Data Observability — Learn free

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Questions 1–10 of 10

1. What is Data Observability primarily about?
Question 1A. Observing every data pipeline, transformation and policy across the organisation and providing analysis for decision makingB. Encrypting data in transit between data storesC. Replacing data governance with automated monitoringD. Archiving old data pipelines that are no longer usedE. Designing the physical schema of a data warehouse
2. Under which discipline does Data Observability sit?
Question 2A. Master Data ManagementB. Network SecurityC. Business IntelligenceD. Metadata ManagementE. Data Warehousing
3. Which of the following is NOT one of the five pillars of Data Observability?
Question 3A. FreshnessB. LineageC. EncryptionD. VolumeE. Distribution
4. What kind of data does Data Observability mainly access in order to do its work?
Question 4A. Raw transactional data in production databasesB. Enterprise metadataC. Customer survey responsesD. Financial ledgersE. Backup tapes and archives
5. Why can a Data Observability framework realistically be granted access across an enterprise despite security and audit concerns?
Question 5A. Because it runs only outside business hoursB. Because it is operated by the Audit department itselfC. Because it reads data only in test environmentsD. Because it stores nothing it observesE. Because access is requested only on the tools used for Metadata Management
6. Which departments are named as unlikely to allow one framework access to every framework in the enterprise?
Question 6A. Marketing, Sales, Finance and HRB. Data Science, Analytics, BI and ReportingC. Security, Risk, Compliance and AuditD. Procurement, Legal, Facilities and OperationsE. Development, Testing, Release and Support
7. When does Data Observability look at sample data rather than metadata?
Question 7A. On request, for debugging purposesB. Continuously, for every table in every data storeC. Only during the annual auditD. Never; it is forbidden from reading any sample dataE. Only when the data is already encrypted
8. Which of the following is NOT listed among the things Data Observability observes?
Question 8A. Metadata of all tables in all data storesB. ETL and ELT tools and shell scriptsC. Dashboards, reports, code sets and KPIsD. Customer payment card numbers stored in production tablesE. All the logs
9. What makes enterprise-wide Data Observability a challenge in most IT environments?
Question 9A. Metadata is too small to be usefulB. Frameworks sit in silos across many clusters, network segments, zones and environments behind firewalls with no centralised controlC. Most organisations have no data pipelines to observeD. Data Observability tools cannot read logsE. Business users refuse to look at dashboards
10. With what in place is enterprise Data Observability ideally achievable?
Question 10A. A single relational database for all systemsB. A dedicated Security Operations CentreC. A monthly manual audit of all pipelinesD. A cloud-only infrastructureE. A Data and AI Cognitive (DAC) Architecture