[Mar-2024] Qlik QSDA2022 Actual Questions and Braindumps
Pass QSDA2022 Exam with Updated QSDA2022 Exam Dumps PDF 2024
NEW QUESTION # 20
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: D
NEW QUESTION # 21
A data architect needs to write theexpression 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 (DISTINCT Salesperson, -Aggr (Sum(Sales) , Salesperson) )
- B. Concat (DISTINCT IF (Aggr (Rank (Sum (Sales) , 1) , Salesperson) =1, Salesperson) , ' ')
- C. Concat(DISTINCT IF (Aggr (Rank (Sum (Sales) , 4) , Salesperson) =1, Salesperson) , ' ')
- D. FirstSortedValue (Salesperson, -Aggr (Sum(Sales) , Salesperson) )
Answer: B
NEW QUESTION # 22 
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 # 23
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 toimprove performance? (Select two.)
- A. Create master items for all complex expressions
- B. Make sure any Ul variables are preceded by '='
- C. Denormalize the schema
- D. Use flags in the data model to simplify set analysis
- E. Use dynamic script generation with variables
Answer: D,E
NEW QUESTION # 24
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 duringanalysis.
Which feature should the data architect use to meet these requirements?
- A. IntervalMatch and use variables
- B. Nested IFs in a calculated dimension
- C. Class function in the script and use variables
- D. Class function in a calculated dimension
Answer: D
NEW QUESTION # 25
Refer to the exhibit.
What are the values of the variables vLoadStart and vLoadComplete after the script executes?
- A. vLoadStart; 'NOW{)'
vLoadComplete: current system date and time when the script ended - B. vLoadStart: current system date and time when the script started vLoadComplete: 'now()'
- C. vLoadStart: system date when the app was opened vLoadComplete: current system date and time when the script ended
- D. vLoadStart: system date when the app was opened vLoadComplete 'now()'
Answer: B
Explanation:
Explanation
vLoadStart variable is assigned the current system date and time when the script starts, and vLoadComplete variable is assigned the current system date and time when the script ends.
NEW QUESTION # 26
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 thelocation.
Which GeoAnalytics operation should the data architect use?
- A. Binning
- B. AddressLookup
- C. Simplify
- D. Intersect
Answer: A
Explanation:
Explanation
Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areascan 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 # 27
A customer has a dataset that contains latitude and longitude data for service points around the country. The data is retrieved using the following statement:
It must be clear to the end user that this is geographic data. Drag and drop, map-based visualization of this data is required. Which two steps should the data architect take to support this data? (Select two.)
- A. Add the following to the end of the script:
TAG FIELD LocationName With 'Sgeoname', *@relates_Pt';
TAG FIELD Point With 'Sgeopoint*f 'Srelates Location', '$hidden'; - B. Add GeoKakePoint (Lat, Long} as Point to Location's preceding load
- C. Add GeoProject{' Point' , Lat&Long) AS Point to the preceding load
- D. Define Location as a master item, and set the tag to Sgeodata
- E. Add the following to the end of the script:
TAG FIELD LocationName With 'Sgeodata1, 'Srelated'; TAG FIELD Point With 'Sgeodata', 'Srelated1;
Answer: A,C
NEW QUESTION # 28 
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. 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 - B. 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 - C. 1. Generate a Cartesian JOIN between productid and date in a Combined table
2. LEFT JOIN the Combined table with theOriginal 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 - D. 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
Answer: D
NEW QUESTION # 29
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
- D. 20210131, 2020/01/31, 31/01/2019, 0
Answer: A
NEW QUESTION # 30
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 associate both tables on CustomerlD field
- B. Open the data manager, split the Customers table, and JOIN Orders and Customers on the 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 # 31
Refer to the exhibit.
A data architect is working on a Qlik Sense app the business has created to analyze the company orders and shipments. To understand the table structure, the business has given the following summary:
* Every order creates a unique orderlD and an order date in the Orders table
* An order can contain one or more order lines one for each product ID in the order details table
* Products in the order are shipped (shipment date) as soon as tliey are ready and can be shipped separately
* The dates need to be analyzed separately by Year Month, and Quarter
The data architect realizes the data model has issues that must be fixed.
Which steps should the data architect perform?
- A. 1. Create a key with OrderlD and ProductID in the OrderDetails tab e and in the Orders table
2. Delete the ShipmentID in the Shipments table
3. Delete the ProductID and OrderlD in the OrderDetails
4. Left join Orders andOrderDetails
5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate - B. 1. Create a key with OrderlD and ProductID in the OrderDeta Is table and in the Shipments table
2. Delete the ShipmentID in the Orders table
3. Delete the ProductID and OrderlD in the Shipmi
4. Left join Orders and OrderDetails
5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDateand ShipmentDate - C. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Orders table
2. Delete the ShipmentID in the Shipments table
3. Delete the ProductID and OrderlD in theOrderDetails table
4. Concatenate Orders and OrderDetails
5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate - D. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table
2. Delete the ShipmentID in the Orders table
3 Delete the ProductID and OrderlD in the Shipments table
4. Concatenate Orders and OrderDetails
Answer: D
NEW QUESTION # 32
Refer to the exhibit.
A data architect is working with an app and creates some visualizations to check the data. Some visualizations showissues in the data set.
* The Sales by Country table shows a total OrderValue of 18,300 sales while the KPI shows a total OrderValue of 20,600.
* The Sales monthly trend bar chart does not work with the Month field.
Which two data issues should the data architect fix in the app? (Select two.)
- A. In the Orders table, some CustomerlD values are null because there are orders with no customer.
and needs to be incorporated in the table using the Calendar table, null because there are orders with no customer - B. In the Orders table, some values in the CustomerlD field do not exist in the Customers table.
- C. The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.
- D. The OrderDate field values in the Calendar table do not match with the values in the OrderDate field from the Orders table
Answer: B,D
NEW QUESTION # 33
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 section access to restrict sales manager access by region
- B. Use section access and include aservice account in the table
- C. Use On-Demand App Generation (ODAG) and section access
- D. Create an app for each sales manager with Qlik GeoAnalytics
Answer: A
NEW QUESTION # 34
Refer to the exhibits.
A music teacher needs to know which artists are eligible to enter this year's competition.
The teacher needs to find only the artists who have a music grade rank above two and play more than one instrument.
Which expression is needed for the Number of Instruments measure in the table?
- A. Count({$<Instrument={">=2"}, Artist={"=Grade>2"}>}Instrument)
- B. Count({S<Count(Instrument)={">=2"}, Grades={">2"}>}Instrument)
- C. Count ({S<Artist={"=Count(Instrument)>=2M}, Grades={">2"}>}Instrument)
- D. Count({$<Artist={"=Count(Instrument)>=2"}, Artist={"=Grade>2"}>}Instrument)
Answer: D
Explanation:
Explanation
The correct expression to use for the Number of Instruments measure in the table is Option A.
This expression will count the number of instruments played by artists with a music grade rank greater than two.
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NEW QUESTION # 35
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