QSDA2024 NEW DUMPS BOOK & EXAM QSDA2024 PRACTICE

QSDA2024 New Dumps Book & Exam QSDA2024 Practice

QSDA2024 New Dumps Book & Exam QSDA2024 Practice

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Tags: QSDA2024 New Dumps Book, Exam QSDA2024 Practice, Reliable QSDA2024 Test Answers, QSDA2024 Valid Exam Pass4sure, New QSDA2024 Exam Price

Nowadays everyone is interested in the field of Qlik because it is growing rapidly day by day. The QSDA2024 credential is designed to validate the expertise of candidates. But most of the students are confused about the right preparation material for Qlik QSDA2024 Exam Dumps and they couldn't find real Qlik Sense Data Architect Certification Exam - 2024 (QSDA2024) exam questions so that they can pass QSDA2024 certification exam in a short time with good grades.

Qlik QSDA2024 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
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 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 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
  • 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.

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Qlik Sense Data Architect Certification Exam - 2024 Sample Questions (Q17-Q22):

NEW QUESTION # 17
A data architect in the Enterprise Architecture team wants to develop a new application summarizing Qlik Sense usage by all company employees. They also want to gather usage metrics for other systems.
Who should the data architect contact to be granted access to the data?

  • A. IT Security Analyst, Qlik Sense Developers, Solutions Architect
  • B. IT Security Vice President, Human Resources Analyst, Qlik Sense Developers
  • C. IT Security Manager, Qlik Sense Account Manager, Enterprise Architecture Director
  • D. IT Security Director, Human Resources Director, Qlik Sense Administrator

Answer: D

Explanation:
When developing an application that summarizes Qlik Sense usage by company employees and also gathers usage metrics for other systems, the data architect needs to ensure they have the correct access to sensitive data. The following roles are crucial:
* IT Security Director:Responsible for the security of IT systems and data. They would ensure that the data architect has the appropriate permissions to access usage metrics and other system data securely.
* Human Resources Director:They manage employee-related data, including employment records that might be necessary for matching employee IDs with usage metrics. This access is crucial for correlating usage data with specific employees.
* Qlik Sense Administrator:This individual has administrative rights over the Qlik Sense environment and can grant access to usage data within Qlik Sense, ensuring that the architect has the necessary data to analyze.
Given the need to securely and correctly handle sensitive data, including employee usage metrics across multiple systems,Option Aincludes all the appropriate contacts for access and permissions.


NEW QUESTION # 18
Exhibit.

Refer to the exhibit.
A major healthcare organization requests a new app with the following requirements:
* Users can filter AdmissionDate and DischargeDate by all fields in the Master Calendar table
* Use an existing QVD file, which includes dates 20 years into the future
* Users should not be able to filter on dates that have no associated encounters Which approach should the data architect take to meet these requirements?

  • A. 1. Load the Encounters table
    2. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Admission Date
    3. Perform a Left Join Load on the Encounters table to the master calendar and alias the date fields appropriately for the Discharge Date
  • B. 1. Load the master calendar
    2. Create two mapping tables called AdmissionCalendar and DischargeCalendar from the Resident master calendar thatfeas all fields appropriately named
    3. Load the Encounters table and use ApplyMap for the AdmissionDate and DischargeDate appropriately
  • C. 1. Load the Master Calendar and Encounters tables
    2. Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Admission Date
    3. Perform a Join Load on the Encounters table to the Resident master calendar and alias the date fields appropriately for the Discharge Date
  • D. 1. Load the master calendar as AdmissionCalendar and alias the fields to reflect they are for Admission
    2. Load the master calendar as DischargeCalendar and alias the fields to reflect they are for Discharge
    3. Load the Encounters table

Answer: D

Explanation:
In the scenario presented, a major healthcare organization needs an app that allows users to filter AdmissionDate and DischargeDate by all fields in the Master Calendar table, while also ensuring that users cannot filter on dates that have no associated encounters.
To meet these requirements, the most appropriate approach is to:
* Load the Master Calendar twice,once as AdmissionCalendar and once as DischargeCalendar. Each instance should have its fields appropriately aliased to reflect whether they pertain to Admission or Discharge dates.
* Load the Encounters tableas usual, but now you have two separate calendar tables that can be linked to the appropriate date fields (AdmissionDate and DischargeDate) in the Encounters table.
This approach ensures:
* Users can filter both AdmissionDate and DischargeDateindependently using the fields in their respective calendar tables.
* Only relevant datesassociated with actual encounters will be available for filtering, as the calendars are linked specifically to the AdmissionDate and DischargeDate fields.
* Efficiency and clarityin the data model, as the fields from the Master Calendar are distinctly assigned to either Admission or Discharge, avoiding any confusion or incorrect filtering.
This method avoids unnecessary complexity and directly meets the healthcare organization's requirements in a straightforward and scalable manner.


NEW QUESTION # 19
A Chief Information Officer has hired Qlik to enhance the organization's inventory analytics. In the initial meeting, the client's focus was determined to be forecasting inventory levels.
Which stakeholder should be consulted first when gathering requirements?

  • A. SQL Developer
  • B. Chief Information Officer
  • C. Vice President of Marketing
  • D. Product Buyer

Answer: D

Explanation:
In this scenario, the focus of the project is to enhance inventory analytics, specifically targeting forecasting inventory levels. The primary goal is to understand the factors influencing inventory management and to build a model that helps in predicting future inventory needs.
Option A: Product Buyeris the correct stakeholder to consult first.
Here's why:
* Direct Involvement in Inventory Management:
* The Product Buyer is typically responsible for making decisions related to purchasing and maintaining inventory levels. They have a deep understanding of the factors that influence inventory needs, such as lead times, supplier reliability, demand forecasting, and purchasing cycles.
* Knowledge of Inventory Requirements:
* Since the project's primary focus is forecasting inventory levels, the Product Buyer will provide crucial insights into the variables that affect inventory and the data needed for accurate forecasting. They can guide what historical data is essential and what external factors might need to be considered in the forecasting model.
* Alignment with Business Objectives:
* By consulting the Product Buyer, the project can ensure that the inventory forecasting models align with the company's inventory management objectives, avoiding overstocking or understocking, and thus optimizing costs.
References:
* Qlik Project Management Best Practices: In analytics projects, particularly those focused on specific operational areas like inventory management, consulting the stakeholders who are closest to the operational data and decision-making processes ensures that the solution will be relevant and effective.


NEW QUESTION # 20
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 social media source, a set of key fields to sort out updated 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 ModificationTime, a primary key field to sort out updated records, insert and update records, remove records
  • D. A field with record creation time, a secondary key field to remove deleted records, configure reload task to load four times a day

Answer: C

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 # 21

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. 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
  • 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. 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
  • 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 # 22
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