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Qlik Sense Data Architect Certification Exam - 2022 Sample Questions (Q45-Q50):
NEW QUESTION # 45
Refer to the exhibit.
A data architect loads sales data and creates a table which shows only customers who made purchases in 2018 and 2019. The data architect applies the following set analysis expression on the sales measure.
Count<{<Year={'2 018'}, CustomerID=P({<Year={'2019*}>})>} Customer ID)
Which option shows the resulting table after the expression is applied?
A)
B)
C)
D)
- A. Option A
- B. Option D
- C. Option B
- D. Option C
Answer: B
NEW QUESTION # 46
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, Sales, and Budget records for that month
- B. Customer and Sales records for that month, but missing values for Budget
- C. All Customers, all Budget and all Sales records
- D. Customer and Budget records for that month, but missing values for Sales
Answer: A
NEW QUESTION # 47
A data architect plans to build an app that contains geographically diverse data that must be specific to user run-time selections. The source contains transactional data. The app must have minimal impact on already limited server resources.
Which approach should the data architect use?
- A. QVDs
- B. ODAG
- C. Loop and Reduce
- D. In-memory
Answer: A
Explanation:
Explanation
Using QVDs is the best approach for this scenario, as it allows the data to be stored in a highly compressed format, which will have minimal impact on server resources. Additionally, QVDs can be loaded quickly, which allows for faster access to the data based on user run-time selections. The other options, Loop and Reduce, In-memory, and ODAG, are not valid strategies for this scenario.
NEW QUESTION # 48
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. NullasNull *;
Set NullValues = 'Missing Value'; - B. NullAsValue*; Set NullValues = 'Missing Value';
- C. NullAsValue*;
Set NullValue = 'Missing Value'; - D. NullasNull *;
Set NullValue = 'Missing Value';
Answer: B
Explanation:
Explanation
This syntax will set all null values to "Missing Value" in the data sources. The other options are not valid syntax and will not achieve the desired result.
NEW QUESTION # 49
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. Change the sort order by date
3. Create a composite key out of the forecast and region 4 Connect to the existing data model - B. 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 - C. 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 - D. 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
Answer: B,C
Explanation:
Explanation
Option B involves loading the Excel spreadsheet using the data load editor and then using the Crosstable function to unpivot the table, creating a composite key out of the date and region, and connecting the new table to the existing data model. Option D involves loading the Excel spreadsheet using the data manager, using the Unpivot function, creating a composite key from the date and region, and connecting the new table to the existing data model.
NEW QUESTION # 50
......
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