QSDA2021 Exam Questions - Real & Updated Questions PDF
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NEW QUESTION # 29
A global retailer has a large database in which millions of sales transactions are added per hour.
Each regional sales manager should only see details for customers in their region. After filtering based on criteria such as region, gender, and income level, sales managers should be able to see the most current detailed transactions.
What should a data architect do to meet these requirements?
- A. Use On-Demand App Generation (ODAG) and section access
- B. Create an app for each sales manager with Qlik GeoAnalytics
- C. Use section access to restrict sales manager access by region
- D. Use section access and include a service account in the table
Answer: C
NEW QUESTION # 30
Refer to the exhibit.
Refer to the exhibit
A data architect develops an app for Coffee4all, a coffee company with stores located throughout Europe The script runs successfully, but the Stores table does not have any values.
What should the data architect do?
- A. Use Concatenate before loading the Stores table
- B. Use where exists (ID, StorelD)
- C. Use where exists (ID)
Answer: C
NEW QUESTION # 31
Refer to the exhibit.
A data architect is creating an app using three tables. After executing the script, a warning displays Which two steps should the data architect do to resolve this warning? (Select two.)
- A. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.
- B. insert "Join (ProductDetails)" in front of the Load statement in line 24 to combine ProductPriceList with ProductDetails
- C. Move the preceding Load statement in line 10 between table name (line 23) and Load statement (line 24).
- D. Rename the Category field in the ProductPriceLis table to PnceCategory (line 24).
Answer: D
NEW QUESTION # 32
Refer to the exhibit.
A data architect needs to add a Budget table to the current Qlik Sense app. A Budget table with the fields Budget, CustomerlD, and ProductlD is loaded into the model. What will be created?
- A. A synthetic table with two synthetic keys
- B. A synthetic table and one synthetic key
- C. A synthetic table with three synthetic keys
- D. A circular reference with one table disconnected
Answer: D
NEW QUESTION # 33
Users of a published app report incomplete visualizations. The data architect checks the app multiple times and cannot replicate the error. The error affects only one team.
What is the most likely cause?
- A. A security rule has been applied to the sheet object
- B. The affected users were NOT added to the Section table
- C. Section access restricts too many records
- D. An Omit field has been applied
Answer: C
Explanation:
Section access restricts access to certain records, and if too many records are restricted, it can lead to incomplete visualizations. Source: Qlik Section access is used to control access to the data in an app. If the section access settings are too restrictive, they can prevent certain users or teams from seeing all of the data they need, resulting in incomplete visualizations.
It is possible that the affected team has been assigned a section access that is too restrictive, preventing them from seeing all of the necessary data. This could be a misconfiguration or an oversight in the section access settings.
NEW QUESTION # 34
A data architect needs to write the expression for a measure on a KPI to show the sales person with the highest sales The sort order of the values of the fields is unknown When two or more sales people have sold the same amount, the expression should return all of those sales people Which expression should the data architect use?
- A. FirstSortedValue (Salesperson, -Aggr (Sum(Sales) , Salesperson) )
- B. FirstSortedValue (DISTINCT Salesperson, -Aggr (Sum(Sales) , Salesperson) )
- C. Concat(DISTINCT IF (Aggr (Rank (Sum (Sales) , 4) , Salesperson) =1, Salesperson) , ' ')
- D. Concat (DISTINCT IF (Aggr (Rank (Sum (Sales) , 1) , Salesperson) =1, Salesperson) , ' ')
Answer: D
NEW QUESTION # 35
A data architect is building a model to show trends in visualizations across seven date fields. The seven date fields reside in different tables. The data architect must efficiently build this data model.
Requirements:
* A single date selector
* Show all dates, even those with NO activity
* Minimize the impact on server resources and p
Which two solutions should the data architect use? (Select two.)
- A. Generic load
- B. Link table
- C. Multiple calendars
- D. Data island
- E. Canonical calendar
Answer: B,E
Explanation:
A canonical calendar should be used to create a single date selector that can be used to show all dates, even those with no activity. A link table should be used to join the seven date fields from different tables, which will minimize the impact on server resources and performance. Source: Qlik
NEW QUESTION # 36
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?
- A. Five
- B. Two
- C. Three
- D. Four
Answer: C
NEW QUESTION # 37
A data architect of an organization that has implemented Qlik Sense on Windows 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?
- A. 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 - B. 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 - 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: C
NEW QUESTION # 38
Refer to the exhibit.
