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인기자격증QSDA2024최신덤프데모최신버전시험덤프자료

요즘같이 시간인즉 금이라는 시대에 시간도 절약하고 빠른 시일 내에 학습할 수 있는 PassTIP의 덤프를 추천합니다. 귀중한 시간절약은 물론이고 한번에Qlik QSDA2024인증시험을 패스함으로 여러분의 발전공간을 넓혀줍니다.

PassTIP는 다른 회사들이 이루지 못한 PassTIP만의 매우 특별한 이점을 가지고 있습니다.PassTIP의Qlik QSDA2024덤프는 전문적인 엔지니어들의Qlik QSDA2024시험을 분석이후에 선택이 된 문제들이고 적지만 매우 가치 있는 질문과 답변들로 되어있는 학습가이드입니다.고객들은 단지 PassTIP에서 제공해드리는Qlik QSDA2024덤프의 질문과 답변들을 이해하고 마스터하면 첫 시험에서 고득점으로 합격을 할 것입니다.

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높은 통과율 QSDA2024최신 덤프데모 덤프샘플 다운

PassTIP는Qlik QSDA2024인증시험의 촉매제 같은 사이트입니다.Qlik QSDA2024인증시험 관연 덤프가 우리PassTIP에서 출시되었습니다. 여러분이Qlik QSDA2024인증시험으로 나 자신과 자기만의 뛰어난 지식 면을 증명하고 싶으시다면 우리 PassTIP의Qlik QSDA2024덤프자료가 많은 도움이 될 것입니다.

최신 Qlik Certification QSDA2024 무료샘플문제 (Q48-Q53):

질문 # 48
A company generates l 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 2 years of data in an aggregated app and create a separate transaction app for occasional use
• B. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
• C. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
• D. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

정답：C

 

질문 # 49
Exhibit.

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 they 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 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
  5. Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate
• B. 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. Left join Orders and OrderDetails
  5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and 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 the OrderDetails 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 Orders table
  2. Delete the ShipmentID in the Shipments table
  3. Delete the ProductID and OrderlD in the OrderDetails table
  4. Left join Orders and OrderDetails
  5. Use Derive statement with the MasterCalendar table and apply the derive fields to OrderDate and ShipmentDate

정답：A

설명：
In the given data model, there are several issues related to table relationships and key fields that need to be addressed to create a functional and optimized data model. Here's how each step in the chosen solution (Option C) resolves these issues:
* Create a key with OrderID and ProductID in the OrderDetails table and in the Shipments table:
* By creating a composite key with OrderID and ProductID, you uniquely identify each line item in both the OrderDetails and Shipments tables. This step is crucial for ensuring that each product within an order is correctly associated with its respective shipment.
* Delete the ShipmentID in the Orders table:
* The ShipmentID in the Orders table is redundant because the Shipments table already captures this information at a more granular level (i.e., at the product level). Removing ShipmentID avoids potential circular references or synthetic keys.
* Delete the ProductID and OrderID in the Shipments table:
* After creating the composite key in step 1, the individual ProductID and OrderID fields in the Shipments table are no longer necessary for joins. Removing them reduces redundancy and simplifies the table structure.
* Concatenate Orders and OrderDetails:
* Concatenating Orders and OrderDetails into a single table creates a unified table that contains all necessary order-related information. This helps in simplifying the model and avoiding issues related to managing separate but related tables.
* Create a link table using the MasterCalendar table and create a concatenated field between OrderDate and ShipmentDate:
* A link table is created to associate the combined table with the MasterCalendar. By creating a concatenated field that combines OrderDate and ShipmentDate, you ensure that both dates are properly linked to the calendar, allowing for accurate time-based analysis.

 

질문 # 50
A data architect executes the following script:

What will be the result of Table.A?

• A.
• B.
• C.
• D.

정답：B

설명：
In the script provided, there are two tables being loaded inline: Table_A and Table_B. The script uses the Join function to combine Table_B with Table_A based on the common field Field_1. Here's how the join operation works:
* Table_Ainitially contains three records with Field_1 values of 01, 01, and 02.
* Table_Bcontains two records with Field_1 values of 01 and 03.
When Join(Table_A) is executed, Qlik Sense will perform an inner join by default, meaning it will join rows from Table_B to Table_A where Field_1 matches in both tables. The result is:
* For Field_1 = 01, there are two matches in Table_A and one match in Table_B. This results in two records in the joined table where Field_4 and Field_5 values from Table_B are repeated for each match in Table_A.
* For Field_1 = 02, there is no corresponding Field_1 = 02 in Table_B, so the Field_4 and Field_5 values for this record will be null.
* For Field_1 = 03, there is no corresponding Field_1 = 03 in Table_A, so the record from Table_B with Field_1 = 03 is not included in the final joined table.
Thus, the correct output will look like this:
* Field_1 = 01, Field_2 = AB, Field_3 = 10, Field_4 = 30%, Field_5 = 500
* Field_1 = 01, Field_2 = AC, Field_3 = 50, Field_4 = 30%, Field_5 = 500
* Field_1 = 02, Field_2 = AD, Field_3 = 75, Field_4 = null, Field_5 = null

 

질문 # 51
A data architect implements Section Access on an app to reduce the data for each user when the user logs in.
Each user is allowed to see their specific territory only.
The app is set for a scheduled reload every three hours. Without Section Access added, the app loads successfully. When Section Access is added and the script runs, the app fails to load.
What is causing this issue?

