Data Fusion — Learn free

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Questions 1–10 of 10

1. What is Data Fusion?
Question 1A. Compressing several datasets into a single archive fileB. Splitting one dataset into multiple smaller datasets for parallel processingC. Encrypting data from several systems with a single keyD. Pulling the same nature of data from multiple source systems and correlating it to produce one unified outputE. Migrating data from an old system to a new one
2. Which sales channels are given as examples of where data for a particular product can come from in Data Fusion?
Question 2A. POS (point of sales), shops and online storesB. Payroll, HR and finance systemsC. Email, calendars and contact listsD. Weather feeds, maps and traffic dataE. Backup servers and archive tapes
3. Apart from sales channels, where else might people be talking about a product in the Data Fusion example?
Question 3A. In tax returns and audit reportsB. In internal database logsC. On social media, in seminars and in webinarsD. In supplier invoicesE. In warehouse stock counts
4. Which teams are said to gain valuable information from fusing all the data about a product?
Question 4A. Legal and compliance teamsB. Database administratorsC. Network engineersD. Backup and recovery teamsE. Sales and marketing teams
5. How is the term Data Fusion characterised in relation to other data terms?
Question 5A. As a brand-new term with no equivalentB. As another term that overlaps with many terms already in placeC. As a term used only in Data ScienceD. As a legal term for data sharing agreementsE. As an outdated term no longer used
6. Which of these is NOT named as a data store that can be used for Data Fusion?
Question 6A. Data WarehouseB. Data MartC. Data LakehouseD. Data Vault / Business VaultE. Integration Hub
7. What is the intended result of Data Fusion?
Question 7A. Several separate reports, one per source systemB. One unified outputC. A compressed copy of each source systemD. A list of duplicate recordsE. A mirror of the source data
8. In Data Fusion, what does pulling the same nature of data mean?
Question 8A. Gathering data about the same subject, such as one product, from different source systemsB. Gathering only data stored in the same file formatC. Gathering data from a single system at different timesD. Gathering data that has exactly the same column namesE. Gathering data of the same size from each system
9. What is the key activity that Data Fusion performs on the data it pulls from multiple sources?
Question 9A. Deleting it after useB. Encrypting it at restC. Splitting it by regionD. Correlating the data elements with each otherE. Ranking it by file size
10. Which statement about Data Fusion and data stores is correct?
Question 10A. Data Fusion can only be achieved in a Data LakeB. Data Fusion requires a dedicated store separate from all existing onesC. Data Warehouses, Data Marts, Data Lakes, Lakehouses and Data Vaults can all be used for Data FusionD. Data Fusion cannot be done in a Data MartE. Data Fusion replaces the need for a Data Warehouse