[2023年06月] 最新のQlik QSDA2022テスト問題集とオンライン試験エンジン [Q38-Q57]

[2023年06月] 最新のQlik QSDA2022テスト問題集とオンライン試験エンジン

Qlik QSDA2022問題を提供していますQlik Sense Data Architect問題集と完璧な解答付き

質問 # 38
A data architect needs to develop a script to export tables from a model based upon rules from an independent file. Thestructure of the text file with the export rules is as follows:

These rules govern which table in the model to export, what the target root filename should be, and the number of copies to export.
The TableToExport values are already verified to existin the model.
In addition, the format will always be QVD, and the copies will be incrementally numbered.
For example, the Customer table would be exported as:
What is the minimum set of scripting strategies the data architect must use?

A. One loop and two IF statements
B. One loop and one SELECT CASE statement
C. Two loopswithout any conditional statement
D. Two loops and one IF statement

正解：B

解説：
Explanation
The data architect will need to use a single loop to iterate through the rows of the independent filecontaining the export rules. Within the loop, they will need to use a SELECT CASE statement to determine which table in the model to export based on the TableToExport value in the current row of the independent file. They can then use the StoreAsFilenamevalue to determine the target root filename, and the NumberOfCopies value to determine the number of copies to export.
This approach makes use of a single loop to iterate through the rows of the independent file, and a SELECT CASE statement to determine which table to export based on the TableToExport value in the current row. It is the most efficient way to accomplish the task with minimal scripting.
You can find the Qlik scripting documentation for Store statement
here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptPrefixes/Store.htman SELECT CASE statement here:https://help.qlik.com/en-US/sense/June2020/Subsystems/Hub/Content/Scripting/ScriptStatements/Select.htm

質問 # 39

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 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
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. LEFT JOIN the Calendar table back to the Original table to populate the missing qty values
D. 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

正解：C

質問 # 40
A data architect needs to upload different data sources. To properly handle null values, the data architect decides to set all of these values to "Missing Value".
Which syntax should the data architect use?

A. NullasNull *;
Set NullValues = 'Missing Value';
B. NullAsValue*;
Set NullValue = 'Missing Value';
C. NullAsValue*; Set NullValues = 'Missing Value';
D. NullasNull *;
Set NullValue = 'Missing Value';

正解：C

解説：
Explanation
This syntax will set all null values to "Missing Value" in the data sources. The other options are not valid syntax and will not achieve the desired result.

質問 # 41
A data architect executes the following script:

What will Field_1 contain after this script is executed?

A. Abcd, abcd
B. Abed, abed, ABCD, ABCDABCD
C. abcd
D. Abed, abed, ABCD

正解：D

質問 # 42
Refer to the exhibit.

A global sales organization operates in three regions: AMERICAS, EMEA: and APAC. Each region stores its sales transactions in a separate database in which the employees update customer data through a third-party app. The data is extracted into three QVDs.
A data architect sets up a two-tier architecture for the data load. The data architect needs to add the region to the data model.
Which technique should the data architect use to create the Region field?

A. Create a Region field in the SalesTransaction table and populate using fixed region values while loading from each source
B. Create a Region field in the Employee table and populate using the LTrim function on the EmployeelD
C. Create a Region field in the Employee table and populate using the SubField function on the EmployeelD
D. Create a Region field in the SalesTransaction table and create a mapping table based on the Country field in the Customer table

正解：A

質問 # 43
A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.
An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs Which strategy should the data architect use to meet these requirements?

A. Create master items using business-friendly names
B. Load in the Excel file as a data island and use the Peek function
C. Use the Rename function and a mapping load
D. Use the Alias function and a mapping load

正解：C

解説：
Explanation
The Rename function allows the data architect to rename fields from the source data to the names specified in the Excel file. The mapping load allows the data architect to load the mapping between the source field names and the business-friendly names from the Excel file. The other options, Create master items using business-friendly names, Use the Alias function and a mapping load, and Load in the Excel file as a data island and use the Peek function, are not valid strategies for meeting these requirements.

質問 # 44

Refer to the exhibits.
An app is built to analyze salesperson performance by department. Departments are unique within the Departments table, but Salespeople often move between departments. A strict business rule states that a salesperson must be associated with ONLY one department at all times.
The data architect creates a summary of department performance and notices the values are incorrect. The total sales KPI shows the correct result.
How should the data architect modify the data model to correct this issue?

