Augmented Analytics — Learn free

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Questions 1–10 of 10

1. In the evolution towards Augmented Analytics, who defined data elements in the first approach, the classic semantic layer?
Question 1A. Business usersB. IT, for business easeC. Machine learning modelsD. External consultantsE. End customers
2. In the second approach preceding Augmented Analytics, who defines data elements?
Question 2A. IT folks onlyB. RegulatorsC. Business folks themselves, based on their own understandingD. Machine learning modelsE. Database vendors
3. What is Augmented Analytics based on?
Question 3A. Manual definition of data elements by ITB. Static requirements gathered once from the businessC. Spreadsheet-based reportingD. Automated Machine Learning that learns data elements as new datasets keep coming inE. Paper-based data dictionaries
4. What is the major difference between the first two approaches and Augmented Analytics?
Question 4A. The first two were derived by humans, with the risk of human error and bias; Augmented Analytics is automatedB. The first two used unstructured data; Augmented Analytics uses structured dataC. Augmented Analytics requires more manual effortD. The first two were fully automated; Augmented Analytics is manualE. There is no real difference
5. Why was the first approach, where IT implemented business requirements, described as static?
Question 5A. Because it used only static reportsB. Because business users could change it at willC. Because it ran on machine learningD. Because it was implemented in a data lakeE. Because requirements always came from business and were implemented by IT, so any change had a round-robin effect
6. How is the second approach, where business designs and implements data elements itself, characterised?
Question 6A. StaticB. FlexibleC. Very dynamicD. Fully automatedE. Obsolete
7. How is the third and latest approach, Augmented Analytics, characterised?
Question 7A. Static, with a round-robin effectB. Flexible but human-drivenC. Very dynamic, with ML models learning, designing, updating, upgrading and implementing the semantic layer automaticallyD. Manual and IT-controlledE. Limited to structured data
8. In Augmented Analytics, ML models define data elements based on what kind of requirements?
Question 8A. Fixed regulatory requirementsB. Requirements written by ITC. Requirements signed off by managementD. Open-ended requirementsE. Requirements limited to one department
9. Which of the following is NOT one of the three approaches to defining data elements described on the way to Augmented Analytics?
Question 9A. IT defines data elements for business easeB. Business folks define data elements themselvesC. Machine learning models define data elements automaticallyD. Regulators define data elements for all organisationsE. All three of the approaches named are correct
10. Why may human-defined semantic layers, whether by IT or business, be biased?
Question 10A. Because humans can be biased based on the knowledge and information they possess about the business domainB. Because humans always favour structured dataC. Because BI tools introduce biasD. Because humans cannot read metadataE. Because the business never shares requirements