QSDA2024시험대비 & QSDA2024최신업데이트덤프문제

DumpTOP을 선택함으로 100%인증시험을 패스하실 수 있습니다. 우리는Qlik QSDA2024시험의 갱신에 따라 최신의 덤프를 제공할 것입니다. DumpTOP에서는 무료로 24시간 온라인상담이 있으며, DumpTOP의 덤프로Qlik QSDA2024시험을 패스하지 못한다면 우리는 덤프전액환불을 약속 드립니다.

IT인증시험문제는 수시로 변경됩니다. 이 점을 해결하기 위해DumpTOP의Qlik인증 QSDA2024덤프도 시험변경에 따라 업데이트하도록 최선을 다하고 있습니다.시험문제 변경에 초점을 맞추어 업데이트를 진행한후 업데이트된Qlik인증 QSDA2024덤프를 1년간 무료로 업데이트서비스를 드립니다.

>> QSDA2024시험대비 <<

QSDA2024시험대비 최신 업데이트된 덤프

IT인증시험을 쉽게 취득하는 지름길은DumpTOP에 있습니다. DumpTOP의Qlik인증 QSDA2024덤프로 시험준비를 시작하면 성공에 가까워집니다. Qlik인증 QSDA2024덤프는 최신 시험문제 출제방향에 대비하여 제작된 예상문제와 기출문제의 모음자료입니다. Qlik인증 QSDA2024덤프는 시험을 통과한 IT업계종사자분들이 검증해주신 세련된 공부자료입니다. DumpTOP의Qlik인증 QSDA2024덤프를 공부하여 자격증을 땁시다.

최신 Qlik Certification QSDA2024 무료샘플문제 (Q45-Q50):

질문 # 45
Refer to the exhibit.

A system creates log files and csv files daily and places these files in a folder. The log files are named automatically by the source system and change regularly. All csv files must be loaded into Qlik Sense for analysis.
Which method should be used to meet the requirements?

정답：D

설명：
In the scenario described, the goal is to load all CSV files from a directory into Qlik Sense, while ignoring the log files that are also present in the same directory. The correct approach should allow for dynamic file loading without needing to manually specify each file name, especially since the log files change regularly.
Here's whyOption Bis the correct choice:
* Option A:This method involves manually specifying a list of files (Day1, Day2, Day3) and then iterating through them to load each one. While this method would work, it requires knowing the exact file names in advance, which is not practical given that new files are added regularly. Also, it doesn't handle dynamic file name changes or new files added to the folder automatically.
* Option B:This approach uses a wildcard (*) in the file path, which tells Qlik Sense to load all files matching the pattern (in this case, all CSV files in the directory). Since the csv file extension is explicitly specified, only the CSV files will be loaded, and the log files will be ignored. This method is efficient and handles the dynamic nature of the file names without needing manual updates to the script.
* Option C:This option is similar to Option B but targets text files (txt) instead of CSV files. Since the requirement is to load CSV files, this option would not meet the needs.
* Option D:This option uses a more complex approach with filelist() and a loop, which could work, but it's more complex than necessary. Option B achieves the same result more simply and directly.
Therefore,Option Bis the most efficient and straightforward solution, dynamically loading all CSV files from the specified directory while ignoring the log files, as required.

질문 # 46

Refer to the exhibits.
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. The script runs successfully but the resulting table is not correct.
What should the data architect do?

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

정답：C

설명：
In this scenario, the issue arises from using the applymap() function to normalize the country field values, but the result is incorrect. The reason is most likely related to the values in the source mapping table not matching the values in the Fact_Table properly.
The applymap() function in Qlik Sense is designed to map one field to another using a mapping table. If the source values in the mapping table are inconsistent or incorrect, the applymap() will not function as expected, leading to incorrect results.
Steps to resolve:
* Review the mapping table (MAP_COUNTRY): The country field in the CountryTable contains values such as "U.S.", "US", and "United States" for the same country. To correctly normalize the country names, you need to ensure that all variations of a country's name are consistently mapped to a single value (e.g., "USA").
* Apply Mapping: Review and clean up the mapping table so that all possible variants of a country are correctly mapped to the desired normalized value.
Key References:
* Mapping Tables in Qlik Sense: Mapping tables allow you to substitute field values with mapped values. Any mismatches or variations in source values should be thoroughly reviewed.
* Applymap() Function: This function takes a mapping table and applies it to substitute a field value with its mapped equivalent. If the mapped values are not correct or incomplete, the output will not be as expected.

질문 # 47
Exhibit.

Refer to the exhibit.
A business analyst informs the data architect that not all analysis types over time show the expected data.
Instead they show very little data, if any.
Which Qlik script function should be used to resolve the issue in the data model?

