QSDA2024최신시험 - QSDA2024최신시험최신덤프자료

Itexamdump는 응시자에게 있어서 시간이 정말 소중하다는 것을 잘 알고 있으므로 Qlik QSDA2024덤프를 자주 업데이트 하고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Qlik QSDA2024덤프를 마스터하고Qlik QSDA2024시험을 패스할수 있도록 하는 또 하나의 보장입니다.

Qlik QSDA2024 시험요강:

주제	소개
주제 1	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.
주제 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.
주제 3	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.
주제 4	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.
주제 5	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.

>> QSDA2024최신시험 <<

QSDA2024최신 시험 최신 덤프자료 & QSDA2024최신 업데이트 인증덤프자료

Itexamdump 에서는 Qlik QSDA2024 시험에 대비한 고품질 Qlik QSDA2024덤프를 제공해 드립니다. Qlik QSDA2024덤프는 IT 업계 종사자들에 있어서 아주 중요한 인증시험이자 인기 자격증을 취득할수 있는 필수과목입니다. Qlik QSDA2024시험을 합격하여 자격증을 취득하시면 취업하는데 가산점이 될수 있고 급여 인상이나 이직에도 많을 도움을 드릴수 있습니다.

최신 Qlik Certification QSDA2024 무료샘플문제 (Q12-Q17):

질문 # 12
A company's analytics team is migrating from QlikView to Qlik Sense. During the transition there is an opportunity to improve overall reporting.
Which set of criteria must the data architect consider while planning for the migration?

A. Application metadata, application theme, user sessions, load script, IT use case
B. Application size, application theme, storytelling, data model, IT use case
C. User sessions, source data architecture, compatibility, data model, business use case
D. QlikView archival, source data architecture, load script, data model, business use case

정답：D

설명：
During the transition from QlikView to Qlik Sense, the analytics team has the opportunity to improve the overall reporting. To ensure a smooth migration while optimizing the new environment, the data architect needs to consider several key factors.
Option Cis the best choice because it encompasses the essential aspects of a migration project:
* QlikView Archival:
* Archiving QlikView applications is crucial to ensure that historical data and applications are preserved and can be referenced if needed in the future. This step is important to maintain continuity and provide a fallback option if required during the transition.
* Source Data Architecture:
* Understanding the existing source data architecture is critical to ensure that the new Qlik Sense applications can seamlessly connect to the data sources. This also helps in identifying opportunities to optimize or re-architect the data pipelines for better performance in Qlik Sense.
* Load Script:
* The load script from QlikView might need to be revised or optimized for Qlik Sense. It's important to ensure that the script is compatible and takes advantage of Qlik Sense's capabilities, such as improved data handling, better inline transformations, and enhanced scripting functions.
* Data Model:
* Reviewing and possibly redesigning the data model is essential during the migration. Qlik Sense's associative engine allows for more flexibility, and this is an opportunity to improve the data model for better performance, scalability, and user experience.
* Business Use Case:
* Understanding the business use case is vital to ensure that the new Qlik Sense applications meet the business requirements effectively. This includes making sure that the new reports and dashboards are aligned with the business goals and provide the necessary insights.
References:
* Qlik Migration Guide: When migrating from QlikView to Qlik Sense, it's important to consider not just the technical aspects but also the business implications and opportunities for improvement.
* Qlik Documentation on Data Modeling and Load Script Optimization: These resources provide best practices on how to optimize load scripts and data models during migration to ensure smooth operation and better performance in Qlik Sense.

질문 # 13
A data architect needs to load large amounts of data from a database that is continuously updated.
* New records are added, and existing records get updated and deleted.
* Each record has a LastModified field.
* All existing records are exported into a QVD file.
* The data architect wants to load the records into Qlik Sense efficiently.
Which steps should the data architect take to meet these requirements?

A. 1. Load the existing data from the QVD.
2. Load new and updated data from the database. Concatenate with the table loaded from the QVD.
3. Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records.
B. 1. Load the new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
3. Load all records from the key field from the database and use an INNER JOIN on the previous table.
C. 1. Use a partial LOAD to load new and updated data from the database.
2. Load the existing data from the QVD without the updated rows that have just been loaded from the database and concatenate with the new and updated records.
3. Use the PEEK function to remove the deleted rows.
D. 1. Load the existing data from the QVD.
2. Load the new and updated data from the database without the rows that have just been loaded from the QVD and concatenate with data from the QVD.
3. Load all records from the key field from the database and use an INNER JOIN on the previous table.

