Qlik Sense Data Architect QSDA2024 PDF Questions

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1.A data architect receives an error while running script.
What will happen to the existing data model?
A. The data model will be removed from the application.
B. The latest error-free data model will be maintained.
C. Newly loaded tables will be merged with the existing data model until the error is resolved.
D. The data model will be replaced with the tables that were successfully loaded before the error.
Answer: B
Explanation:
In Qlik Sense, when a data load script is executed and an error occurs, the script execution is halted
immediately, and any tables that were being loaded at the time of the error are discarded. However, the
existing data model—i.e., the last successfully loaded data model—remains intact and is not affected by
the failed script. This ensures that the application retains the last known good state of the data, avoiding
any partial or inconsistent data loads that could occur due to an error.
When the script encounters an error:
The tables that were successfully loaded prior to the error are retained in the session, but these tables are
not merged with the existing data model.
The existing data model before the script was executed remains unchanged and is maintained.
No partial or incomplete data is loaded into the application; hence, the data model remains consistent and
reliable.
Qlik Sense Data Architect Reference
This behavior is designed to protect the integrity of the data model. In scenarios where script execution
fails, the user can debug and fix the script without risking the data integrity of the existing application. The
key references include:
Qlik Help Documentation: Provides detailed information on how Qlik Sense handles script errors,
highlighting that the existing data model remains unchanged after an error.
Data Load Editor Practices: Best practices dictate ensuring that the script is fully functional before
executing it to avoid data inconsistency. In cases where an error occurs, understanding that the current
data model is maintained helps in strategic debugging and script correction.
2.Refer to the exhibit.
A data architect needs to build a dashboard that displays the aggregated sates for each sales
representative. All aggregations on the data must be performed in the script.
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Which script should the data architect use to meet these requirements?
A)
B)
C)
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D)
A. Option A
B. Option B
C. Option C
D. Option D
Answer: C
Explanation:
The goal is to display the aggregated sales for each sales representative, with all aggregations being
performed in the script. Option C is the correct choice because it performs the aggregation correctly using
a Group by clause, ensuring that the sum of sales for each employee is calculated within the script.
Data Load:
The Data table is loaded first from the Sales table. This includes the OrderID, OrderDate, CustomerID,
EmployeeID, and Sales.
Next, the Emp table is loaded containing EmployeeID and EmployeeName.
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Joining Data:
A Left Join is performed between the Data table and the Emp table on EmployeeID, enriching the data
with EmployeeName.
Aggregation:
The Summary table is created by loading the EmployeeName and calculating the total sales using the
sum([Sales]) function.
The Resident keyword indicates that the data is pulled from the existing tables in memory, specifically the
Data table.
The Group by clause ensures that the aggregation is performed correctly for each EmployeeName,
summarizing the total sales for each employee.
Key Qlik Sense Data Architect
Reference: Resident Load: This is a method to reuse data that is already loaded into the app’s memory.
By using a Resident load, you can create new tables or perform calculations like aggregation on the
existing data.
Group by Clause: The Group by clause is essential when performing aggregations in the script. It groups
the data by specified fields and performs the desired aggregation function (e.g., sum, count).
Left Join: Used to combine data from two tables. In this case, Left Join is used to enrich the sales data
with employee names, ensuring that the sales data is associated correctly with the respective employee.
Conclusion: Option C is the most appropriate script for this task because it correctly performs the
necessary joins and aggregations in the script. This ensures that the dashboard will display the correct
aggregated sales per employee, meeting the data architect’s requirements.
3.Refer to the exhibit.
What does the expression sumThe reason is most likely related to the values in the source mapping table not
matching the values in the Fact_Table properly.
The applymap() function in Qlik Sense is designed to map one field to another using a mapping table. If
the source values in the mapping table are inconsistent or incorrect, the applymap() will not function as
expected, leading to incorrect results.
Steps to resolve:
Review the mapping table (MAP_COUNTRY): The country field in the CountryTable contains values such
as "U.S.", "US", and "United States" for the same country. To correctly normalize the country names, you
need to ensure that all variations of a country's name are consistently mapped to a single value (e.g.,
"USA").
Apply Mapping: Review and clean up the mapping table so that all possible variants of a country are
correctly mapped to the desired normalized value.
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Key
Reference: Mapping Tables in Qlik Sense: Mapping tables allow you to substitute field values with
mapped values. Any mismatches or variations in source values should be thoroughly reviewed.
Applymap() Function: This function takes a mapping table and applies it to substitute a field value with its
mapped equivalent. If the mapped values are not correct or incomplete, the output will not
be as expected.
6.A data architect executes the following script:
Which values does the OrderDate field contain after executing the script?
