QSDA2021 PDF Dumps Apr 30, 2023 Exam Questions – Valid QSDA2021 Dumps
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NEW QUESTION # 22
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. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;
- B. RENAME FIELDS USING Associations;
- C. APPLYMAP ( '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 # 23
Refer to the exhibit.
Which changes on the database will the script capture?
- A. Insert. Update, and Remove rows
- B. Insert and Update rows
- C. Insert and Remove rows
- D. Update and Remove rows
Answer: A
NEW QUESTION # 24
Refer to the exhibit.
While performing a data load from the source shown, the data architect notices it is NOT appropriate for the required analysis.
The data architect runs the following script to resolve this issue:
- A. 0
- B. 1
- C. 2
- D. 3
Answer: A
NEW QUESTION # 25
Refer to the exhibit.
Refer to the exhibit.
A data architect is loading two tables: Orders and Product. The Product table includes attributes and values for each ProductID such as Colour, Price, Category, and Description.
The business analyst can filter by the value of these attributes. For performance reasons, the Data Model will use two tables.
Which solution should the data architect apply in the Data Load Editor to build the ProductDetails table?
For performance reasons, the Data Model will use two tables a Load Editor to build the ProductDetails table?
- A. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table
- B. Use a Generic Load in the Product table and a For loop to left join each Generic table
- C. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
Answer: B
NEW QUESTION # 26
A data architect needs to revise an existing app.
The number of data rows has grown rapidly recently. While the app is in production, users are becoming increasingly unhappy about the response times when they make selections Which two methods should be used to improve performance? (Select two.)
- A. Use flags in the data model to simplify set analysis
- B. Denormalize the schema
- C. Use dynamic script generation with variables
- D. Make sure any Ul variables are preceded by '='
- E. Create master items for all complex expressions
Answer: A,C
NEW QUESTION # 27
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. Create a composite key using OrderlD and LineNo. and remove OrderlD and LineNo from Shipments
- B. Remove the LineNo field from Shipments and use the AutoNumber function on the
- C. Create a composite key using OrdertD and LineNo
- D. Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field
Answer: A
NEW QUESTION # 28
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 # 29
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. Simplify
- B. AddressLookup
- C. Intersect
- D. Binning
Answer: D
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 # 30
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, 31/12/20
- 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
Answer: A
NEW QUESTION # 31
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 # 32
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 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 - B. 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 - C. 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 - D. 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
Answer: A
NEW QUESTION # 33
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 where exists (ID, StorelD)
- B. Use Concatenate before loading the Stores table
- C. Use where exists (ID)
Answer: C
NEW QUESTION # 34
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?
- A. FilePath, FOR EACH, Peek, Drop
- B. FileExists, FOR EACH, IF
- C. FilePath, IF, THEN. Drop
- D. FileSize, IF, THEN, END IF
Answer: D
NEW QUESTION # 35
A data architect executes the following script:
What will Field_1 contain after this script is executed?
- A. Abed, abed, ABCD, ABCDABCD
- B. Abed, abed, ABCD
- C. abcd
- D. Abcd, abcd
Answer: B
NEW QUESTION # 36
Refer to the exhibit.
A data architect executes the script.
What will be the value of the first row for Field_1?
- A. D
- B. 0
- C. Null
- D. A
Answer: A
NEW QUESTION # 37
A data architect executes the following script:
What will be the result of Table A?
A)
B)
C)
D)
- A. Option A
- B. Option D
- C. Option C
- D. Option B
Answer: B
NEW QUESTION # 38
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. Canonical calendar
- B. Data island
- C. Multiple calendars
- D. Link table
- E. Generic load
Answer: A,D
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 # 39
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 A
- B. Option D
- C. Option C
- D. Option B
Answer: C
NEW QUESTION # 40
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The Qlik QSDA2021 Certification Exam is the latest version of the Qlik Sense Data Architect Certification Exam. This certification exam is designed for those who want to validate their skills and knowledge in data modeling, data analysis, and data visualization using Qlik Sense. The exam focuses on testing the candidate's ability to design and develop data models, create visualizations and dashboards, and perform data analysis using Qlik Sense.
Passing Key To Getting QSDA2021 Certified Exam Engine PDF: https://www.latestcram.com/QSDA2021-exam-cram-questions.html