정답：A

설명：
When dealing with a database that is continuously updated with new records, updates, and deletions, an efficient data load strategy is necessary to minimize the load time and keep the Qlik Sense data model up-to- date.
Explanation of Steps:
* Load the existing data from the QVD:
* This step retrieves the already loaded and processed data from a previous session. It acts as a base to which new or updated records will be added.
* Load new and updated data from the database. Concatenate with the table loaded from the QVD:
* The next step is to load only the new and updated records from the database. This minimizes the amount of data being loaded and focuses on just the changes.
* The new and updated records are then concatenated with the existing data from the QVD, creating a combined dataset that includes all relevant information.
* Create a separate table for the deleted rows and use a WHERE NOT EXISTS to remove these records:
* A separate table is created to handle deletions. The WHERE NOT EXISTS clause is used to identify and remove records from the combined dataset that have been deleted in the source database.

질문 # 14
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 data architect does not have rights to reload the app.
B. The service account running the task is not included in the Section Access table.
C. The ACCESS Column in the Section Access table has been added in lowercase.
D. A user name listed in the Section Access table is spelled incorrectly.

정답：B

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 # 15
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 use On-Demand App Generation (ODAG) for transaction data
C. Load only aggregated data for 2 years and apply filters on a sheet 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：B

질문 # 16
Exhibit.

Refer to the exhibit.
The data architect needs to build a model that contains Sales and Budget data for each customer. Some customers have Sales without a Budget, and other customers have a Budget with no Sales.
During loading, the data architect resolves a synthetic key by creating the composite key.
For validation, the data architect creates a table that contains Customer, Month, Sales, and Budget columns.
What will the data architect see when selecting a month?

A. Customer Names and Sales records for the selected month but with only non-null values in Budget column
B. Customer Names and Sales records for the selected month, Budgets column can contain null or non-null values
C. Customer Names and Budaets records for the selected month. Sales column can contain null or non-null values
D. All Customer Names for both Sales and Budget records for the selected month

정답：B

설명：
In the scenario where the data model is built with a composite key (keyYearMonthCustNo) to resolve synthetic keys, the following outcomes occur:
* Sales and Budget Data Integration:
* The composite key ensures that each combination of Year, Month, and Customer is uniquely represented in the combined Sales and Budget data.
* During data selection (e.g., when a specific month is selected), Qlik Sense will show all the customer names that have either Sales or Budget data associated with that month.
* Resulting Data View:
* For the selected month, customers with sales records will display their Sales data. However, if the corresponding Budget data is missing, the Budget column will contain null values.
* Similarly, if a customer has a Budget but no Sales data for the selected month, the Sales column will show null values.
Validation Outcome:When the data architect selects a month, they will see the following:
* Customer Names and Sales recordsfor the selected month, where the Sales column will have values and the Budget column may contain null or non-null values depending on the data availability.

질문 # 17
......

만약 아직도Qlik QSDA2024시험패스를 위하여 고군분투하고 있다면 바로 우리 Itexamdump를 선택함으로 여러분의 고민을 날려버릴 수 잇습니다, 우리 Itexamdump에서는 최고의 최신의 덤프자료를 제공 합으로 여러분을 도와Qlik QSDA2024인증자격증을 쉽게 취득할 수 있게 해드립니다. 만약Qlik QSDA2024인증시험으로 한층 업그레이드된 자신을 만나고 싶다면 우리Itexamdump선택을 후회하지 않을 것입니다, 우리Itexamdump과의 만남으로 여러분은 한번에 아주 간편하게Qlik QSDA2024시험을 패스하실 수 있으며,Qlik QSDA2024자격증으로 완벽한 스펙을 쌓으실 수 있습니다,

QSDA2024최신 시험 최신 덤프자료: https://www.itexamdump.com/QSDA2024.html

Kurt Clark Kurt Clark

Biography

QSDA2024최신시험 - QSDA2024최신시험최신덤프자료

Qlik QSDA2024 시험요강:

QSDA2024최신 시험 최신 덤프자료 & QSDA2024최신 업데이트 인증덤프자료

최신 Qlik Certification QSDA2024 무료샘플문제 (Q12-Q17):

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