QSDA2024 Qlik Sense Data Architect Certification Exam Dumps Questions

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<p>QSDA2024 Qlik Sense Data Architect Certification Exam - 2024 exam dumps</p><p>questions are the best material for you to test all the related QlikView exam</p><p>topics. By using the QSDA2024 exam dumps questions and practicing your skills,</p><p>you can increase your confidence and chances of passing the QSDA2024 exam.</p><p>Features of Dumpsinfo’s products</p><p>Instant Download</p><p>Free Update in 3 Months</p><p>Money back guarantee</p><p>PDF and Software</p><p>24/7 Customer Support</p><p>Besides, Dumpsinfo also provides unlimited access. You can get all</p><p>Dumpsinfo files at lowest price.</p><p>Qlik Sense Data Architect Certification Exam - 2024 QSDA2024 exam free</p><p>dumps questions are available below for you to study.</p><p>Full version: QSDA2024 Exam Dumps Questions</p><p>1.exhibit.</p><p>A data architect is validating that the script section, as shown in the exhibit, is working properly. They</p><p>need to stop the script with a preview of the value used with the Load statement.</p><p>1 / 13</p><p>https://www.dumpsinfo.com/unlimited-access/</p><p>https://www.dumpsinfo.com/exam/qsda2024</p><p>Where should the data architect put the debugger breakpoint?</p><p>A)</p><p>B)</p><p>C)</p><p>D)</p><p>A. Option A</p><p>B. Option B</p><p>C. Option C</p><p>D. Option D</p><p>Answer: A</p><p>Explanation:</p><p>In this scenario, the data architect needs to validate the script and specifically ensure that the</p><p>vMaxDate variable is being correctly utilized in the LOAD statement. The goal is to stop the script</p><p>execution at a point where the variable's value can be previewed.</p><p>Understanding the Options:</p><p>Option A places the breakpoint just after the assignment of the variable vMaxDate in the Where</p><p>2 / 13</p><p>https://www.dumpsinfo.com/</p><p>clause but before any data is loaded.</p><p>Option B, C, and D represent placements of the breakpoint after the LOAD statement begins</p><p>processing the Resident table, which means that the variable vMaxDate would have already been</p><p>utilized.</p><p>Correct Breakpoint Placement:</p><p>Option A is the correct choice because placing the breakpoint at this point allows you to preview the</p><p>value of vMaxDate right before it is used in the Where clause. This placement ensures that the script</p><p>execution halts before loading the data, allowing you to validate whether vMaxDate is correctly</p><p>defined and whether it correctly filters the data based on the [Date] field.</p><p>If the breakpoint were placed after the LOAD statement (as in Options B, C, or D), the script would</p><p>have already attempted to load the data, making it too late to inspect the variable's value before it's</p><p>used.</p><p>Reference: Qlik Sense Debugging Best Practices: When debugging, it is crucial to set breakpoints</p><p>before the execution of a critical operation where the values of variables or fields are used to ensure</p><p>that they hold the expected data.</p><p>2.Exhibit.</p><p>Refer to the exhibit.</p><p>A data architect is working on a Qlik Sense app the business has created to analyze the company</p><p>orders and shipments.</p><p>To understand the table structure, the business has given the following summary:</p><p>• Every order creates a unique orderlD and an order date in the Orders table</p><p>3 / 13</p><p>https://www.dumpsinfo.com/</p><p>• An order can contain one or more order lines one for each product ID in the order details table</p><p>• Products In the order are shipped (shipment date) as soon as they are ready and can be shipped</p><p>separately</p><p>• The dates need to be analyzed separately by Year, Month, and Quarter</p><p>The data architect realizes the data model has issues that must be fixed.</p><p>Which steps should the data architect perform?</p><p>A. 1. Create a key with OrderlD and ProductID in the OrderDetails table and in the Shipments table</p><p>3.A data architect needs to develop three separate apps (Sales, Finance, and Operations). The three</p><p>apps share numerous identical calculation expressions.</p><p>The goals include:</p><p>• Reducing duplicate script</p><p>• Saving time on expression modifications</p><p>• Increasing reusable Qlik developer assets.</p><p>The data architect creates a common script and stores it on a file server that Qlik Sense can access.</p><p>How should the data architect complete the requirements?</p><p>A. Macro on server</p><p>B. Execute server script</p><p>C. Include script function</p><p>D. Call batch file</p><p>Answer: C</p><p>Explanation:</p><p>When developing multiple Qlik Sense applications (Sales, Finance, Operations) that share numerous</p><p>identical calculation expressions, it is crucial to have a centralized, reusable script to avoid</p><p>redundancy, save time on modifications, and increase the reusability of the assets.