• A. The service account running the task is not included in the Section Access table.
• B. The data architect does not have rights to reload the app.
• C. A user name listed in the Section Access table is spelled incorrectly.
• D. The ACCESS Column in the Section Access table has been added in lowercase.

정답：A

설명：
When implementing Section Access in Qlik Sense, it is crucial that all accounts that need to access the data- including the service account that performs the scheduled reload-are included in the Section Access table. If the service account is not included, Qlik Sense will not be able to access any data, leading to a failure in the reload process.
Here's a breakdown of why the other options are less likely:
* A. The ACCESS column in the Section Access table has been added in lowercase:This would generally result in a syntax error, but it would not allow the script to execute successfully without causing an immediate failure, unrelated to Section Access.
* C. A user name listed in the Section Access table is spelled incorrectly:While this could lead to some users not having the correct access, it would not cause the entire reload to fail. The issue here is broader, affecting the entire application load process.
* D. The data architect does not have rights to reload the app:If the architect did not have rights, the script would not run successfully even without Section Access.
The correct issue in this scenario is thatthe service account running the task is not included in the Section Access table. This is a common cause of load failures after adding Section Access. To resolve this, ensure that the service account is added with sufficient privileges in the Section Access table

 

질문 # 52
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.

정답：C

설명：
The issue described is that not all orders for a selected date are shown. This issue arises because the original script uses the Date(OrderTime) function, which only extracts the date part of the OrderTime timestamp, potentially resulting in incorrect matching when filtering by date due to the time component still being present in the underlying data.
Explanation of Option D:
* Floor(OrderTime): The Floor() function truncates the OrderTime timestamp to remove the time component, leaving only the date part. This ensures that all orders on the same date are treated equally, without any interference from the time component.
* Date(Floor(OrderTime), 'YYYY-MM-DD'): The Date() function formats the floored value into a date format (YYYY-MM-DD), which is essential for consistent date comparison.
This approach ensures that when you select a date in the application, all orders for that date are shown, as the time component has been effectively removed.

 

질문 # 53
......

Qlik인증 QSDA2024시험을 패스하여 자격증을 취득하시면 찬란한 미래가 찾아올것입니다. Qlik인증 QSDA2024인증시험을 패스하여 취득한 자격증은 IT인사로서의 능력을 증명해주며 IT업계에 종사하는 일원으로서의 자존심입니다. PassTIP 의 Qlik인증 QSDA2024덤프는 시험패스에 초점을 맞추어 제일 간단한 방법으로 시험을 패스하도록 밀어주는 시험공부가이드입니다.구매전Qlik인증 QSDA2024무료샘플을 다운받아 적성에 맞는지 확인하고 구매할지 않할지 선택하시면 됩니다.

QSDA2024최고품질 예상문제모음: https://www.passtip.net/QSDA2024-pass-exam.html

PassTIP의Qlik인증 QSDA2024덤프는 많은 시험본 분들에 의해 검증된 최신 최고의 덤프공부자료입니다.망설이지 마시고PassTIP제품으로 한번 가보세요, Qlik인증 QSDA2024시험은 IT업종종사분들에게 널리 알려진 유명한 자격증을 취득할수 있는 시험과목입니다, 우리PassTIP는 IT업계엘리트 한 강사들이 퍼펙트한Qlik QSDA2024문제집을 만들어서 제공합니다, Qlik인증 QSDA2024시험을 패스하여 자격증을 취득하여 승진이나 이직을 꿈구고 있는 분이신가요, 때문에 우리PassTIP를 선택함으로Qlik인증QSDA2024시험준비에는 최고의 자료입니다.

작게 신음을 내뱉으며 인상을 쓴 테스리안은 고개를 끄덕였QSDA2024다, 죽은 류 가주의 환청은 집요할 정도로 무섭지만 그때마다 광혼은 두 귀를 막으면서 중얼거렸다, PassTIP의Qlik인증 QSDA2024덤프는 많은 시험본 분들에 의해 검증된 최신 최고의 덤프공부자료입니다.망설이지 마시고PassTIP제품으로 한번 가보세요.

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