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Qlik Sense Data Architect Certification Exam - June 2018 Release Sample Questions:

1. Refer to the exhibit.

A fashion retail company needs to analyze data about product inventory. The company needs to filter by attributes by such as color, material, and size.
Which strategy should a data architect use to meet these requirements?

A) Turn data rows into fields by using a generic load
B) Use the hierarchy load statement to expand hierarchy levels
C) Loop through the table to transpose fields
D) Use crosstable in the load statement to unpivot

2. A company builds several apps to help analyze product performance
* Each app is for a specific business area: Marketing, Sales, or Production
* Users must see updated data daily
* Data is taken from the enterprise data warehouse (EDW)
* Change requests for the data warehouse take approximately 6 weeks
* One of the dimensions used across all of the apps is product group
* There are six different product groups
To provide users with an intuitive way of working with data, the colors that represent the product groups must be the same in all apps The RGB color codes for each product group will be provided to the data architect by e-mail How should the data architect add consistent colors for the product group dimension that are easy to maintain?

A) Add the color codes using expressions
B) Add the color codes using a text file
C) Add the color codes in the EDW
D) Add the color codes using variables

3. A healthcare organization needs an app to track patient encounters, patient lab orders, and patient medications.
* Encounters, lab orders, and medication data are maintained in three separate tables linked by PatientID
* PatientID values in all three tables are completely accurate
* Patients may have encounters without lab orders or medications
The data architect needs to make sure that the count of patient lab orders is correct. Which method should the data architect to meet this requirement?

A) Load all three tables and use Count{Distinct PatientID)
B) Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(LabPatientlD)
C) Load all three tables and use Count(PatientlD)
D) Load all three tables, create a copy of PatientID in the lab orders table as LabPatientID, and use Count(Distinct LabPatientID)

4. Refer to the exhibit.

In the data load editor, the tables are loaded in the following sequence;
1 OrderHeader
2. OrderDetails
3. Products
The three tables CANNOT be modified as all fields are required.
A data architect must create a Cost of Goods Sold (COGS) field calculated as UnitCost * Quantity. Some products may NOT have UnitCost so the COGS value must be zero for these products.
How should the data architect meet this requirement?

A) 1. Load the Products table as the first table
2. Create a new field in the OrderDetails table: Quantity * isNull (unitcost) as cogs
B) 1 Join the Products and OrderDetails tables on ProductID
2. Create a new field in the OrderDetails table: Replace (Null, o, unitcost) * Quantity as cogs
C) 1. Create a mapping load table as the first table from the Products table
2. Create a new field to the OrderDetails table: toplyMap('unitcos^Map', ProductID, 0) * Quantity as cogs
D) 1. Perform a preceding load on the Products table
2. Create a new field in the OrderDetails table, if (Unitcost = nulio or *', 0) * Quantity as cogs

5. Refer to the exhibit.

Each order can-have multiple products The data architect needs to make sure the Amount can be analyzed by Order Type and Product Category.
The Order Number field data always contains the Order Type in the first three characters Product. Product Category, and Sales Channel data are available in an Excel spreadsheet called "Categories" in the file PaperProducts xlsx.
Which two ways can the data architect use to make additions to the existing script and meet the requirements?
(Choose two.)
A)

B)

C)

D)

A) Option C
B) Option A
C) Option B
D) Option D

Solutions: