COMPOSITE TEST QSDA2024 PRICE | QSDA2024 EXAM BRAINDUMPS

Composite Test QSDA2024 Price | QSDA2024 Exam Braindumps

Composite Test QSDA2024 Price | QSDA2024 Exam Braindumps

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Qlik QSDA2024 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data Model Design: In this section, data analysts and data architects are tested on their ability to determine relevant measures and attributes from each data source.
Topic 2
  • Data Transformations: This section examines the skills of data analysts and data architects in creating data content based on specific requirements. It also covers handling null and blank data and documenting Data Load scripts.
Topic 3
  • Data Connectivity: This part evaluates how data analysts identify necessary data sources and connectors. It focuses on selecting the most appropriate methods for establishing connections to various data sources.
Topic 4
  • Identify Requirements: This section assesses the abilities of data analysts in defining key business requirements. It includes tasks such as identifying stakeholders, selecting relevant metrics, and determining the level of granularity and aggregation needed.
Topic 5
  • Validation: This section tests data analysts and data architects on how to validate and test scripts and data. It focuses on selecting the best methods for ensuring data accuracy and integrity in given scenarios.

Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q16-Q21):

NEW QUESTION # 16
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) AS OrderDate in both the table "Orders" and "Master Calendar"
  • B. DatefFloor(OrderDate)) AS OrderDate in both the table "Orders" and "Master Calendar"
  • C. TimeStamp#(OrderDate, 'M/D/YYYY hh.mm.ff') AS OrderDate in both the table "Orders" and "Master Calendar"
  • D. Date(OrderDate) AS OrderDate in both the table "Orders" and "Master Calendar"

Answer: D

Explanation:
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.


NEW QUESTION # 17
A data architect needs to load data from two different databases. Additional data will be added from a folder that contains QVDs, text files, and Excel files.
What is the minimum number of data connections required?

  • A. Five
  • B. Three
  • C. Two
  • D. Four

Answer: C

Explanation:
In the scenario, the data architect needs to load data from two different databases, and additional data is located in a folder containing QVDs, text files, and Excel files.
Minimum Number of Data Connections Required:
* Database Connections:
* Each database requires a separate data connection. Therefore, two data connections are needed for the two databases.
* Folder Connection:
* A single folder data connection can be used to access all the QVDs, text files, and Excel files in the specified folder. Qlik Sense allows you to create a folder connection that can access multiple file types within that folder.
Total Connections:
* Two Database Connections: One for each database.
* One Folder Connection: To access the QVDs, text files, and Excel files.
Therefore, the minimum number of data connections required istwo.


NEW QUESTION # 18
A data architect needs to load Table_A from an Excel file and sort the data by Reld_2.
Which script should the data architect use?

  • A.
  • B.
  • C.
  • D.

Answer: C

Explanation:
In this scenario, the data architect needs to load Table_A from an Excel file and ensure that the data is sorted by Field_2. The key here is to correctly load and sort the data in the script.
Understanding the Options:
* Option A:
* First, it loads the data into a temporary table (Temp) from the Excel file.
* Then, it loads the data from the temporary table (Temp) into Table_A, using the ORDER BY Field_2 ASC clause to sort the data by Field_2.
* Finally, it drops the temporary table (Temp), leaving the sorted data in Table_A.
* Option B:
* Directly loads the data from the Excel file into Table_A and applies the ORDER BY Field_2 ASC clause in the same step.
* However, the ORDER BY clause in a direct load from an external source like Excel might not work as expected because Qlik Sense does not support ORDER BY when loading directly from a file.
* Option C:
* Similar to Option A but uses the NoConcatenate keyword to prevent concatenation, which is unnecessary since Temp and Table_A have different names.
* While this script works, the NoConcatenate keyword is redundant in this context.
* Option D:
* The ORDER BY Field_2 ASC is placed before the LOAD statement, which is not a correct usage in Qlik Sense script syntax.
Correct Script Choice:
* Option Ais the correct script because it correctly sorts the data after loading it into a temporary table and then loads the sorted data into Table_A. This method ensures that the data is sorted by Field_2 and avoids any issues related to sorting during the initial data load.
References:
* Qlik Sense Scripting Best Practices: When sorting data in Qlik Sense, the correct approach is to use a RESIDENT LOAD with an ORDER BY clause after loading the data into a temporary table.


NEW QUESTION # 19

Refer to the exhibit
A large transport company (Company A) acquires a smaller rival (Company B).
Company A has been using Qlik Sense tor 6 years to track revenue per ship journey. Ship journeys with no revenue (such as journeys to shipyards for repair) always show revenue of $0.
Company A wants to combine its data set with the data set of the acquired Company B. Company B's ship journey data shows $0 revenue in one of the following ways:
* A NULL value
* A value with one or more blank spaces (ASCII char code 32)
The data architect wants to conform the Company B data to the Company A standard, specifically regarding the use of an explicit $0 for journeys without revenue. Which script line should the data architect use?

  • A.
  • B.
  • C.
  • D.

Answer: A

Explanation:
In this scenario, the data architect needs to conform the revenue data from Company B to match the data standard of Company A, where $0 is explicitly used to represent journeys without revenue.
Explanation of the Correct Script:
* Option A:money(replace(Revenue, chr(32), 0)) AS [Revenue Conformed]
* replace(Revenue, chr(32), 0):This part of the expression replaces any spaces (ASCII character code 32) in the Revenue field with 0.
* money(...):This function formats the resulting value as currency. Since Company B may have either null values or spaces where 0 should be, this script ensures that any blanks are replaced with 0 and then formatted as currency.
Why Option A is Correct:
* Handling Spaces:The replace() function is effective in replacing spaces with 0, conforming to Company A's standard of using $0 for non-revenue journeys.
* Handling NULL Values:The money() function is used to ensure the final output is formatted as currency. However, it's important to note that NULL values are not directly handled by the replace() function, which is why it is applied before money() to deal with spaces.


NEW QUESTION # 20
Exhibit.

The Section Access security table for an app is shown. User ABCPPP opens a Qlik Sense app with a table using the field called LEVEL on one of the table columns.
Which is the result?

  • A. The table is removed from the user interface.
  • B. The table is displayed without the LEVEL column.
  • C. The user gets an 'Incomplete visualization' error.
  • D. The user gets a 'Field not found' error.

Answer: B

Explanation:
In this scenario, the Section Access security table controls user access to data within the Qlik Sense app. The user in question, ABCPPP, has a specific entry in the security table that determines their access rights to the LEVEL field.
Understanding Section Access:
* Section Accessis used to enforce security by restricting access to certain data based on the user's credentials.
* In the security table provided, the USER role for ABCPPP is set to have access to all data (* in the LINK field), but the OMIT field is set to LEVEL. The OMIT field in Section Access specifies fields that should be omitted from the user's view.
Outcome:
* Since the OMIT field for user ABCPPP is set to LEVEL, this user will not have access to the LEVEL field in the Qlik Sense application.
Option D: The table is displayed without the LEVEL columnis the correct outcome.
* Explanation: When user ABCPPP opens the app, the LEVEL field is omitted from their view. Any table or visualization that uses the LEVEL field will have that field excluded from display. The rest of the data and columns in the table will be visible, but the LEVEL column will not be shown.
References:
* Qlik Sense Security and Section Access Documentation: The OMIT functionality in Section Access is specifically designed to remove fields from the user's access, ensuring that sensitive or unnecessary data is not exposed.


NEW QUESTION # 21
......

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