INFO MNGT MIDTERM EXAM P2

What are examples of structured data resources?

• Census data, population statistics

• XML files, JSON data

• Databases, spreadsheets

• Text documents, images, videos

What is the main goal of data quality management?

• To integrate data from disparate systems

• To facilitate multidimensional analysis

• To ensure data is accurate, consistent, and reliable

• To aggregate data into a single repository

What is the key aspect of database security known as confidentiality or secrecy?

• Protecting the database from unauthorized users

• Protecting the database from authorized users

• Ensuring data is fully protected from tampering

• Encoding data so only authorized users can read it

What is the purpose of a database firewall?

• To encrypt sensitive data stored in tables

• To ensure data quality and consistency

• To monitor databases for specific attacks

• To restrict user access to necessary data

What is the main challenge in data warehouse implementation?

• Data integration issues

• Performance optimization

• Data cleansing

• Data validation

What is the characteristic of structured data resources?

• Lacks a fixed format

• Adheres to a predefined schema

• Provides context and enriches internal data

• Combines elements of structured and unstructured data

What is the main benefit of a data warehouse?

• Leveraging historical data for trend analysis

• Maintaining uniform data across the organization

• Efficient querying and reporting for business insights

• Seamlessly integrating data from disparate systems

What is the purpose of data streaming?

• To protect databases from cyber threats

• To ensure data quality and consistency

• To centralize customer data from multiple sources

• To process and analyze real-time data

What is the main aspect of database security known as integrity?

• Protecting the database from authorized users

• Protecting the database from unauthorized users

• Ensuring data is fully protected from tampering

• Encoding data so only authorized users can read it

What is the purpose of data quality software in data quality management?

• To facilitate data quality management processes

• To remove errors and inconsistencies

• To validate user actions and resources

• To ensure data conforms to predefined rules