OA EXAM NEWEST 2026 ACTUAL EXAM 2 LATEST
VERSIONS 300 QUESTIONS AND CORRECT DETAILED
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1. Which of the following best describes an operational database?
An operational database is a system that captures all elements of
the day-to-day activities of the business
An operational database is a system that captures both the day-to-day
and historical business activities
An operational database is a system that captures and transforms data
from different data sources
An operational database is a system that captures and stores historical
activities in the business
2. Describe the significance of a primary key in maintaining data integrity within
a relational database.
A primary key ensures that each record in a table is unique, which
helps maintain data integrity.
A primary key is used to create relationships between tables without
uniqueness.
A primary key can be changed frequently without affecting data
integrity.
A primary key allows for duplicate records in a table.
3. What is the primary characteristic that distinguishes a data mart from a data
warehouse?
, General-purpose and unstructured
Subject-oriented and smaller in size
Larger and more complex
Integrated and real-time
4. Describe the main purpose of operational databases in the context of
business operations.
Operational databases are used to manage and store real-time
transactional data that supports day-to-day business activities.
Operational databases are designed for long-term data storage.
Operational databases are used for data mining and ETL processes.
Operational databases are primarily for data analysis and reporting.
5. If a company implements a new DBMS, what immediate benefit can they
expect regarding data access?
Increased data redundancy
Decreased data integrity
Improved control over data access
Slower data retrieval times
6. What is the primary purpose of data mining techniques?
To perform ETL processes.
To store data in a structured format.
To discover patterns and extract valuable information from large
datasets.
To ensure data integrity in databases.
,7. Describe the implications of having unnormalized forms in database tables.
Unnormalized forms ensure that all data is stored in a single table.
Unnormalized forms enhance data integrity and reduce redundancy.
Unnormalized forms simplify data retrieval processes.
Unnormalized forms can lead to data redundancy and
inconsistency.
8. Describe the role of foreign keys in maintaining referential integrity in a
database.
Foreign keys must match primary keys in related tables to maintain
referential integrity.
Foreign keys are used to create indexes for faster data retrieval.
Foreign keys are only relevant in non-relational databases.
Foreign keys can be null to allow flexibility in data entry.
9. In a scenario where a retail company wants to improve its sales strategy, how
could data mining techniques be utilized?
To store customer data securely.
To ensure the accuracy of sales transactions.
To analyze customer purchasing patterns and identify trends that
can inform marketing strategies.
To create a backup of sales data.
10. Which one of the following queries will list all attributes and all rows from
the PRODUCT table?
SELECT WHERE FROM PRODUCT;
, SELECT % FROM PRODUCT;
SELECT * FROM PRODUCT;
11. Describe the role of foreign keys in maintaining referential integrity.
Foreign keys are used to encrypt sensitive data in the database.
Foreign keys must match primary keys in related tables to maintain
referential integrity.
Foreign keys allow for the duplication of data across tables.
Foreign keys are not necessary for data consistency.
12. Describe the role of a data warehouse in an organization's data management
strategy.
A data warehouse is primarily used for real-time transaction
processing.
A data warehouse only stores historical data without analytical
capabilities.
A data warehouse serves as a centralized repository that supports
analytical processing and data analysis.
A data warehouse is used to manage user access and security.
13. What is the primary goal of clustering in data mining?
Combining multiple datasets into one
Creating a single summary statistic for the dataset
Eliminating outliers from the dataset
Dividing a large dataset into smaller groups based on similarities
14. If a company needs to track customer orders in real-time, which type of
database would be most appropriate for this task?