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NEW QUESTION 31
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 containing Customer, Month. Sales, and Budget columns.
What does the data architect see when selecting a month?

  • A. Customer and Budget records for that month, but missing values for Sales
  • B. Customer and Sales records for that month, but missing values for Budget
  • C. Customer, Sales, and Budget records for that month
  • D. All Customers, all Budget and all Sales records

Answer: C

 

NEW QUESTION 32
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. Utilize a combination of LEFT(), MID(), and RIGHTO functions to capture the key components
  • C. Wrap an IF() function around the SUBFIELDQ functions to check and adapt to null values character
  • D. Wrap an IF() function around the SUBFIELD() functions to check and adapt to null values
  • E. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  • F. Instruct the developer of the QVD file to correct the generation of the ConcatKeyAlpha field
  • G. In the SUBFIELDfunction, replace the ‘- with a ‘|’ or ‘-‘ character
  • H. Utilize a combination of LEFT(), MID(), and RIGHT() functions to capture the key components

Answer: G

 

NEW QUESTION 33
A company generates 1 GB of ticketing data daily. The data is stored in multipletables 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 ofdata in an aggregated app and create a separate transaction app for occasional use
  • B. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
  • C. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data
  • D. Load only 2 years of data and use best practices in scripting and visualization to calculate and display aggregated data

Answer: C

 

NEW QUESTION 34
A data architect needs to arrange data to create an app with a map where multiple location points consolidate into hexagonal areas based on postal codes The areas will be color coded based on the number of vendors in thelocation.
Which GeoAnalytics operation should the data architect use?

  • A. Simplify
  • B. Intersect
  • C. Binning
  • D. AddressLookup

Answer: C

Explanation:
Explanation
Binning is a GeoAnalytics operation that can be used to arrange data into hexagonal areas based on postal codes. The areascan then be color coded based on the number of vendors in the location.Source: Qlik Binning is a GeoAnalytics operation that allows data points to be grouped into hexagonal areas based on a geographic field, such as postal codes. The data architect can use binning to group the location points by postal code and then color code the resulting hexagonal areas based on the number of vendors in each location.
This operation is useful for visualizing spatial data and identifying patterns or trends in the data.

 

NEW QUESTION 35
A data architect needs to create an app that combines employee data from the Sales system and the Human Resources (HR) system.
These systems identify employees differently Employees in the HR system are identified with an alpha-numeric key Employees in the Sales system are identified using an integer key.
The Human Resources manager creates a table that maps these keys to another, called Associations.
The resultant data model must meet the following requirements:
* Associations must be valid
* The model must be optimized for performance
* The option must support multiple tables added
Which solution should the data architect use to meet these requirements?

  • A. MAPSUBSTRING ( ‘Associations’ ,EMployeekey) As Employeekey;
  • B. RENAME FIELDS USING Associations;
  • C. MAP EmloyeeKey USING Associations;
  • D. APPLYMAP ( ‘Associations , EmployeeKey ) as Employeekey;

Answer: C

Explanation:
Explanation
The MAP function maps the EmployeeKey in the Sales system to the EmployeeKey in the HR system using the Associations table. This allows the data architect to join the data from the Sales system and the HR system using the same key, ensuring that the associations are valid.
Using the MAP function also optimizes the performance of the data model as it eliminates the need for multiple joins between the data from the Sales and HR systems.
This solution also supports multiple tables added, as the MAP function can be applied to any table that needs to be joined with the HR system data.

 

NEW QUESTION 36
……

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