Knowledge Graph (KG) — Learn free

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Questions 1–10 of 10

1. How is a Knowledge Graph (KG) compared to a relational database in I Am Datapedia!?
Question 1A. Just as a row is the physical content in a relational database, a Knowledge Graph is the physical content in a graph databaseB. A Knowledge Graph is the index of a relational databaseC. A Knowledge Graph is the schema of a relational databaseD. A Knowledge Graph is a backup of a relational databaseE. A Knowledge Graph is a query language for relational databases
2. What is a Knowledge Graph?
Question 2A. A hierarchical list of categoriesB. A structured representation of knowledge where entities (nodes) and their relationships (edges) are stored and queried in a graph formatC. A set of rules that constrain a database schemaD. A visual chart of company revenueE. A collection of unstructured documents
3. A Knowledge Graph is described as the populated version of four things. Which set is correct?
Question 3A. Tables, rows, columns and keysB. Files, folders, drives and serversC. Graph Theory (structure), MetaGraph (metadata), Taxonomies (classification) and Ontologies (rules)D. Dashboards, reports, KPIs and OKRsE. ETL, ELT, streaming and batch
4. What does a Knowledge Graph add to the abstract structure that Graph Theory provides?
Question 4A. A hierarchical classificationB. Reasoning rulesC. A relational schemaD. Data instances: nodes representing real-world entities and edges representing actual relationshipsE. A programming language
5. What kind of metadata does a Knowledge Graph embed for each node and edge, according to the MetaGraph comparison?
Question 5A. Only the primary keyB. The colour and size of the nodeC. The name of the database administratorD. The SQL used to create itE. Source, provenance, lineage or confidence scores
6. How does a Knowledge Graph relate to a Taxonomy such as Electronics, Laptops, Gaming Laptops?
Question 6A. It instantiates the classification by linking specific data entities to their categories, such as a Dell Gaming Laptop belonging to Gaming LaptopsB. It replaces the taxonomy with a flat listC. It stores the taxonomy as a single nodeD. It ignores the taxonomy entirelyE. It defines the rules by which the taxonomy is built
7. In the Knowledge Graph comparison, what does an Ontology define?
Question 7A. The physical rows of dataB. The schema, rules and semantics for entities and relationships, such as 'a Product must Belong To a Category'C. The confidence score of every edgeD. The mathematical definition of a vertexE. The storage engine of the graph database
8. In the relational-to-graph comparison, an Orders table with columns OrderID, CustomerID and OrderDate corresponds to what in a Knowledge Graph?
Question 8A. A single node called Orders with no edgesB. A taxonomy of order categoriesC. Nodes for Customers and Orders with a Purchases edge between them, such as (Customer: Alice) -[:Purchases {Date: '2023-12-12'}]-> (Order: #12345)D. A column called PurchasesE. An ontology rule that customers must exist
9. Which of the following is NOT one of the concepts that a Knowledge Graph is said to integrate closely with and unify?
Question 9A. Graph TheoryB. MetaGraphC. TaxonomiesD. Star schemasE. Ontologies
10. In a relational database, what is the state of the schema (tables, columns, constraints) before rows are added, and what is the equivalent in the graph world?
Question 10A. The schema is full of default data; the Knowledge Graph is likewise pre-filledB. The schema does not exist until rows arrive; the Knowledge Graph creates its structure on the flyC. The schema is locked; the Knowledge Graph is read-onlyD. The schema is deleted; the Knowledge Graph is archivedE. The schema is empty until populated with rows; similarly the Knowledge Graph is the populated version of the graph structure, metadata, classification and rules