A. TimeStamp#(OrderDate, 'M/D/YYYY hh.mm.ff') AS OrderDate in both the table "Orders" and "Master Calendar"
B. Date(OrderDate) AS OrderDate in both the table "Orders" and "Master Calendar"
C. DatefFloor(OrderDate)) AS OrderDate in both the table "Orders" and "Master Calendar"
D. TimeStamp(OrderDate) AS OrderDate in both the table "Orders" and "Master Calendar"

정답：B

설명：
In the provided data model, there is an issue where certain types of analysis over time are not showing the expected data. This problem is often caused by a mismatch in the data formats of the OrderDate field between the Orders and MasterCalendar tables.
* Option A:DatefFloor(OrderDate)) would round down to the nearest date boundary, which might not address the root cause if the issue is related to different date and time formats.
* Option B:TimeStamp#(OrderDate, 'M/D/YYYY hh.mm.ff') ensures that the date is interpreted correctly as a timestamp, but this does not resolve potential mismatches in date format directly.
* Option C:TimeStamp(OrderDate) will keep both date and time, which may still cause mismatches if the MasterCalendar is dealing purely with dates.
* Option D:Date(OrderDate) formats the OrderDate to show only the date portion (removing the time part). This function will ensure that the date values are consistent across the Orders and MasterCalendar tables by converting the timestamps to just dates. This is the most straightforward and effective way to ensure consistency in date-based analysis.
In Qlik Sense, dates and timestamps are stored as dual values (both text and numeric), and mismatches can lead to incomplete or incorrect analyses. By using Date(OrderDate) in both the Orders and MasterCalendar tables, you ensure that the analysis will have consistent date values, resolving the issue described.

질문 # 48
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:86396169. 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. FileExists, FOR EACH, IF
C. FilePath, IF, THEN, Drop
D. FilePath, FOR EACH, Peek, Drop

정답：B

설명：
In this scenario, the data architect needs to verify the existence of files before attempting to load them and then proceed accordingly. The correct approach involves using the FileExists() function to check for the presence of each file. If the file exists, the script should execute the file loading routine. The FOR EACH loop will handle multiple files, and the IF statement will control the conditional loading.
* FileExists(): This function checks whether a specific file exists at the specified path. If the file exists, it returns TRUE, allowing the script to proceed with loading the file.
* FOR EACH: This loop iterates over a list of items (in this case, file paths) and executes the enclosed code for each item.
* IF: This statement checks the condition returned by FileExists(). If TRUE, it executes the code block for loading the file; otherwise, it skips to the next iteration.
This combination ensures that the script loads data only if the files are present, optimizing the data loading process and preventing unnecessary errors.

질문 # 49
Exhibit.

Refer to the exhibits.
The Orders table contains a list of orders and associated details. A data architect needs to replace the SupplierlD with the SupplierName using the second table as the source.
The output must be a single table.
Which script should the data architect use?

정답：B

설명：
In this scenario, the data architect needs to replace the SupplierID in the Orders table with the corresponding SupplierName from the Suppliers table, and the desired output should be a single table that includes all the order details along with the SupplierName instead of the SupplierID.
Analyzing the Options:
* Option A:
* Uses a MAPPING LOAD followed by an APPLYMAP to replace SupplierID with SupplierName in the Orders table. However, the table is dropped afterward, which means it won't produce the required output.
* The MAPPING LOAD approach is generally used to map values but is not necessary in this context as we are combining data from two tables directly.
* Option B:
* This option attempts to LEFT JOIN the Products table with the Suppliers table, but it does not directly address replacing SupplierID with SupplierName in the Orders table.
* Additionally, it does not remove the SupplierID after the join, which is essential for the correct output.
* Option C:
* This option uses a LEFT JOIN with the DISTINCT keyword on the SupplierID field to avoid duplicates. The SupplierName is correctly joined to the Orders table, replacing the SupplierID.
* This approach is the most appropriate because it results in a single table containing all order details with the SupplierName instead of the SupplierID.
* Option D:
* Similar to Option A, but it also introduces an unnecessary renaming step with MAPPING LOAD.
It's redundant and does not improve the solution over Option C.
Correct Script Choice:
Option Cis the correct script because:
* It ensures that SupplierName replaces SupplierID in the Orders table using a LEFT JOIN.
* The DISTINCT keyword is applied to the SupplierID field to prevent duplicate rows during the join.
* The result is a single table containing the required information with SupplierName in place of SupplierID.
References:
* Qlik Sense Join Operations: Using the correct JOIN type and ensuring proper deduplication (with DISTINCT if necessary) is key to merging tables in Qlik Sense.

질문 # 50
......

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QSDA2024최신 업데이트 덤프문제: https://www.dumptop.com/Qlik/QSDA2024-dump.html

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아니면 일을 끝내고 돌아갔을까, 네 놈은 저주받은 놈이야, 우리의 문제집으로 여러분은 충분히 안전이 시험을 패스하실 수 있습니다, IT업계에서 살아남으려면DumpTOP에서Qlik인증 QSDA2024덤프를 마련하여 자격증에 도전하여 자기의 자리를 찾아보세요.

QSDA2024시험대비 덤프데모 다운

시험불합격시 불합격성적표로 덤프비용을 환불받을수 있기에 아무런 고민을 하지 않으셔도 괜찮습니다, 인증시험을 쉽게 패스하는 방법, Qlik QSDA2024덤프는 최근Qlik QSDA2024시험의 기출문제모음으로 되어있기에 적중율이 높습니다.시험에서 떨어지면 덤프비용 전액 환불해드리기에 우려없이 덤프를 주문하셔도 됩니다.