Data Enrichment — Learn free

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Questions 1–10 of 10

1. How do Data Enrichment and Data Cleansing differ?
Question 1A. Data Enrichment enhances the data, whereas Data Cleansing corrects the dataB. Data Enrichment deletes data, whereas Data Cleansing adds dataC. Data Enrichment is done by IT only, whereas Data Cleansing is done by customersD. Data Enrichment applies to unstructured data only, whereas Data Cleansing applies to structured data onlyE. They are the same activity under different names
2. What is Data Enrichment?
Question 2A. Removing duplicate rows from a tableB. Splitting a dataset into training and testing subsetsC. Converting unstructured data into a structured formatD. Adding more data to a first-hand dataset from other internal or third-party sources to add contextE. Compressing data to reduce storage cost
3. On what must Data Enrichment depend, according to I Am Datapedia!?
Question 3A. The size of the databaseB. Business goals and business requirementsC. The availability of free dataD. The number of data scientistsE. The preferences of the IT department
4. A brand wants to open a new branch. Which kind of third-party data is given as an example of what it could buy?
Question 4A. Credit rating dataB. Employee salary dataC. Weather forecast dataD. Social media sentiment dataE. Geographical data
5. A bank wants to offer credit card deals. Which third-party data does the Data Enrichment example say it could buy?
Question 5A. Geographical boundary dataB. Postal code dataC. Credit rating dataD. Travel trend dataE. House value data
6. Which items belong to Demographic Data Enrichment?
Question 6A. Marital status, income level, family hierarchy, cars driven and house valueB. Latitude, longitude and postal codeC. Buying pattern and travelling trendsD. Table names and column typesE. Login times and password resets
7. Which type of Data Enrichment covers buying or spending patterns, interest behaviour and travelling trends?
Question 7A. Demographic Data EnrichmentB. Geographic Data EnrichmentC. Structural Data EnrichmentD. Behavioural Data EnrichmentE. Financial Data Enrichment
8. Why is Data Integration or Correlation listed as a top challenge in Data Enrichment?
Question 8A. Because third-party data is always freeB. Because there must be some linkage between internal and external datasets, or the data will not match and will not be worth storingC. Because external data must be deleted after one yearD. Because internal data is never accurateE. Because enrichment requires a new database engine
9. Which benefit of Data Enrichment comes from being able to purge huge internal datasets with the help of a small, precise external dataset?
Question 9A. Data AccuracyB. Targeted MarketingC. Enhanced Customer SegmentationD. Updated Communication ChannelE. Reduced Cost
10. Which of the following is NOT listed as a benefit of Data Enrichment?
Question 10A. Data AccuracyB. Targeted MarketingC. Eliminating the need for Data CleansingD. Better Customer ExperienceE. Increased Customer Relationship