Blog

Olivia Parker Olivia Parker

0 Course Enrolled • 0 Course Completed

Biography

Latest QSDA2024 Test Vce & QSDA2024 Best Vce

Qlik QSDA2024 Practice Material is from our company which made these QSDA2024 practice materials with accountability. And QSDA2024 Training Materials are efficient products. What is more, Qlik QSDA2024 Exam Prep is appropriate and respectable practice material.

We have always set great store by superior after sale service, since we all tend to take responsibility for our customers who decide to choose our QSDA2024 training materials. We pride ourselves on our industry-leading standards of customer care. Our worldwide after sale staffs will provide the most considerate after-sale service for you in twenty four hours a day, seven days a week, that is to say, no matter you are or whenever it is, as long as you have any question about our QSDA2024 Exam Torrent or about the exam or even about the related certification，you can feel free to contact our after sale service staffs who will always waiting for you on the internet.

>> Latest QSDA2024 Test Vce <<

How Can Qlik QSDA2024 Exam Questions Help You in Exam Preparation?

The product ExamPrepAway provide with you is compiled by professionals elaborately and boosts varied versions which aimed to help you learn the pass your QSDA2024 exam by the method which is convenient for you. We check the update every day, and we can guarantee that you will get a free update service from the date of purchase. Once you have any questions and doubts about our QSDA2024 Exam Questions we will provide you with our customer service before or after the sale.

Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q31-Q36):

NEW QUESTION # 31
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. QlikView archival, source data architecture, load script, data model, business use case
B. User sessions, source data architecture, compatibility, data model, business use case
C. Application metadata, application theme, user sessions, load script, IT use case
D. Application size, application theme, storytelling, data model, IT use case

Answer: A

Explanation:
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.

NEW QUESTION # 32
Exhibit.

A large electronics company re-assigns sales people once per year from one Department to another.
SPID is the Salesperson ID; the SPID for each individual sales person Name remains constant. The Department for a SPID may change; each change is stored in the Dynamic Dimension data.
Four tables need to be linked correctly: a transaction table, a dynamic salesperson dimension, a static salesperson dimension, and a department dimension.
Which script prefix should the data architect use?

A. IntervalMatch
B. Merge
C. Semantic
D. Partial Reload

Answer: A

Explanation:
In the scenario described, the Dynamic Dimension data tracks changes in department assignments for salespeople over time. To correctly link the transaction data with the salesperson data and ensure that sales are associated with the correct department based on the date, an IntervalMatch function should be used.
IntervalMatchis designed to match discrete data (like transaction dates) with a range of dates. In this case, each salesperson's department assignment is valid over a period of time, and the IntervalMatch function can be used to link the transaction data with the correct department for each salesperson based on the transaction date.
* Option A (Merge):This option is incorrect as it refers to combining data sets, which doesn't address the need to handle the dynamic, date-based department assignments.
* Option B (IntervalMatch):This is the correct choice because it allows you to match each transaction with the correct department assignment based on the ChangeDate in the Dynamic Dimension data.
* Option C (Partial Reload):This refers to reloading only part of the data, which is not relevant to linking tables based on date ranges.
* Option D (Semantic):This option is not applicable as it refers to a broader approach to data modeling and interpretation rather than specifically linking data based on time intervals.
Thus,IntervalMatchis the correct method for linking the transaction data with the dynamic salesperson dimension, ensuring that each transaction is associated with the correct department based on the historical assignment data.

NEW QUESTION # 33
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 aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
B. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
C. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data
D. Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use

Answer: A

Explanation:
In this scenario, the company generates 1 GB of ticketing data daily, accumulating up to 720 GB over two years. Business users mainly require trend analysis for the past two years and rarely need to access the transaction-level data. The objective is to load only the necessary data while ensuring the system remains performant.
Option Cis the optimal choice for the following reasons:
* Efficiency in Data Handling:
* By loading only aggregated data for the two years, the app remains lean, ensuring faster load times and better performance when users interact with the dashboard. Aggregated data is sufficient for analyzing trends, which is the primary use case mentioned.
* On-Demand App Generation (ODAG):
* ODAG is a feature in Qlik Sense designed for scenarios like this one. It allows users to generate a smaller, transaction-level dataset on demand. Since users rarely need to drill down into transaction-level data, ODAG is a perfect fit. It lets users load detailed data for specific dates only when needed, thus saving resources and keeping the main application lightweight.
* Performance Optimization:
* Loading only aggregated data ensures that the application is optimized for performance. Users can analyze trends without the overhead of transaction-level details, and when they need more detailed data, ODAG allows for targeted loading of that data.
References:
* Qlik Sense Best Practices: Using ODAG is recommended when dealing with large datasets where full transaction data isn't frequently needed but should still be accessible.
* Qlik Documentation on ODAG: ODAG helps in maintaining a balance between performance and data availability by providing a method to load only the necessary details on demand.

NEW QUESTION # 34

Refer to the exhibit.
A data architect needs to create a data model for a new app. Users must be able to see:
* Total sales for each customer
* Total sales for a given state
* Customers that have not had any sales
* Names of salesperson and regional account managers
* Total number of sales by date
Which steps should the data architect perform to meet these requirements?
Which steps should the data architect perform to meet these requirements?

