Get New 2023 Valid Practice To your QSDA2021 Exam (Updated 50 Questions)
Qlik Sense Data Architect QSDA2021 Exam Practice Test Questions Dumps Bundle!
Qlik QSDA2021 is the latest certification exam for Qlik Sense Data Architect that was released in February 2021. Qlik Sense Data Architect Certification Exam - February 2021 Release certification is designed to validate the skills and knowledge of data architects in the use of Qlik Sense, a popular data analytics platform. QSDA2021 exam is intended for professionals who want to demonstrate their expertise in data modeling, data analysis, and data visualization using Qlik Sense.
Qlik QSDA2021 Certification Exam is an online, proctored exam that consists of 50 multiple-choice questions. QSDA2021 exam is timed, and candidates are given 90 minutes to complete it. The questions are designed to test the candidate's understanding of Qlik Sense data architecture and their ability to apply this knowledge to real-world scenarios.
NEW QUESTION # 24
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 three synthetic keys
- B. A synthetic table with two synthetic keys
- C. A circular reference with one table disconnected
- D. A synthetic table and one synthetic key
Answer: C
NEW QUESTION # 25
A data architect wants to combine data on present and historic sales performance. The historic data is stored in a de-normalized archive, and the present data is maintained in a database. The output must be contained in a single table.
Which script should the data architect use?
A)
B)
C)
D)
- A. Option B
- B. Option C
- C. Option D
- D. Option A
Answer: B
NEW QUESTION # 26
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 B
- B. Option C
- C. Option A
- D. Option D
Answer: D
NEW QUESTION # 27
A company has a stream with multiple apps One of the apps is a multi-regional sales app.
A data architect must set up security for users to access the stream, enter the app, and view specific sheets and data.
Which features should the data architect use to meet these requirements?
- A. QMC security rules and custom properties
- B. Section access and sheet properties
- C. QMC security rules and section access
- D. Section access and set analysis
Answer: C
NEW QUESTION # 28
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. * HierarchyBelongsTo(ManagerlD, Manager, ManagerlD, ManagerlD, Manager Level)
* Hierarchy(EmployeelD, ManagerlD, Name. Manager Name, Structure '/' Depth) - B. * HierarchyBelongs.To(EmployeeID, ManagerlD, Name ManagerlD, Manager, Depth)
- C. * HierarchyLevel(EmployeelD, ManagerlD Name Level, '/', Structure)
* HierarchyBelongsTo(EmployeelD, ManagerlD, Name ManagerlD, Manager, Depth) - D. * Hierarchy(EmployeelD. ManagerlD Name, Manager Name, Structure V, Depth)
* HierarchyLevelEmployeelD, ManagerlD, Name, Manager, Name, Structure, Depth '/')
Answer: B
NEW QUESTION # 29
A data architect needs to build an Order Fulfillment app. The business requires front-end performance is optimized.
The OrderDate and ShipmentDate are located in different tables.
The user needs to identify the data type and must be able to:
* Show trends for orders and shipments
* Use a single filter for both date fields
* Analyze data over fiscal periods
Which steps should the data architect take to build the data model?
- A. 1. Create a master calendar table as a data island
2. Create a single filter using fields from the master calendar - B. 1. Create a link table with master calendar fields
2. Create a single filter using fields from the master calendar - C. 1. Load the Shipments and Orders table via the data manager
2. Create a single filter using fields from the Orders table - D. 1. Create a master calendar and join into the Shipments and Orders table
2. Create a single filter using fields from the Shipments table
Answer: B
NEW QUESTION # 30
Refer to the exhibit.
A data architect must classify each product into a price group. The price groups must be the same width by default and allow users to dynamically change the width of the bucket during analysis.
Which feature should the data architect use to meet these requirements?
- A. Class function in the script and use variables
- B. Nested IFs in a calculated dimension
- C. IntervalMatch and use variables
- D. Class function in a calculated dimension
Answer: D
NEW QUESTION # 31
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. Data island
- C. Link table
- D. Multiple calendars
- E. Canonical calendar
Answer: C,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 # 32
Refer to the exhibit.
Refer to the exhibit
A data architect is working on an app that contains orders, invoices, and shipping dat a. There are three different date fields within the data:
* OrderDate
* InvoiceDate
* ShippingDate
The business analyst needs to replicate the chart above to show Order and Shipping amounts on the same Month axis.
What should the data architect do?
- A. Create a Month field for each of the three dates in the fact table and use that in the chart
- B. Load the key field and the three date fields into a concatenated bridge table that contains KeyField and Date
- C. Left Join the three date fields onto one bridge table using the key field containing KeyField and Date
Answer: B
NEW QUESTION # 33
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. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- C. MAP EmloyeeKey USING Associations;
- D. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
Answer: C
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 # 34
Refer to the exhibit.
A data architect is loading the tables and a synth key is generated.
How should the data architect resolve the synthetic key?
- A. Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field
- B. Remove the LineNo field from Shipments and use the AutoNumber function on the
- C. Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments
- D. Create a composite key using OrdertD and LineNo
Answer: C
NEW QUESTION # 35
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. An Omit field has been applied
- B. The affected users were NOT added to the Section table
- C. A security rule has been applied to the sheet object
- D. Section access restricts too many records
Answer: D
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 # 36
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 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 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. - C. 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 - 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: B
NEW QUESTION # 37
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 CustomerKey.
Which script is valid to load the tables and maintain the correct association?
A)
B)
C)
D)
- A. Option B
- B. Option C
- C. Option D
- D. Option A
Answer: B
NEW QUESTION # 38
A company generates 1 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?
- A. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data
- B. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
- C. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
- D. Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use
Answer: B
NEW QUESTION # 39
A data architect needs to arrange data to create an app with a map where multiple location points consolidate into hexagonal areas based on postal codes The areas will be color coded based on the number of vendors in the location.
Which GeoAnalytics operation should the data architect use?
- A. Binning
- B. Simplify
- C. AddressLookup
- D. Intersect
Answer: A
Explanation:
Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areas can then be color coded based on the number of vendors in the location. Source: Qlik Binning is a GeoAnalytics operation that allows data points to be grouped into hexagonal areas based on a geographic field, such as postal codes. The data architect can use binning to group the location points by postal code and then color code the resulting hexagonal areas based on the number of vendors in each location.
This operation is useful for visualizing spatial data and identifying patterns or trends in the data.
NEW QUESTION # 40
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 # 41
Refer to the exhibit.
A data architect needs to modify the script to ONLY load rows from Table_B when Field_1 and Field_2 are the same as in Table_A.
(For example, only the row containing A, 1, 456 should be loaded from Table_B.)
Which script should the data architect use?
- A.
- B.
- C.
- D.
Answer: C
NEW QUESTION # 42
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. 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 - B. 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 - C. 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 - D. 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
Answer: B
NEW QUESTION # 43
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