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A data architect executes the following script:

What will Field_1 contain after this script is executed?

A.

Abed, abed, ABCD

B.

abcd

C.

Abcd, abcd

D.

Abed, abed, ABCD, ABCDABCD

Refer to the exhibit.

A data architect is working with an app and creates some visualizations to check the data. Some visualizations show issues in the data set.

* The Sales by Country table shows a total OrderValue of 18,300 sales while the KPI shows a total OrderValue of 20,600.

* The Sales monthly trend bar chart does not work with the Month field.

Which two data issues should the data architect fix in the app? (Select two.)

A.

The Month field does not exist in the Orders table and needs to be incorporated in the table using he Calendar table.

B.

In the Orders table, some CustomerlD values are null because there are orders with no customer.

and needs to be incorporated in the table using the Calendar table, null because there are orders with no customer

C.

In the Orders table, some values in the CustomerlD field do not exist in the Customers table.

D.

The OrderDate field values in the Calendar table do not match with the values in the OrderDate field from the Orders table

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. 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

C.

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

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.

Refer to the exhibit.

A data architect executes the script.

What will be the value of the first row for Field_1?

A.

A

B.

D

C.

Null

D.

4

A data architect is developing an app that will generate QVDs for multiple business analysts. The field naming conventions on the source data are NOT business friendly. For every table loaded, multiple fields will require a name change.

An Excel file is maintained centrally that lists all source data field names and the appropriate names as they should appear in the QVDs

Which strategy should the data architect use to meet these requirements?

A.

Use the Rename function and a mapping load

B.

Create master items using business-friendly names

C.

Use the Alias function and a mapping load

D.

Load in the Excel file as a data island and use the Peek function

Refer to the exhibit.

A business department is forecasting revenue within an Excel spreadsheet.

A data architect needs to include this forecast into the existing data model, and without losing any data.

Which two sets of steps will meet these requirements? (Select two.)

A.

1. Load the Excel spreadsheet using the data load editor

2. Use the Unpivot function

3 Use the Sum function to group the forecast by date

4 Connect to the existing data model

B.

1. Load the Excel spreadsheet using the data load editor

2 Use the Crosstable function to unpivot the table

3 Create a composite key out of the date and region

4 Connect the new table to the data model

C.

1 Load the Excel spreadsheet using the data load editor

2. Change the sort order by date

3. Create a composite key out of the forecast and region 4 Connect to the existing data model

D.

1 Load the Excel spreadsheet into the data manager

2. Use the Unpivot function

3. Create a composite key from the date and region

4. Connect the new table to the data model

1 Load the Excel spreadsheet using the data manager

2 Rename the ForecastDate field to Date 3. Disable the Region

4 Connect to the existing data model

A data architect needs to efficiently prepare a data model for a meeting in an hour.

The data source to be used contains five date fields The app needs to display sales trends and compare the current year to date (CYTD) to last year to date (LYTD) The app is NOT going to be published It will only be used for this meeting and a single user's ad-hoc analysis.

What should the data architect do to meet these requirements?

A.

Use the data manager

B.

Load a calendar island

C.

Create a canonical calendar

D.

Create five master calendars

Refer to the exhibit.

A data architect needs to add a Budget table to the current Qlik Sense app. A Budget table with the fields Budget, CustomerlD, and ProductlD is loaded into the model. What will be created?

A.

A circular reference with one table disconnected

B.

A synthetic table with two synthetic keys

C.

A synthetic table with three synthetic keys

D.

A synthetic table and one synthetic key

Refer to the exhibit.

A data architect is loading two tables: Orders and Product. The Product table includes attributes and values for each ProductID such as Colour, Price, Category, and Description.

The business analyst can filter by the value of these attributes. For performance reasons, the Data Model will use two tables.

Which solution should the data architect apply in the Data Load Editor to build the ProductDetails table?

For performance reasons, the Data Model will use two tables a Load Editor to build the ProductDetails table?

A.

Use a For loop to concatenate all of the Products table and apply a Generic Load to the final concatenate table

B.

Use a For loop to apply a Generic load to the Product table and concatenate the generic tables together

C.

Use a Generic Load in the Product table and a For loop to left join each Generic table

A data architect needs to upload different data sources. To properly handle null values, the data architect decides to set all of these values to "Missing Value".

Which syntax should the data architect use?

A.

NullAsValue*; Set NullValues = 'Missing Value';

B.

NullasNull *;

Set NullValues = 'Missing Value';

C.

NullasNull *;

Set NullValue = 'Missing Value';

D.

NullAsValue*;

Set NullValue = 'Missing Value';