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Qlik QSDA2022 Exam Questions
- Topic 1: Determine dimensionality and need for slowly changing dimensionality support/ Determine primary requirements with business users
- Topic 2: Determine the correct method to perform script organization and cleansing/ Given a scenario, determine the appropriate method to validate and test data
- Topic 3: Given a scenario, identify the appropriate type of data model/ Given a scenario, determine metrics and levels of granularity and aggregation
- Topic 4: Given a scenario, determine the appropriate level of security/ Analyze and evaluate null and blank data handling required to support filtering
- Topic 5: Given a scenario, determine the data sources and connectors needed/ Analyze relevant variables to build scripts for incremental loading for extract layer
- Topic 6: Determine the correct method to document Data Load scripts/ Given a scenario, determine the measures and attributes from each data source
- Topic 7: Determine the correct method to optimize the data model for Qlik Sense/ Given a scenario, determine the appropriate method to validate and test scripts
- Topic 8: Determine the appropriate method to create connections for data sources/ Determine the correct method to implement data structures efficiently
- Topic 9: Determine the correct method for date handling techniques/ Determine the correct method to build data content based on requirements
Free Qlik QSDA2022 Exam Actual Questions
Note: Premium Questions for QSDA2022 were last updated On 28-08-2024 (see below)
Refer to the exhibit.
An existing app on Qlik Sense Enterprise is duplicated and transferred to a data architect to add some additional data When trying to manually reload the original script, the data architect receives an error
What should be done to make sure the script runs correctly?
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?
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.
Refer to the exhibit.
A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.
Which scripting function should the data architect use to meet this data modeling requirement?
In this scenario, the data architect needs to track the history of order fulfillment centers on a per center, per location basis. This means that the data architect needs to match the historical order fulfillment center data with the current order fulfillment center data, based on the center and location.
The ApplyMap function allows you to create a mapping between the data in one table and the data in another table, based on a common field. The data architect can use ApplyMap to create a mapping between the historical order fulfillment center data and the current order fulfillment center data, based on the center and location fields.
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?
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.
Refer to the exhibit.
A data architect has a data model that includes historical order fulfillment centers. The order fulfillment centers occasionally changed location. The history of order fulfillment must be tracked on a per center, per location basis.
Which scripting function should the data architect use to meet this data modeling requirement?
In this scenario, the data architect needs to track the history of order fulfillment centers on a per center, per location basis. This means that the data architect needs to match the historical order fulfillment center data with the current order fulfillment center data, based on the center and location.
The ApplyMap function allows you to create a mapping between the data in one table and the data in another table, based on a common field. The data architect can use ApplyMap to create a mapping between the historical order fulfillment center data and the current order fulfillment center data, based on the center and location fields.
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