Y12 IPT 9.4.1.5 Quiz

What has largely replaced the numerous clerks that once worked within each bank branch?

• Manual data entry

• Transaction processing systems (TOS)

• Paper-based procedures

• Customer service representatives

What is the common alternative for recovery of failure of transaction processing systems?

• Hiring more clerks

• Using more advanced software

• Paper-based non-computer procedures

• Increasing customer visits to the bank

What should be done to ensure participants understand and can correctly implement alternative non-computer procedures?

• Conducting regular training sessions

• Testing the procedures at regular intervals

• Increasing the number of clerks

• Using more advanced technology

What is bias in data collection?

• A method to improve data accuracy

• An inclination or preference that influences data collection

• A strategy to enhance data security

• A way to increase the speed of data processing

Which of the following is NOT a strategy to maximize data security?

• Passwords

• Backup copies

• Physical barriers

• Increasing the number of clerks

What is the purpose of using passwords in data security?

• To confirm that a user is who they say they are

• To increase the speed of data processing

• To reduce the number of clerks needed

• To enhance the quality of data

Which of the following is a strategy to maximize data integrity?

• Using passwords

• Creating backup copies

• Implementing physical barriers

• All of the above

What is the main focus of the section titled "The changing nature of work"?

• The need for more clerks

• The automation of tasks traditionally performed by clerks

• The increase in customer visits to the bank

• The use of paper-based procedures

What is the purpose of referential integrity?

• Ensuring all foreign keys in linked tables match a primary key in the related table

• Ensuring transactions are never incomplete

• Regular checks to ensure the data collected and stored matches the source of the data

• Normalisation to reduce or eliminate duplicate data

What does minimising data redundancy involve?

• Normalisation to reduce or eliminate duplicate data

• Ensuring transactions are never incomplete

• Regular checks to ensure the data collected and stored matches the source of the data

• Ensuring all foreign keys in linked tables match a primary key in the related table