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Questions 1–10 of 10

1. What turns a datastore such as a Data Lake into a Data Swamp?
Question 1A. Missing Master Data, Metadata and Data LineageB. Storing semi-structured and unstructured data alongside structured dataC. Using HDFS rather than an operating-system file systemD. Having more than one domain own the dataE. Encrypting the data at rest
2. For which role is Data Swamp described as a famous nightmare?
Question 2A. The Chief Financial OfficerB. The Chief Data Officer (CDO)C. The Database AdministratorD. The Marketing ManagerE. The External Auditor
3. Which of the following is NOT a characteristic of a Data Swamp?
Question 3A. It is not organisedB. It is very hard to extract information fromC. It has clear lineage showing where every dataset came fromD. It has a lot of duplicationsE. It has a lot of data quality issues
4. What becomes no longer possible once a datastore turns into a Data Swamp?
Question 4A. Storing any further structured dataB. Connecting the datastore to the cloudC. Backing up the datastoreD. Retrieving and transforming dataE. Assigning a custodian to the datastore
5. On which disciplines must an organisation first focus if it is becoming a Data-Driven Organisation and wants to avoid a Data Swamp?
Question 5A. Data Visualisation, Dashboards and ReportingB. Cloud Migration, Streaming and Real-Time AnalyticsC. Machine Learning, AI and Predictive ModellingD. Row Storage, Columnar Storage and In-Memory ProcessingE. Data Governance, Metadata Management, Master Data Management and Data Lineage
6. How quickly can a Data Swamp develop?
Question 6A. Quickly, and it can create a serious problem for companies relying on the storage for analyticsB. Only after several decades of neglectC. Never, if the data is stored in a cloud serviceD. Only when an organisation has more than one Data LakeE. Only in the research sector
7. Why is a data-driven organisation with a Data Swamp described as a waste of time and effort?
Question 7A. Because storage costs exceed the value of the analyticsB. Because it has no clue what data it holds or where the data is residingC. Because regulators forbid analytics on unstructured dataD. Because all data must be re-entered manuallyE. Because it must appoint a separate CDO for each datastore
8. Which sectors are named as facing very serious threats from a Data Swamp?
Question 8A. Agriculture and tourismB. Retail and hospitalityC. Financial, telco and other sectorsD. Education and sportE. Construction and mining
9. What consequence can follow from not producing compliance reports, or producing them with wrong statistics, because of a Data Swamp?
Question 9A. A temporary suspension of cloud servicesB. Loss of the organisation's HDFS storageC. Automatic conversion of the swamp back into a Data LakeD. Fines of millions of dollars on the organisation and top management personnel being sackedE. A requirement to appoint an external CDO
10. How does a well-run Data Lake differ from a Data Swamp?
Question 10A. A Data Lake stores only structured data, while a Data Swamp stores unstructured dataB. A Data Lake is on-premises, while a Data Swamp is in the cloudC. A Data Lake is owned by IT, while a Data Swamp is owned by the businessD. A Data Lake has no duplicates because it uses a relational schemaE. A Data Lake stores structured, semi-structured and unstructured data in an organised manner with proper Master Data, Metadata and Data Lineage