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NEW QUESTION # 22
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 GeoKakePoint (Lat, Long} as Point to Location's preceding load
- B. Define Location as a master item, and set the tag to Sgeodata
- C. 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'; - D. Add the following to the end of the script:
TAG FIELD LocationName With 'Sgeodata1, 'Srelated'; TAG FIELD Point With 'Sgeodata', 'Srelated1; - E. Add GeoProject{' Point' , Lat&Long) AS Point to the preceding load
Answer: C,E
NEW QUESTION # 23
A data architect needs to develop multiple apps for various departments.
More departments are requesting apps over time The company uses specific requirementsfor the number interpretation variables (e.g., ThousandSep, DecimalSep) found at the beginning of a LOAD script.
The data architect wants to reduce duplicate scripts but does not want to copy and paste the number interpretation variables each time new appis created. The data architect prefers to use the least amount of script in Qlik Sense.
How should the data architect meet these requirements?
- A. Save the script for the number interpretation variables in a text file and use the CALL function to insert the variables.
- B. Create an Excel file with the number interpretation variables and use a FOR Next loop to load the variables into Qlik Sense
- C. Save the script for the number interpretation variables in a text file and INLUDE function to insert the variables
- D. Create an Excel file with the number interpretation variables and apply the variables to the app using a mapping table
Answer: C
Explanation:
Explanation
This method involves saving the script for the number interpretation variables in a separate text file, and then using theINCLUDE function to insert the variables into each new app script that is created. This reduces the need to copy and paste the number interpretation variables each time a new app is created and allows the data architect to use the least amount of script in Qlik Sense.
The INCLUDE function is a script statement that allows you to insert the contents of one script file into another script file. This can be used to insert common scripts, such as the number interpretation variables, into multiple app scripts.
NEW QUESTION # 24
ITALY IT001 HR
GERMANY DE002 HR
SPAIN SP03 FINANCE
FRANCE FRO04 SALES
Refer to the exhibit
A company stores the employee data within a key composed of Country UserlD, and Department. These fields are separated by a blank space. The UserlD field iscomposed of two characters that indicate the country followed by a unique code of two or three digits. A data architect wants to retrieve only that unique code.
- A. LEFT(SUBFIELD(Key, ' ', 2), 2)
- B. MID ( SUBFIELD (Key , ' ', 2), 3)
- C. RIGHT(SUBFIELD (Key,' ', 2), 3)
- D. LTRIM (SUBFIELD (Key, ' ', 2), 2)
Answer: A
Explanation:
Explanation
This expression will extract the unique code from the key by using the SUBFIELD function to separate the key into its components, and then using the LEFT function to extract the first two characters of the second component.Source: Qlik
NEW QUESTION # 25
A data architect completes development of a new app with two data sources Both data sources will also be used by other apps in the future The sources have different data refresh frequencies
* Source 1 Contains frequently updated data and must be refreshed hourly
* Source 2 Contains data that is transferred from a partner and must be refreshed weekly Tasks must be created to load the data sources and make sure that the new app uses the most current data The data will be stored in two QVDs Which tasks should be created to meet these requirements'?
- A. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs - B. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3 Schedule a task for the app that is dependent on completion of Tasks 1 and 2 that loads the two QVDs - C. 1. Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 that is dependent on Task 1 to refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Task 2 that loads the two QVDs - D. 1 Schedule Task 1 to run hourly and refresh data from Source 1
2 Schedule Task 2 to run weekly and refresh data from Source 2
3. Schedule a task for the app that is dependent on completion of Tasks 1 or 2 that loads the two QVDs
Answer: B
Explanation:
Explanation
This option ensures that the data in the two data sources is always up-to-date by scheduling the data refresh tasks to run at the appropriate frequencies. Task 1 runs hourly to refresh data from Source 1, and Task 2 is dependent on Task 1 so that it runs only after Task 1 is completed. This ensures that the data from Source 2 is loaded only after the most current data from Source 1 is loaded.
NEW QUESTION # 26
A company needs to analyze sales data based on the exchange rate of the different countries every day About
30 reports must be produced with an average of 20r000 rows each. This process is estimated to take about three hours.