A customer needs to load forecast data from an Excel file.
Which preceding load statement should the data architect use to load the data?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 39
A data architect executes the following script:
What will be the result of Table A?
A)
B)
C)
D)
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: D
NEW QUESTION # 40
Refer to the exhibit.
Refer to the exhibits.
The first table shows the source table (Original table).
This data represents the stocks stored every month for each product:
* The relevant fields are productid, qty, and date.
* The date field represents the calendar months using
* The qty field shows the product stock fluctuation from the current month versus the previous month. If there is no fluctuation between months, there are no new entries in the table.
The second table shows a Pivot table visualization the data analyst needs to create in the app displaying per each product the monthly trend of available stock.
For performance reasons, the data analyst requests the data architect to calculate the running stock quantity of each product for every month in the script.
Which approach should the data architect use?
- A. 1 Generate a Cartesian JOIN between productid and date in a Combined table
2 RIGHT JOIN the Combined table with the Original table to populate the missing qty values
3. Use PREVIOUS() and RANGESUMQ functions to create the running quantity totals for each product for every month - B. 1. Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. RIGHT JOIN the Calendar table back to the Original table to populate the missing qty values
3. Use PEEK() and RANGECOUNTO functions to create the running quantity totals for each product for every month - C. 1 Generate a Calendar table with all dates between the minimum and maximum date values in an Original table
2. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values - D. 1. Generate a Cartesian JOIN between productid and date in a Combined table
2. LEFT JOIN the Combined table with the Original table to populate the missing qty values
3. Use PREVIOUSO and SUM() functions to create the running quantity totals for each product for every month
Answer: C
NEW QUESTION # 41
A data architect needs to load Table_A from an Excel file and sort the data by Field_2.
Which script should the data architect use?
A)
B)
C)
D)
- A. Option C
- B. Option B
- C. Option A
- D. Option D
Answer: D
NEW QUESTION # 42
Refer to the exhibit.
A Human Resources Director needs an app to analyze organizational structure. The Directory is particularly interested in the longest levels of line management.
Two table loads are required. Both use the same basic structure.
Which two table load prefixes are needed?
- A. * HierarchyLevel(EmployeelD, ManagerlD Name Level, '/', Structure)
* HierarchyBelongsTo(EmployeelD, ManagerlD, Name ManagerlD, Manager, Depth) - B. * HierarchyBelongsTo(ManagerlD, Manager, ManagerlD, ManagerlD, Manager Level)
* Hierarchy(EmployeelD, ManagerlD, Name. Manager Name, Structure '/' Depth) - C. * HierarchyBelongs.To(EmployeeID, ManagerlD, Name ManagerlD, Manager, Depth)
- D. * Hierarchy(EmployeelD. ManagerlD Name, Manager Name, Structure V, Depth)
* HierarchyLevelEmployeelD, ManagerlD, Name, Manager, Name, Structure, Depth '/')
Answer: C
NEW QUESTION # 43
A data architect needs to create an app that combines employee data from the Sales system and the Human Resources (HR) system.
These systems identify employees differently Employees in the HR system are identified with an alpha-numeric key Employees in the Sales system are identified using an integer key.
The Human Resources manager creates a table that maps these keys to another, called Associations.
The resultant data model must meet the following requirements:
* Associations must be valid
* The model must be optimized for performance
* The option must support multiple tables added
Which solution should the data architect use to meet these requirements?
- A. RENAME FIELDS USING Associations;
- B. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
- C. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- D. MAP EmloyeeKey USING Associations;
Answer: D
Explanation:
The MAP function maps the EmployeeKey in the Sales system to the EmployeeKey in the HR system using the Associations table. This allows the data architect to join the data from the Sales system and the HR system using the same key, ensuring that the associations are valid.
Using the MAP function also optimizes the performance of the data model as it eliminates the need for multiple joins between the data from the Sales and HR systems.
This solution also supports multiple tables added, as the MAP function can be applied to any table that needs to be joined with the HR system data.
NEW QUESTION # 44
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Qlik QSDA2021 certification exam is a highly sought-after credential for data architects and analysts who specialize in utilizing Qlik Sense business intelligence tools. Qlik Sense Data Architect Certification Exam - February 2021 Release certification exam was released in February 2021 and is designed to assess the skills and knowledge of professionals who work with Qlik Sense data models, data connections, and data transformations.
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