. A table is generated resulting from the following script:

When the data architect selects a date, some, but NOT all, orders for that date are shown.
How should the data architect modify the script to show all orders for the selected date?

Q27. 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:486396169. 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?

FilePath, FOR EACH, Peek, Drop

FileSize, IF, THEN, END IF

FilePath, IF, THEN, Drop

FileExists, FOR EACH, IF

Q28. Exhibit.

Refer to the exhibits.
The Orders table contains a list of orders and associated details. A data architect needs to replace the SupplierlD with the SupplierName using the second table as the source.
The output must be a single table.
Which script should the data architect use?

In this scenario, the data architect needs to replace the SupplierID in the Orders table with the corresponding SupplierName from the Suppliers table, and the desired output should be a single table that includes all the order details along with the SupplierName instead of the SupplierID.
Analyzing the Options:
* Option A:
* Uses a MAPPING LOAD followed by an APPLYMAP to replace SupplierID with SupplierName in the Orders table. However, the table is dropped afterward, which means it won’t produce the required output.
* The MAPPING LOAD approach is generally used to map values but is not necessary in this context as we are combining data from two tables directly.
* Option B:
* This option attempts to LEFT JOIN the Products table with the Suppliers table, but it does not directly address replacing SupplierID with SupplierName in the Orders table.
* Additionally, it does not remove the SupplierID after the join, which is essential for the correct output.
* Option C:
* This option uses a LEFT JOIN with the DISTINCT keyword on the SupplierID field to avoid duplicates. The SupplierName is correctly joined to the Orders table, replacing the SupplierID.
* This approach is the most appropriate because it results in a single table containing all order details with the SupplierName instead of the SupplierID.
* Option D:
* Similar to Option A, but it also introduces an unnecessary renaming step with MAPPING LOAD.
It’s redundant and does not improve the solution over Option C.
Correct Script Choice:
Option Cis the correct script because:
* It ensures that SupplierName replaces SupplierID in the Orders table using a LEFT JOIN.
* The DISTINCT keyword is applied to the SupplierID field to prevent duplicate rows during the join.
* The result is a single table containing the required information with SupplierName in place of SupplierID.
References:
* Qlik Sense Join Operations: Using the correct JOIN type and ensuring proper deduplication (with DISTINCT if necessary) is key to merging tables in Qlik Sense.

Q29. Exhibit.

Refer to the exhibit.
A data architect is loading two tables into a data model from a SQL database. These tables are related on key fields CustomerlD and Customer Key.
Which script should the data architect use?