Reports will be in Excel and distributed to business users according to defined security rules Which two products should the data architect use to build this solution? (Select two.)
- A. QIikDataMarket
- B. Qlik Storytelling
- C. QIik NPrinting
- D. ODAG
- E. OQIikGeoAnalytics
Answer: C,D
Explanation:
Explanation
The best answer choices are B.
ODAG and E. QIik NPrinting.
ODAG (On Demand Application Generation) is a product from Qlik that can be used to quickly generate reports from large datasets.
It can produce reports with up to 20,000 rows and can do so in less than three hours.
NPrinting is a product from Qlik that can be used to distribute the reports in Excel format according to the defined security rules.
NEW QUESTION # 27
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 appis 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. Load a calendar island
- B. Create five master calendars
- C. Use the data manager
- D. Create a canonical calendar
Answer: D
NEW QUESTION # 28
A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional data. The app must have minimal impact on already limited server resources.
Which approach should the data architect use?
- A. Loop and Reduce
- B. ODAG
- C. QVDs
- D. In-memory
Answer: C
Explanation:
Explanation
Using QVDs is the best approach for this scenario, as it allows the data to be stored in a highly compressed format, which will have minimal impact on server resources. Additionally, QVDs can be loaded quickly, which allows for faster access to the data based on user run-time selections. The other options, Loop and Reduce, In-memory, and ODAG, are not valid strategies for this scenario.
NEW QUESTION # 29
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 architectuse to meet these requirements?
- A. FilePath, FOR EACH, Peek, Drop
- B. FileExists, FOR EACH, IF
- C. FileSize, IF, THEN, END IF
- D. FilePath, IF, THEN. Drop
Answer: C
NEW QUESTION # 30
A table is generated resulting from the following script
When the data architect selects a date, some, but NOT all, orders for that date are shown How should the data architect modify the script to show all orders for the selected date?
A)
B)
C)
D)
- A. Option D
- B. Option B
- C. Option A
- D. Option C
Answer: D
NEW QUESTION # 31
Refer to the exhibit.
USER1 has an app protected using this Section Access statement.
Which countries can USER1 see in the app''
- A. Germany. Italy, United Kingdom, The Netherlands
- B. Italy, The Netherlands
- C. Germany Italy, The Netherlands
- D. Italy, United Kingdom, The Netherlands
Answer: D
NEW QUESTION # 32
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. AddressLookup
- B. Simplify
- C. Binning
- D. Intersect
Answer: C
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 # 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 On-Demand App Generation (ODAG) and section access
- B. Create an app for each sales manager with Qlik GeoAnalytics
- C. Use section access and include aservice account in the table
- D. Use section access to restrict sales manager access by region
Answer: D
NEW QUESTION # 34 
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 Generic Loadin the Product table and a For loop to left join each Generic table
- B. Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table
- C. Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together
Answer: A
NEW QUESTION # 35
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 D
- C. Option B
- D. Option A
Answer: B
NEW QUESTION # 36
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. Update and Remove rows
- D. Insert and Remove rows
Answer: A
NEW QUESTION # 37
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. 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 # 38
Refer to the exhibit.
A data architect executes the script.
What will be the value of the first row for Field_1?
- A. Null
- B. A
- C. 0
- D. D
Answer: D
NEW QUESTION # 39
Multiple department fields in a dataset require a description
A data architect needs to add the department descriptions or a default value when the department does NOT have a description Which strategy should the data architect use to meet these requirements?
- A. ApplyMap with two parameters after the Mapping load
- B. Enter "Missing description" in the blank rows for Description xlsx then Mapping Load
- C. Left Join between tables and Description xlsx in every Department table
- D. ApplyMap with three parameters after the Mapping load
Answer: D
Explanation:
Explanation
This strategy involves using the ApplyMap function with threeparameters after the Mapping load. This will allow the data architect to add the department descriptions or a default value when the department does not have a description.Source: Qlik
NEW QUESTION # 40 
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 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 - 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 # 41
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