</p><p>The best approach in Qlik Sense to achieve these goals is to use the Include script function. This</p><p>function allows the data architect to reference a script file that is stored on a file server. The Include</p><p>function will inject the contents of the external script file into the Qlik Sense script at the point where</p><p>the Include statement is called. This means that all three apps (Sales, Finance, Operations) can</p><p>include this common script, and any updates made to the script will automatically apply to all apps</p><p>that include it.</p><p>This method provides a highly maintainable solution because:</p><p>No Duplicate Script: The shared logic is maintained in a single file, eliminating redundancy.</p><p>Ease of Modifications: Any changes made to the script are propagated to all applications that include</p><p>it.</p><p>Reusable Assets: The script can be reused across different applications, enhancing efficiency and</p><p>consistency.</p><p>4.Refer to the exhibit</p><p>4 / 13</p><p>https://www.dumpsinfo.com/</p><p>A large transport company (Company A) acquires a smaller rival (Company B).</p><p>Company A has been using Qlik Sense tor 6 years to track revenue per ship journey. Ship journeys</p><p>with no revenue (such as journeys to shipyards for repair) always show revenue of $0.</p><p>Company A wants to combine its data set with the data set of the acquired Company B.</p><p>Company B's ship journey data shows $0 revenue in one of the following ways:</p><p>• A NULL value</p><p>• A value with one or more blank spaces (ASCII char code 32)</p><p>The data architect wants to conform the Company B data to the Company A standard, specifically</p><p>regarding the use of an explicit $0 for journeys without revenue.</p><p>Which script line should the data architect use?</p><p>A)</p><p>B)</p><p>C)</p><p>D)</p><p>A. Option A</p><p>B. Option B</p><p>C. Option C</p><p>D. Option D</p><p>Answer: A</p><p>Explanation:</p><p>In this scenario, the data architect needs to conform the revenue data from Company B to match the</p><p>data standard of Company A, where $0 is explicitly used to represent journeys without revenue.</p><p>Explanation of the Correct Script:</p><p>Option A: money(replace(Revenue, chr(32), 0)) AS [Revenue Conformed]</p><p>replace(Revenue, chr(32), 0): This part of the expression replaces any spaces (ASCII character code</p><p>32) in the Revenue field with 0.</p><p>money(...): This function formats the resulting value as currency. Since Company B may have either</p><p>null values or spaces where 0 should be, this script ensures that any blanks are replaced with 0 and</p><p>then formatted as currency.</p><p>Why Option A is Correct:</p><p>Handling Spaces: The replace() function is effective in replacing spaces with 0, conforming to</p><p>Company A's standard of using $0 for non-revenue journeys.</p><p>Handling NULL Values: The money() function is used to ensure the final output is formatted as</p><p>currency. However, it's important to note that NULL values are not directly handled by the replace()</p><p>function, which is why it is applied before money() to deal with spaces.</p><p>5. Delete the ProductID and OrderlD in the OrderDetails table</p><p>5 / 13</p><p>https://www.dumpsinfo.com/</p><p>6.A data architect inherits an app that takes too long to load and overruns the data load window.</p><p>The app pulls all records (new and historical) from three large databases. The reload process puts a</p><p>heavy load on the source database servers. All of the data is required for analysis.</p><p>What should the data architect do?</p><p>A. Make sure the individual reload tasks in the QMC are not running in parallel</p><p>B. Implement Direct Discovery with partial load</p><p>C. Implement incremental load on each database using QVD files</p><p>D. Implement ODAG to split out the app into smaller chunks</p><p>Answer: C</p><p>Explanation:</p><p>The scenario describes an app that is experiencing long load times due to the need to pull all records,</p><p>both new and historical, from three large databases. This situation puts a strain on both the Qlik</p><p>environment and the source databases. Given that all data is required for analysis, a full reload each</p><p>time can be inefficient and resource-intensive.</p><p>Implementing incremental load is a widely recommended approach in such cases. Incremental</p><p>loading allows you to load only new or changed data since the last reload, rather than reloading all</p><p>the data every time. This significantly reduces the time and resources required for reloading, as only a</p><p>subset of the data needs to be processed during each reload. QVD (QlikView Data) files are typically</p><p>used to store the historical data, while only the new or updated records are fetched from the source</p><p>databases.