A. Create a bridge table between the Transactions and Salespeople tables to resolve the many-to-many relationship
B. Join the Transactions and Salespeople tables to resolve the many-to-many relationship
C. Create a bridge table between the Departments and Salespeople tables to resolve the many-to-many relationship
D. Join theDepartments and Salespeople tables to resolve the many-to-many relationship

正解：C

質問 # 45

Refer to the exhibit
A data architect is working on an app that contains orders, invoices, and shipping data. There are three different date fields within the data:
* OrderDate
* InvoiceDate
* ShippingDate
The business analyst needs to replicate the chart above to show Order and Shipping amounts on the same Month axis.
What should the data architect do?

A. Create a Month field for each of the three dates in the fact table and use that in the chart
B. Load the key field and the three date fields into a concatenated bridge table that contains KeyField and Date
C. Left Join the three date fields onto one bridge table using the key field containing KeyField and Date

正解：B

質問 # 46
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. Germany Italy, The Netherlands
C. Italy, The Netherlands
D. Italy, United Kingdom, The Netherlands

正解：D

質問 # 47
Refer to the exhibits.

A music teacher needs to know which artists are eligible to enter this year's competition.
The teacher needs to find only the artists who have a music grade rank above two and play more than one instrument.
Which expression is needed for the Number of Instruments measure in the table?

A. Count ({S<Artist={"=Count(Instrument)>=2M}, Grades={">2"}>}Instrument)
B. Count({S<Count(Instrument)={">=2"}, Grades={">2"}>}Instrument)
C. Count({$<Artist={"=Count(Instrument)>=2"}, Artist={"=Grade>2"}>}Instrument)
D. Count({$<Instrument={">=2"}, Artist={"=Grade>2"}>}Instrument)

正解：C

解説：
Explanation
The correct expression to use for the Number of Instruments measure in the table is Option A.
This expression will count the number of instruments played by artists with a music grade rank greater than two.
How to build a data architecture to drive innovation--today and ...
https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/how-to-build-a-data-architecture-to-drive- Big data in healthcare: management, analysis and future prospects ...
https://journalofbigdata.springeropen.com/articles/10.1186/s40537-019-0217-0 Obtaining Data From Electronic Health Records - Tools and ...
https://www.ncbi.nlm.nih.gov/books/NBK551878/

質問 # 48
A data architect is using an Include statement to load the collection of variables from a TextFiles folder connection into an app. The data architect needs to load the data and generate an error if it fails.
Which statement should the data architect use?

A. $<Include=lib://TextFiles/Variables.txt);
B. $(Must_Include=lib://TextFiles/Variables.txt);
C. (Must_Include=lib://TextFiies/Variables.txt);
D. (Includs=lib://TextFiles/Variables.txt);

正解：B

解説：
Explanation
The MustInclude statement provides an error if the include fails and is used when including files in Qlik Sense.
The other statements do not provide an error if the include fails.
qlik-sense-certification-exam-study-guide-en.pdf
https://www.qlik.com/us/-/media/files/training/global-us/qlik-sense-certification-exam-study-guide-en.pdf?la=en Talk to Experts Tuesday - Migrating from QlikView to Qlik Sense FAQ
https://community.qlik.com/t5/Support-Knowledge-Base/Talk-to-Experts-Tuesday-Migrating-from-QlikView-to Certifications & Qualifications | Qlik
https://www.qlik.com/us/services/training/certifications-and-qualifications The $(Must_Include) statement is used to load a file or a set of files and generate an error if the load fails. The
"Must_Include" function will stop the script execution if the file is not found or cannot be loaded. The correct syntax for using the "Must_Include" statement is $(Must_Include=lib://TextFiles/Variables.txt);

質問 # 49
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 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
B. 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
C. 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
D. 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

正解：A

解説：
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.

質問 # 50

A Human Resources Director needs an app to analyze organizational structure. The Directory is particularly interested in the longest levels of line management.
Two table loads are required. Both use the same basic structure.

Which two table load prefixes are needed?

A. *HierarchyLevel(EmployeelD, ManagerlD Name Level, '/', Structure)
*HierarchyBelongsTo(EmployeelD, ManagerlD, Name ManagerlD,Manager, Depth)
B. * Hierarchy(EmployeelD. ManagerlD Name, Manager Name, Structure V,Depth)
* HierarchyLevelEmployeelD, ManagerlD, Name, Manager, Name, Structure, Depth '/')
C. * HierarchyBelongs.To(EmployeeID, ManagerlD, Name ManagerlD, Manager, Depth)
D. * HierarchyBelongsTo(ManagerlD, Manager, ManagerlD, ManagerlD, Manager Level)
* Hierarchy(EmployeelD, ManagerlD, Name. Manager Name, Structure '/' Depth)

正解：C

質問 # 51
Refer to the exhibit.