A. 20210131, 2020/01/31, 31/01/2019
B. 20210131, 2020/01/31, 31/01/2019, 9999
C. 20210131, 2020/01/31, 31/01/2019, 0
D. 20210131, 2020/01/31, 31/01/2019, 31/12/2022
Answer: D
Explanation:
In the script provided, the alt() function is used to handle various date formats. The alt() function in Qlik
Sense evaluates a list of expressions and returns the first valid expression. If none of the expressions are
valid, it returns the last argument provided (in this case, '31/12/2022').
Step-by-step breakdown:
The alt() function checks the Date field for three different formats:
YYYYMMDD
YYYY/MM/DD
DD/MM/YYYY
If none of these formats match the value in the Date field, the default date '31/12/2022' is assigned.
Values in the Date field:
20210131: Matches the first format YYYYMMDD.
2020/01/31: Matches the second format YYYY/MM/DD.
31/01/2019: Matches the third format DD/MM/YYYY.
9999: Does not match any of the formats, so the alt() function returns the default value '31/12/2022'.
7.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.
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Which steps should the data architect take to meet these requirements?
A. 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.
B. 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.
C. 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.
D. 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.
Answer: D
Explanation:
When dealing with a database that is continuously updated with new records, updates, and deletions, an
efficient data load strategy is necessary to minimize the load time and keep the Qlik Sense data model
up-to-date.
Explanation of Steps:
Load the existing data from the QVD:
This step retrieves the already loaded and processed data from a previous session. It acts as a base to
which new or updated records will be added.
Load new and updated data from the database. Concatenate with the table loaded from the QVD:
The next step is to load only the new and updated records from the database. This minimizes the amount
of data being loaded and focuses on just the changes.
The new and updated records are then concatenated with the existing data from the QVD, creating a
combined dataset that includes all relevant information.
Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records:
A separate table is created to handle deletions. The WHERE NOT EXISTS clause is used to identify and
remove records from the combined dataset that have been deleted in the source database.
8.Exhibit.
Refer to the exhibit.
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The data architect needs to build a model that contains Sales and Budget data for each customer.
Some customers have Sales without a Budget, and other customers have a Budget with no Sales.
During loading, the data architect resolves a synthetic key by creating the composite key.
For validation, the data architect creates a table that contains Customer, Month, Sales, and Budget
columns.
What will the data architect see when selecting a month?
A. Customer Names and Sales records for the selected month, Budgets column can contain null or
non-null values
B. All Customer Names for both Sales and Budget records for the selected month
C. Customer Names and Sales records for the selected month but with only non-null values in Budget
column
D. Customer Names and Budaets records for the selected month. Sales column can contain null or
non-null values
Answer: A
Explanation:
In the scenario where the data model is built with a composite key (keyYearMonthCustNo) to resolve
synthetic keys, the following outcomes occur:
Sales and Budget Data Integration:
The composite key ensures that each combination of Year, Month, and Customer is uniquely represented
in the combined Sales and Budget data.
During data selection (e.g., when a specific month is selected), Qlik Sense will show all the customer
names that have either Sales or Budget data associated with that month.
Resulting Data View:
For the selected month, customers with sales records will display their Sales data. However, if the
corresponding Budget data is missing, the Budget column will contain null values.
Similarly, if a customer has a Budget but no Sales data for the selected month, the Sales column will show
null values.
Validation Outcome:
When the data architect selects a month, they will see the following:
Customer Names and Sales records for the selected month, where the Sales column will have values and
the Budget column may contain null or non-null values depending on the data availability.
9.A data architect wants reflect a value of the variable in the script log for tracking purposes.
The variable is defined as:
Which statement should be used to track the variable's value?
A)
B)
C)
D)
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A. Option A
B. Option B
C. Option C
D. Option D
Answer: B
Explanation:
In Qlik Sense, the TRACE statement is used to print custom messages to the script execution log. To
output the value of a variable, particularly one that is dynamically assigned, the correct syntax must be
used to ensure that the variable's value is evaluated and displayed correctly.
The variable vMaxDate is defined with the LET statement, which means it is evaluated immediately, and
its value is stored.
When using the TRACE statement, to output the value of vMaxDate, you need to ensure the variable's
value is expanded before being printed. This is done using the $() expansion syntax.
The correct syntax is TRACE #### $(vMaxDate) ####; whichevaluates the variable vMaxDate and
inserts its value into the log output.
Key Qlik Sense Data Architect
Reference: Variable Expansion: In Qlik Sense scripting, $(variable_name) is used to expand and insert
the value of the variable into expressions or statements. This is crucial when you want to output or use the
value stored in a variable.
TRACE Statement: The TRACE command is used to write messages to the script log. It is commonly
used for debugging purposes to track the flow of script execution or to verify the values of variables during
script execution.
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