EC12-03 Data Collection, Storage, and Manipulation

What is the primary purpose of data encryption in enterprise computing?

• To enhance data storage capacity.
• To protect sensitive information from unauthorized access.
• To improve network speed and performance.
• To facilitate data sharing among users.

Which of the following is a common method for securely collecting data?

• Using unencrypted HTTP forms

• Unsecured email transmission
• Encrypting data during transmission

•  Storing data in plain text files

What is the main advantage of cloud storage over on-premise storage?

• Lower costs for long-term storage.
• Faster access speeds compared to on-premise solutions.
• Higher security and control over data.
• Cloud storage is scalable and offers disaster recovery

How does role-based access control (RBAC) improve data security?

• RBAC allows unrestricted access to all data for all users.
• RBAC improves data security by restricting access based on user roles, ensuring users only access necessary data.
• RBAC improves data security by encrypting all data automatically.
• RBAC eliminates the need for user authentication altogether.

What is an example of data manipulation?

• Removing duplicate records from a dataset

• Creating a database backup.
• Generating a random password.
• Sorting a list of names alphabetically.

Why is data validation important in enterprise computing?

• Data validation is important in enterprise computing to ensure data accuracy, integrity, and compliance.
•  It ensures data is accurate and follows a correct format

• Data validation slows down the computing process.
• Data validation is irrelevant for cloud computing.

What is the main benefit of using dashboards in data visualization?

• Dashboards allow users to interact with and analyze data in real-time

• Dashboards are designed to replace traditional reporting methods completely.
• Dashboards only display historical data without any analysis.
• Dashboards are primarily used for storing large datasets.

What security measure helps prevent unauthorized changes to stored data?

• Using audit trails to track changes

• Regular software updates
• User authentication protocols
• Data encryption techniques

 How does data anonymization protect sensitive information?

• Data anonymization is only effective for non-sensitive data.
• Data anonymization increases the amount of identifiable information available.
• Data anonymization makes data completely unusable for analysis.
• Data anonymization protects sensitive information by removing or altering personally identifiable information, making it difficult to identify individuals.

​ (a)   ensures that data ​ (b)   from ​ (c)   by converting it into a secure format that can only be read with the ​ (d)   key. This prevents ​ (e)  

• Encryption
• is protected
• unauthorized access
• correct decryption
• data breaches and cyberattacks.