</p><p>This approach would help:</p><p>Reduce the load on the source databases.</p><p>Shorten the data reload window.</p><p>Maintain historical data efficiently while ensuring that all new data is captured.</p><p>7.Exhibit.</p><p>The Section Access security table for an app is shown. User ABC\PPP opens a Qlik Sense app with a</p><p>table using the field called LEVEL on one of the table columns.</p><p>Which is the result?</p><p>A. The table is removed from the user interface.</p><p>B. The user gets an 'Incomplete visualization' error.</p><p>C. The user gets a 'Field not found' error.</p><p>D. The table is displayed without the LEVEL column.</p><p>Answer: D</p><p>Explanation:</p><p>In this scenario, the Section Access security table controls user access to data within the Qlik Sense</p><p>6 / 13</p><p>https://www.dumpsinfo.com/</p><p>app. The user in question, ABC\PPP, has a specific entry in the security table that determines their</p><p>access rights to the LEVEL field.</p><p>Understanding Section Access:</p><p>Section Access is used to enforce security by restricting access to certain data based on the user's</p><p>credentials.</p><p>In the security table provided, the USER role for ABC\PPP is set to have access to all data (* in the</p><p>LINK field), but the OMIT field is set to LEVEL. The OMIT field in Section Access specifies fields that</p><p>should be omitted from the user's view.</p><p>Outcome:</p><p>Since the OMIT field for user ABC\PPP is set to LEVEL, this user will not have access to the LEVEL</p><p>field in the Qlik Sense application.</p><p>Option D: The table is displayed without the LEVEL column is the correct outcome.</p><p>When user ABC\PPP opens the app, the LEVEL field is omitted from their view. Any table or</p><p>visualization that uses the LEVEL field will have that field excluded from display. The rest of the data</p><p>and columns in the table will be visible, but the LEVEL column will not be shown.</p><p>Reference: Qlik Sense Security and Section Access Documentation: The OMIT functionality in</p><p>Section Access is specifically designed to remove fields from the user's access, ensuring that</p><p>sensitive or unnecessary data is not exposed.</p><p>8.Refer to the exhibit.</p><p>A system creates log files and csv files daily and places these files in a folder. The log files are named</p><p>automatically by the source system and change regularly. All csv files must be loaded into Qlik Sense</p><p>for analysis.</p><p>Which method should be used to meet the requirements?</p><p>A)</p><p>B)</p><p>C)</p><p>7 / 13</p><p>https://www.dumpsinfo.com/</p><p>D)</p><p>A. Option A</p><p>B. Option B</p><p>C. Option C</p><p>D. Option D</p><p>Answer: B</p><p>Explanation:</p><p>In the scenario described, the goal is to load all CSV files from a directory into Qlik Sense, while</p><p>ignoring the log files that are also present in the same directory. The correct approach should allow</p><p>for dynamic file loading without needing to manually specify each file name, especially since the log</p><p>files change regularly.</p><p>Here’s why Option B is the correct choice:</p><p>Option A: This method involves manually specifying a list of files (Day1, Day2, Day3) and then</p><p>iterating through them to load each one. While this method would work, it requires knowing the exact</p><p>file names in advance, which is not practical given that new files are added regularly. Also, it doesn’t</p><p>handle dynamic file name changes or new files added to the folder automatically.</p><p>Option B: This approach uses a wildcard (*) in the file path, which tells Qlik Sense to load all files</p><p>matching the pattern (in this case, all CSV files in the directory). Since the csv file extension is</p><p>explicitly specified, only the CSV files will be loaded, and the log files will be ignored. This method is</p><p>efficient and handles the dynamic nature of the file names without needing manual updates to the</p><p>script.</p><p>Option C: This option is similar to Option B but targets text files (txt) instead of CSV files. Since the</p><p>requirement is to load CSV files, this option would not meet the needs.</p><p>Option D: This option uses a more complex approach with filelist() and a loop, which could work, but</p><p>it’s more complex than necessary. Option B achieves the same result more simply and directly.</p><p>Therefore, Option B is the most efficient and straightforward solution, dynamically loading all CSV</p><p>files from the specified directory while ignoring the log files, as required.