[Mar 19, 2023] Fully Updated QSDA2021 Dumps - 100% Same Q&A In Your Real Exam [Q26-Q45]

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[Mar 19, 2023] Fully Updated QSDA2021 Dumps - 100% Same Q&A In Your Real Exam

Latest QSDA2021 Exam Dumps - Valid and Updated Dumps


Qlik QSDA2021 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Determine the correct method to optimize the data model for Qlik Sense
  • Determine the correct method to build data content based on requirements
Topic 2
  • Determine the correct method for date handling techniques
  • Given a scenario, identify the appropriate type of data model
Topic 3
  • Given a scenario, determine metrics and levels of granularity and aggregation
  • Given a scenario, determine the appropriate level of security
Topic 4
  • Determine dimensionality and need for slowly changing dimensionality support
  • Given a scenario, determine the data sources and connectors needed
Topic 5
  • Analyze relevant variables to build scripts for incremental loading for extract layer
  • etermine the correct method to implement data structures efficiently
Topic 6
  • Determine the appropriate method to create connections for data sources
  • Determine the correct method to perform script organization and cleansing
Topic 7
  • Given a scenario, determine the appropriate method to validate and test scripts
  • Determine the correct method to document Data Load scripts

 

NEW QUESTION 26
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 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.
  • B. 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
  • C. 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
  • D. 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

Answer: A

 

NEW QUESTION 27
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 aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
  • B. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data
  • C. Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use
  • D. Load only aggregated data for 2 years and apply filters on a sheet for transaction data

Answer: A

 

NEW QUESTION 28
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 section access
  • B. QMC security rules and custom properties
  • C. Section access and set analysis
  • D. Section access and sheet properties

Answer: A

 

NEW QUESTION 29
Refer to the exhibit.

A data architect executes the script.
What will be the value of the first row for Field_1?

  • A. A
  • B. Null
  • C. 0
  • D. D

Answer: D

 

NEW QUESTION 30
Refer to the exhibit.

Refer to the exhibits.
An app is built to analyze salesperson performance by department. Departments are unique within the Departments table, but Salespeople often move between departments. A strict business rule states that a salesperson must be associated with ONLY one department at all times.
The data architect creates a summary of department performance and notices the values are incorrect. The total sales KPI shows the correct result.
How should the data architect modify the data model to correct this issue?

  • A. Join the Transactions and Salespeople tables to resolve the many-to-many relationship
  • B. Join the Departments and Salespeople tables to resolve the many-to-many relationship
  • C. Create a bridge table between the Transactions and Salespeople tables to resolve the many-to-many relationship
  • D. Create a bridge table between the Departments and Salespeople tables to resolve the many-to-many relationship

Answer: D

 

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. Move the preceding Load statement in line 10 between table name (line 23) and Load statement (line 24).
  • B. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.
  • C. insert "Join (ProductDetails)" in front of the Load statement in line 24 to combine ProductPriceList with ProductDetails
  • D. Rename the Category field in the ProductPriceLis table to PnceCategory (line 24).

Answer: D

 

NEW QUESTION 32
Refer to the exhibits.

Some business users created an app by using the Add data functionality and loading two Excel files Orders and Customers.
The app is used to analyze the number of orders by customer. When the users create a bar chart to review the figures, the data shown is incorrect.
What should the data architect do to resolve this issue?

  • A. Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field
  • B. Open the data manager, split the Customers table, and associate both tables on CustomerlD field
  • C. Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table
  • D. Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD

Answer: D

 

NEW QUESTION 33
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 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. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values
  • 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: C

 

NEW QUESTION 34
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, 0
  • C. 20210131, 2020/01/31, 31/01/2019, 31/12/20
  • D. 20210131, 2020/01/31, 31/01/2019, 9999

Answer: C

 

NEW QUESTION 35
Refer to the exhibit.

