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WGU D426 V2

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WGU D426 V21.Therelationship(withintherelation)thatdescribeshowthevalueofone attributemaybeusedto

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WGU D426 V2
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WGU D426 V2









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WGU D426 V2
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WGU D426 V2

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Geüpload op
6 december 2025
Aantal pagina's
10
Geschreven in
2025/2026
Type
Tentamen (uitwerkingen)
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Vragen en antwoorden

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WGU D426 V2
Study online at https://quizlet.com/_dajsjr

1. The relationship (within the relation) that describes how the value of one
attribute may be used to �nd the value of another attribute.: Functional Dependency
2. An attribute that can be used to �nd the value of another attribute in the
relation.: Determinant
3. Value can be used to �nd the value of every other non-key attribute in the
table. Unique and minimal.: Candidate Key
4. De�ne & manage database structures: DDL
5. Adding, deleting, and modifying data - Manipulates data stored in a data-
base.: DML
6. Used to create user accounts, manage permissions and access.: DCL
7. Includes CREATE, DROP, ALTER, TRUNCATE, RENAME: DDL
8. A view created and stored on the database. Underlying data is changed and
also updated in this view. Uses memory space.: Materialized View
9. Not stored in memory. Only computed when used or accessed.: Virtual View
10. The data about the data. Describes elements such as columns, names, and
data type.: Metadata
11. Ordered collection of elements in parentheses.: Tuple
12. % of table rows selected by a query: Hit Ration
13. Reads blocks directly, without accessing an index.: Table Scan
14. Reads index blocks sequentially in order to locate the needed table blocks.-
: Index Scan
15. Database repeatedly splits the index in two until it �nds a match.: Binary Search
16. Database object that maps one or more tables to a single �le.: Tablespace
17. Speci�es tables, columns, and keys. Implements database requirements in
a speci�c database system. Also called a schema.: Logical Design
18. Speci�es indexes, table structures, and partitions. Speci�es how tables are
organized on storage media.: Physical Design
19. Components of a computer system and the relationships between compo-
nents.: Architecture
20. Interact directly with database users and administrators and send queries
to the query processor. Includes Connectors & APIs, Workbench, and utility
programs.: Tools


, WGU D426 V2
Study online at https://quizlet.com/_dajsjr

21. Interprets queries. Compiles queries into low-level instructions for the stor-
age engine. Creates a plan to modify the database or retrieve data, and returns
query results to the application.: Query Processor
22. Link between tools and query processor: Connection
23. Creates connections and manages communication between tools and query
parser.: Connection Manager
24. Translates the query processor instructions into low-level �le system com-
mands that modify or retrieve data.: Storage Engine
25. Accesses data on storage media. Data stored on storage media and orga-
nized in �les. Contains 3 types of data: - User data (tables & indexes) - Log
�les (record of any changes) - Data dictionary (aka: catalog directory of tables,
columns, keys, indexes in a relational database). One row for each database
object.: File System
26. Stores reusable information in main memory.: Cache Manager
27. Retains data blocks from the �le system for possible reuse.: Bu�er Manager
28. Arranged in hierarchy: Multi-tier architecture
29. Multi-tier consisting of web browsers and web servers communicating over
the internet.: Web architecture
30. A software layer that emulates a complete, independent computing environ-
ment.: Virtual Machine
31. A database o ered as a PaaS cloud service.: Cloud Database
32. A statement or proposition from which another statement is inferred.: Premise
33. Multiple processors managed by a single operating system instance.
Shared memory - share the same memory and storage media.
Shared storage - share storage media only.
Shared nothing: Parallel Computer
34. Group of computers connected by LAN or WAN: Node
35. Group of nodes connected by a LAN, managed by separate operating system
instances. Similar to a parallel computer.: Cluster
36. Runs on a parallel computer or cluster: Parallel Database
37. Runs on multiple computers connected by a WAN: Distributed Database

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