</p><p>9. Load the Sales table and use ApplyMap to get the names for SalesPersonID and</p><p>RegionalAcctMgrlD</p><p>C. 1. Load the Sales table</p><p>10. Verify that the file exists</p><p>11.A data architect needs to develop a script to export tables from a model based upon rules from an</p><p>independent file.</p><p>The structure of the text file with the export rules is as follows:</p><p>These rules govern which table in the model to export, what the target root filename should be, and</p><p>8 / 13</p><p>https://www.dumpsinfo.com/</p><p>the number of copies to export.</p><p>The TableToExport values are already verified to exist in the model.</p><p>In addition, the format will always be QVD, and the copies will be incrementally numbered.</p><p>For example, the Customers table would be exported as:</p><p>What is the minimum set of scripting strategies the data architect must use?</p><p>A. One loop and two IF statements</p><p>B. One loop and one SELECT CASE statement</p><p>C. Two loops and one IF statement</p><p>D. Two loops without any conditional statements</p><p>Answer: A</p><p>Explanation:</p><p>In the provided scenario, the goal is to export tables from a Qlik Sense model based on rules</p><p>specified in an external text file. The structure of the text file indicates which table to export, the</p><p>filename to use, and how many copies to create.</p><p>Given this structure, the data architect needs to:</p><p>Loop through each row in the text file to process each table.</p><p>Use an IF statement to check whether the specified table exists in the model (though it's mentioned</p><p>they are verified to exist, this step may involve conditional logic to ensure the rules are correctly</p><p>followed).</p><p>Use another IF statement to handle the creation of multiple copies, ensuring each file is named</p><p>incrementally (e.g., Clients1.qvd, Clients2.qvd, etc.).</p><p>Key Script Strategies:</p><p>Loop: A loop is necessary to iterate through each row of the text file to process the tables specified for</p><p>export.</p><p>IF Statements: The first IF statement checks conditions such as whether the table should be exported</p><p>(based on additional logic if needed). The second IF statement handles the creation of multiple copies</p><p>by incrementing the filename.</p><p>This approach covers all the necessary logic with the minimum set of scripting strategies, ensuring</p><p>that each table is exported according to the rules defined.</p><p>12.Exhibit</p><p>9 / 13</p><p>https://www.dumpsinfo.com/</p><p>Refer to the exhibit.</p><p>The salesperson ID and the office to which the salesperson belongs is stored for each transaction.</p><p>The data model also contains the current office for the salesperson. The current office of the</p><p>salesperson and the office the salesperson was in when the transaction occurred must be visible. The</p><p>current source table view of the model is shown. A data architect must resolve the synthetic key.</p><p>How should the data architect proceed?</p><p>A. Comment out the Office in the Transaction table</p><p>B. Inner Join the Transaction table to the CurrentOffice table</p><p>C. Alias Office to CurrentOffice In the CurrentOffice</p><p>table</p><p>D. Force concatenation between the tables</p><p>Answer: C</p><p>Explanation:</p><p>In the provided data model, both the CurrentOffice and Transaction tables contain the fields SalesID</p><p>and Office. This leads to the creation of a synthetic key in Qlik Sense because of the two common</p><p>fields between the two tables. A synthetic key is created automatically by Qlik Sense when two or</p><p>more tables have two or more fields in common. While synthetic keys can be useful in some</p><p>scenarios, they often lead to unwanted and unexpected results, so it’s generally advisable to resolve</p><p>them.</p><p>In this case, the goal is to have both the current office of the salesperson and the office where the</p><p>transaction occurred visible in the data model.</p><p>Here’s how each option compares:</p><p>Option A: Comment out the Office in the Transaction table: This would remove the Office field from</p><p>the Transaction table, which would prevent you from seeing which office the salesperson was in when</p><p>the transaction occurred. This option does not meet the requirement.</p><p>Option B: Inner Join the Transaction table to the CurrentOffice table: Performing an inner join would</p><p>merge the two tables based on the common SalesID and Office fields. However, this might result in a</p><p>loss of data if there are sales records in the Transaction table that don’t have a corresponding record</p><p>in the CurrentOffice table or vice versa. This approach might also lead to unexpected results in your</p><p>analysis.