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Questions # 21:

Question # 21

On executing a load script of an app, the country field needs to be normalized. The developer uses a mapping table to address the issue.

What should the data architect do?

Options:

A.

Use a LEFT JOIN instead of the APPLYMAP

B.

Use LOAD DISTINCT on the mapping table

C.

Create two different mapping tables

D.

Review the values of the source mapping table

Questions # 22:

Refer to the exhibit.

Question # 22

A data architect builds a simple data model to show the relationship between students and exams. The data is loaded. Every StudentID in the Exams table should be found in the Students table. Some students have NOT taken an exam.

The data architect selects the field "StudentID" from the Students table and sees the following:

Question # 22

A data architect needs to fix this anomaly.

What should the data architect do to ensure data integrity?

Options:

A.

Update the Students table and add 16.7% of the missing records

B.

Remove records from the Exams table where StudentID is null

C.

Update the Exams table and add 33.4% of the missing records

D.

In the LOAD script, add DISTINCT before the Students and Exams tables

Questions # 23:

Refer to the exhibits.

Question # 23

Some business users created an app by using the Add data functionality and loading two Excel files Orders and Customers.

The app is used to analyze the number of orders by customer. When the users create a bar chart to review the figures, the data shown is incorrect.

What should the data architect do to resolve this issue?

Options:

A.

Open the data manager, split the Customers table, and associate both tables on CustomerlD field

B.

Open the data manager, split the Customers table, and JOIN Orders and Customers on the CustomerlD field

C.

Open the data load editor and use JOIN instead of concatenate to combine Orders and Customers by CustomerlD

D.

Open the data load editor and apply a NOCONCATENATE function in the LOAD statement on the Orders table

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