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WGU D330 DATA SYSTEMS FINAL EXAM 2024

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WGU D330 DATA SYSTEMS FINAL EXAM 2024

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WGU D330 DATA SYSTEMS FINAL EXAM 2024




WGU D330 DATA SYSTEMS FINAL EXAM 2024
PRACTICE QUESTIONS AND ANSWERS
VERIFIED AND GRADED A+ (ALL AREAS
COVERED) LATEST


1. What is the primary purpose of a database management system

(DBMS)?

a) Store data in the cloud

b) Secure data from unauthorized access

c) Provide tools for data storage, retrieval, and management

d) Generate automated reports

Answer: c) Provide tools for data storage, retrieval, and management


2. Which of the following is an example of a relational database?

a) MongoDB

b) MySQL

c) Neo4j

d) DynamoDB

Answer: b) MySQL

,WGU D330 DATA SYSTEMS FINAL EXAM 2024


3. What does the acronym ACID stand for in database transactions?

a) Accuracy, Clarity, Integrity, Durability

b) Atomicity, Consistency, Isolation, Durability

c) Access, Control, Information, Data

d) Analysis, Computation, Iteration, Definition

Answer: b) Atomicity, Consistency, Isolation, Durability


4. What is a primary key in a relational database?

a) A field that identifies a record uniquely

b) A field that allows duplicate values

c) A field used for indexing

d) A field containing metadata

Answer: a) A field that identifies a record uniquely


5. Which SQL command is used to retrieve data from a database?

a) INSERT

b) UPDATE

c) DELETE

d) SELECT

Answer: d) SELECT

, WGU D330 DATA SYSTEMS FINAL EXAM 2024


True/False Questions


6. A foreign key must always reference the primary key of another

table.

Answer: True


7. Indexes improve data retrieval speed but increase storage

requirements.

Answer: True


8. Normalization reduces redundancy in database design.

Answer: True


9. In a star schema, fact tables are surrounded by dimension tables.

Answer: True


10.ETL stands for Extract, Transfer, and Load.

Answer: False (Correct: Extract, Transform, and Load)




Short Answer Questions


11.Explain the difference between OLAP and OLTP.

Answer: OLAP (Online Analytical Processing) is used for analyzing

large volumes of data for decision-making, while OLTP (Online

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