Refer to the exhibits.
The first table, Mastersports, contains the master list of all sport names that need to be loaded into the app. The second table, TeamMembers, contains the teams and team members registered for specific sports.
In a Qlik Sense app, a data architect is loading the two tables that need to be linked together based on the Sport field. The table format cannot be changed in the source.
What should the data architect do in the data load editor?

  • A. Apply a preceding LOAD to the MasterSports table with the SUBFIELD function to create the Sport field
  • B. Apply a preceding LOAD from the TeamMembers table with the SUBFIELD function and rename the field to Sport
  • C. Apply a FOR loop to load to the MasterSports table creating the values for the Sport field

Answer: C

 

NEW QUESTION 36
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 Shipments and use the AutoNumber function on the
  • B. Remove the LineNo field from both tables and use the AutoNumber function on the OrderlC field
  • 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 37
A data architect needs to efficiently prepare a data model for a meeting in an hour.
The data source to be used contains five date fields The app needs to display sales trends and compare the current year to date (CYTD) to last year to date (LYTD) The app is NOT going to be published It will only be used for this meeting and a single user's ad-hoc analysis.
What should the data architect do to meet these requirements?

  • A. Use the data manager
  • B. Create five master calendars
  • C. Load a calendar island
  • D. Create a canonical calendar

Answer: D

 

NEW QUESTION 38
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. MAP EmloyeeKey USING Associations;
  • B. APPLYMAP ( 'Associations , EmployeeKey ) as Employeekey;
  • C. RENAME FIELDS USING Associations;
  • D. MAPSUBSTRING ( 'Associations' ,EMployeekey) As Employeekey;

Answer: A

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 39
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. Denormalize the schema
  • B. Make sure any Ul variables are preceded by '='
  • C. Use dynamic script generation with variables
  • D. Create master items for all complex expressions
  • E. Use flags in the data model to simplify set analysis

Answer: C,E

 

NEW QUESTION 40
Refer to the exhibit.

On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue.
What should the data architect do?

  • A. Create two different mapping tables
  • B. Use LOAD DISTINCT on the mapping table
  • C. Use a LEFT JOIN instead of the APPLYMAP
  • D. Review the values of the source mapping table

Answer: D

 

NEW QUESTION 41
The Marketing department is using some similar KPIs in different apps that need to be modified frequently according to the business needs. The KPIs are created using master items with the same expression.
Which method should the data architect use to manage the modifications in all apps?

  • A. Create a core app with all the master items needed and use a BINARY load in the other apps.
  • B. Create a selection app with all the master items and use an on-demand app generation method.
  • C. Create only a single app with all the master items needed and protect it with SECTION ACCESS.
  • D. Create a variable repository and load them using INCLUDE statements in the apps where needed

Answer: D

Explanation:
This method allows the data architect to store the KPIs in a single repository and then use INCLUDE statements to load them into the other apps. This makes it easy to modify the KPIs in one place and have the changes reflected in all the apps. Source: Qlik A variable repository is a central location where all of the master items used in the apps can be stored and managed. By creating a variable repository and loading the master items into each app using INCLUDE statements, the data architect can make modifications to the master items in one place, and the changes will be automatically propagated to all of the apps that use the master items.
This method allows for easy management of the master items and eliminates the need to make changes to each app individually, which can be time-consuming and prone to errors.

 

NEW QUESTION 42
Refer to the exhibit.

Which changes on the database will the script capture?

  • A. Update and Remove rows
  • B. Insert and Update rows
  • C. Insert. Update, and Remove rows
  • D. Insert and Remove rows

Answer: C

 

NEW QUESTION 43
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. FileSize, IF, THEN, END IF
  • B. FilePath, FOR EACH, Peek, Drop
  • C. FileExists, FOR EACH, IF
  • D. FilePath, IF, THEN. Drop

Answer: A

 

NEW QUESTION 44
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 synthetic table and one synthetic key
  • D. A circular reference with one table disconnected

Answer: D

 

NEW QUESTION 45
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