A. 1. Load the Customers table and alias the CustID field as CustomerlD
2. Use a Mapping Load for the Employees table
3. Load the Sales table and use ApplyMap to get the names for SalesPersonID and RegionalAcctMgrlD
B. 1. Load the Customers table and alias the CustID field as CustomerlD
2. Load the Employees table
3. Load the Sales table and alias the SalesPersonID and RegionalAcctMgrlD fields as EmployeelD
C. 1. Use a Mapping Load for the Employees table
2. Load the Sales table and use ApplyMap to get the names for SalesPersonID and RegionalAcctMgrlD
3. Use a Left Join Load to add the customer details for the Sales table
D. 1. Load the Sales table
2. Load the Customers table
3. Load the Employees table twice; name it and alias the EmployeelD field appropriately each time

Answer: D

Explanation:
In the provided scenario, the data architect needs to create a data model that supports various analyses, including total sales for each customer, total sales by state, identifying customers with no sales, and displaying the names of salespersons and regional account managers.
Here's whyOption Cis the correct choice:
* Loading the Sales Table:The Sales table contains key information related to sales transactions, including SaleID, CustomerID, Amount, SaleDate, SalesPersonID, and RegionalAcctMgrID. This table must be loaded first as it will be central to the analysis.
* Loading the Customers Table:The Customers table includes customer details such as CustID, CustName, Address, City, State, and Zip. Loading this table and linking it to the Sales table via the CustomerID field allows you to perform analyses such as total sales per customer and total sales by state. Importantly, loading the customers separately will also allow the identification of customers without any sales.
* Loading the Employees Table Twice:The Employees table must be loaded twice because it is used to look up two different roles in the sales process: the SalesPersonID and the RegionalAcctMgrID. When loading the table twice:
* The first instance of the Employees table will be used to map the SalesPersonID to EmployeeName.
* The second instance will be used to map the RegionalAcctMgrID to EmployeeName.
* Aliasing the EmployeeID field appropriately in each instance is crucial to prevent creating synthetic keys and to ensure the correct association with the roles in the sales process.
This approach ensures that the data model will correctly support all the required analyses, including identifying customers without sales, which is crucial for meeting the business requirements.
* Option AandOption Bpropose using a mapping load and ApplyMap, which can complicate the model and does not directly address all the business requirements.
* Option Dinvolves aliasing fields in a way that could create unnecessary complexity and might not accurately reflect the relationships in the data.
Thus,Option Cis the correct answer as it best meets the requirements while maintaining a clear and functional data model.

NEW QUESTION # 35
A data architect needs to acquire social media data for the past 10 years. The data architect needs to track all changes made to the source data, include all relevant fields, and reload the application four times a day.
What information does the data architect need?

A. A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day
B. A field with ModificationTime, a primary key field to sort out updated records, insert and append records, update records
C. A field with social media source, a set of key fields to sort out updated records, configure reload task to load four times a day
D. A field with ModificationTime, a primary key field to sort out updated records, insert and update records, remove records

Answer: D

Explanation:
The scenario describes a need to track social media data over the past 10 years, capturing all changes (inserts, updates, deletes) while reloading the data four times a day.
To manage this:
* ModificationTime: This field is essential for tracking changes over time. It indicates when a record was last modified, allowing the script to determine whether it needs to insert, update, or delete records.
* Primary Key Field: A primary key is crucial for uniquely identifying records. It enables the script to match records in the source with those already loaded, facilitating updates and deletions.
* Insert and Update Records: The script should handle both inserting new records and updating existing ones based on the ModificationTime.
* Remove Records: If records are deleted in the source, they should also be removed in the Qlik Sense data model to maintain consistency.
This approach ensures that all changes in the social media data are accurately captured and reflected in the Qlik Sense application.

NEW QUESTION # 36
......

Windows computers support the desktop-based Qlik QSDA2024 exam simulation software. These tests create scenarios that are similar to the actual QSDA2024 examination. By sitting in these environments, you will be able to cope with exam anxiety. As a result, you will appear in the QSDA2024 final test confidently.

QSDA2024 Best Vce: https://www.examprepaway.com/Qlik/braindumps.QSDA2024.ete.file.html

QSDA2024 test answers and test questions are written and verified according to the latest knowledge points and current certification exam information, Qlik Latest QSDA2024 Test Vce If your company applies for a project from this big company, a useful certification will be a great advantage for the project manager position, Qlik Latest QSDA2024 Test Vce I have just made a purchase.

Deploying social business strategies that will Reliable QSDA2024 Exam Answers help facilitate the change from brand to media company, In the lucky case, there is someagreement between the two parties, and fashion Reliable QSDA2024 Exam Answers and power issue certificates to spiritual creators who have achieved amazing achievements.

QSDA2024 Test Engine & QSDA2024 Exam Torrent & QSDA2024 Premium VCE File

QSDA2024 Test Answers and test questions are written and verified according to the latest knowledge points and current certification exam information, If your company applies for a project from this QSDA2024 big company, a useful certification will be a great advantage for the project manager position.

I have just made a purchase, There will be surprise waiting for you, As a Reliable QSDA2024 Exam Answers candidate for the Qlik Sense Data Architect Certification Exam - 2024 certification, you should insist on and never give up for a higher pursue no matter how difficult it is to conquer.

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

Olivia Parker Olivia Parker

Biography

COOKIE NOTICE