</p><p>Option C: Alias Office to CurrentOffice In the CurrentOffice table: By renaming the Office field in the</p><p>CurrentOffice table to CurrentOffice, you prevent the synthetic key from being created. This allows</p><p>you to differentiate between the salesperson’s current office and the office where the transaction</p><p>occurred. This approach maintains the integrity of your data and allows for clear analysis.</p><p>Option D: Force concatenation between the tables: Forcing concatenation would combine the rows of</p><p>both tables into a single table. This would not solve the issue of distinguishing between the current</p><p>office and the office at the time of the transaction, and it could lead to incorrect data associations.</p><p>10 / 13</p><p>https://www.dumpsinfo.com/</p><p>Given these considerations, the best approach to resolve the synthetic key while fulfilling the</p><p>requirement of having both the current office and the office at the time of the transaction visible is to</p><p>Alias Office to CurrentOffice in the CurrentOffice table. This ensures that the data model will</p><p>accurately represent both pieces of information without causing synthetic key issues.</p><p>13. If the file exists, upload it Otherwise, skip to the next piece of code.</p><p>The script will repeat this subroutine for each source.</p><p>When the script ends, all uploaded files will be removed with a batch procedure.</p><p>Which option should the data architect use to meet these requirements?</p><p>A. FilePath, FOR EACH, Peek, Drop</p><p>B. FileSize, IF, THEN, END IF</p><p>C. FilePath, IF, THEN, Drop</p><p>D. FileExists, FOR EACH, IF</p><p>Answer: D</p><p>Explanation:</p><p>In this scenario, the data architect needs to verify the existence of files before attempting to load them</p><p>and then proceed accordingly. The correct approach involves using the FileExists() function to check</p><p>for the presence of each file. If the file exists, the script should execute the file loading routine. The</p><p>FOR EACH loop will handle multiple files, and the IF statement will control the conditional loading.</p><p>FileExists(): This function checks whether a specific file exists at the specified path. If the file exists, it</p><p>returns TRUE, allowing the script to proceed with loading the file.</p><p>FOR EACH: This loop iterates over a list of items (in this case, file paths) and executes the enclosed</p><p>code for each item.</p><p>IF: This statement checks the condition returned by FileExists(). If TRUE, it executes the code block</p><p>for loading the file; otherwise, it skips to the next iteration.</p><p>This combination ensures that the script loads data only if the files are present, optimizing the data</p><p>loading process and preventing unnecessary errors.</p><p>14.Exhibit.</p><p>Refer to the exhibit.</p><p>A data architect is loading two tables into a data model from a SQL database. These tables are</p><p>related on key fields CustomerlD and Customer Key.</p><p>Which script should the data architect use?</p><p>A)</p><p>11 / 13</p><p>https://www.dumpsinfo.com/</p><p>B)</p><p>C)</p><p>D)</p><p>A. Option A</p><p>B. Option B</p><p>C. Option C</p><p>D. Option D</p><p>Answer: D</p><p>Explanation:</p><p>In the scenario, two tables (OrderDetails and Customers) are being loaded into the Qlik Sense data</p><p>model, and these tables are related via the fields CustomerID and CustomerKey. The goal is to</p><p>ensure that the relationship between these two tables is correctly established in Qlik Sense without</p><p>creating synthetic keys or data inconsistencies.</p><p>Option A: Renaming CustomerKey to CustomerID in the OrderDetails table ensures that the fields will</p><p>have the same name across both tables, which is necessary to create the relationship. However,</p><p>12 / 13</p><p>https://www.dumpsinfo.com/</p><p>renaming is done using AS, which might create an issue if the fields in the original data source have a</p><p>different meaning.</p><p>Option B and C: These options use AUTONUMBER to convert the CustomerKey and CustomerID to</p><p>unique numeric values. However, using AUTONUMBER for both fields without ensuring they are</p><p>aligned correctly might lead to incorrect associations since AUTONUMBER generates unique values</p><p>based on the order of data loading, and these might not match across tables.</p><p>Option D: This approach loads the tables with their original field names and then uses the RENAME</p><p>FIELD statement to align the field names (CustomerKey to CustomerID). This ensures that the key</p><p>fields are correctly aligned across both tables, maintaining their relationship without introducing</p><p>synthetic keys or mismatches.</p><p>Powered by TCPDF (www.tcpdf.org)</p><p>13 / 13</p><p>https://www.dumpsinfo.com/</p><p>http://www.tcpdf.org</p>