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NEW QUESTION 37
A company generates 1 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 and use best practices in scripting and visualization to calculate and display aggregated data
• B. Load only 2 years of data in an aggregated app and create a separate transaction app for occasional use
• C. Load only aggregated data for 2 years and apply filters on a sheet for transaction data
• D. Load only aggregated data for 2 years and use On-Demand App Generation (ODAG) for transaction data

Answer: D

NEW QUESTION 38
A data architect of an organization that has implemented Qlik Sense on Windows 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 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
• B. 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
• C. 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
• D. 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.

Answer: D

NEW QUESTION 39
Refer to the exhibits.

A business analyst needs to see the currency conversion provided by a third party process, and only contains a record when the rate changes in a chart. The currency conversion rate data is An existing master calendar exists in the data model that contains a full set of dates.
Which technique should the data architect use to meet this requirement?

• A. OUTER JOIN the calendar with the currency conversion table
  ORDER BY the date and use the PEEK function to fill in blank values
• B. Use ITERNO and AUTOGENERATE to create a new calendar from max and min dates of the currency conversion table
• C. Utilize INTERVALMATCH to load the currency conversion rate between dates the conversation changed INNER JOIN the resultant table back into the master calendar
• D. Leverage a FOR loop between the start date and end date of the master calendar Use the MATCH function to add the currency conversion rates to the master calendar

Answer: A

NEW QUESTION 40
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