A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.
Which scripting function should the data architect use to meet this data modeling requirement?

A. IntervalMatch
B. Inner Join
C. ApplyMap
D. Peek

正解：C

解説：
Explanation
In this scenario, the data architect needs to track the history of order fulfillment centers on a per center, per location basis. This means that the data architect needs to match the historical order fulfillment center data with the current order fulfillment center data, based on the center and location.
The ApplyMap function allows you to create a mapping between the data in one table and the data in another table, based on a common field. The data architect can use ApplyMap to create a mapping between the historical order fulfillment center data and the current order fulfillment center data, based on the center and location fields.

質問 # 52
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 section access to restrict sales manager access by region
B. Create an app for each sales manager with Qlik GeoAnalytics
C. Use section access and include aservice account in the table
D. Use On-Demand App Generation (ODAG) and section access

正解：A

質問 # 53
Refer to the exhibits.

While debugging an app, a developer loads data from an application layer QVD file.
In the process of separating a concatenated key into two parts, some split results are missing data What should the data architect do?

A. In the SUBFIELD function, replace the '_' with a '|' or '_' character.
While debugging an app, a developer loads data from an application layer QVD file.
In theprocess of separating a concatenated key into two parts, some split results are missing data What should the data architect do?
B. In the SUBFIELDfunction, replace the '- with a '|' or '-' character
C. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
D. Utilize a combination of LEFT(), MID(), and RIGHT() functions to capture the key components
E. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
F. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
G. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
H. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values

正解：B

質問 # 54
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. ODAG
B. In-memory
C. QVDs
D. Loop and Reduce

正解：C

解説：
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.

質問 # 55

A data architect is creating an app using three tables. After executing thescript, a warning displays Which two steps should the data architect do to resolve this warning? (Select two.)

A. insert "Join (ProductDetails)" in front of the Load statement in line 24 to combineProductPriceList with ProductDetails
B. Move the preceding Load statement in line 10 between table name (line 23) and Load statement (line
24).
C. Remove the rename statement (line 24) in the ProductPriceList table leaving the Product field name as is.
D. Rename the Category field in theProductPriceLis table to PnceCategory (line 24).

正解：D

質問 # 56
A data architect builds a data model for a large user group. Some sheets will be published, and the app will allow users to create their own visualizations and analyze data. Some fields must NOT appear in any field list.
How should a data architect meet these requirements?

A. Use HidePrefix variable
B. Add fields to master items
C. Use security rules
D. Use HideField variable

正解：C

解説：
Explanation
The best way for a data architect to meet the requirements of not allowing some fields to appear in any field list is to use security rules. Security rules can be used to restrict access to certain fields, which will ensure that they don't appear in any field list or visualization. Additionally, security rules can also be used to restrict access to certain data models, ensuring that only users with the right permissions can view and analyze the data.
Row-level security (RLS) with Power BI - Power BI | Microsoft Learn
https://learn.microsoft.com/en-us/power-bi/enterprise/service-admin-rls What Is Data Visualization? Definition & Examples | Tableau
https://www.tableau.com/learn/articles/data-visualization
80+ Top Power BI Interview Questions and Answers [Updated 2023]
https://www.edureka.co/blog/interview-questions/power-bi-interview-questions/

質問 # 57
......

Qlik QSDA2022 認定試験は、Qlik Sense データアーキテクチャにおける専門知識を証明したい個人にとって絶好の機会です。また、この試験は、Qlik Sense でデータモデルを設計および管理する必要なスキルを持つ従業員を組織が確保するための優れた方法でもあります。この認定試験に合格することで、Qlik Sense データアーキテクチャにおける熟練度と、専門的な成長への取り組みを証明することができ、就職市場での競争力を高めることができます。

2023年最新のQSDA2022テスト解説（更新されたのは78問があります)：https://www.goshiken.com/Qlik/QSDA2022-mondaishu.html

信頼され続けるQSDA2022試験のコツがあるPDF試験材料：https://drive.google.com/open?id=1_9eATJllpC1v_Q5W6NOHa_lkjKDlHxye

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