Question 81
SCENARIO
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
Regarding the app, which action is an example of a decisional interference violation?
Please use the following to answer the next question:
Light Blue Health (LBH) is a healthcare technology company developing a new web and mobile application that collects personal health information from electronic patient health records. The application will use machine learning to recommend potential medical treatments and medications based on information collected from anonymized electronic health records. Patient users may also share health data collected from other mobile apps with the LBH app.
The application requires consent from the patient before importing electronic health records into the application and sharing it with their authorized physicians or healthcare provider. The patient can then review and share the recommended treatments with their physicians securely through the app. The patient user may also share location data and upload photos in the app. The patient user may also share location data and upload photos in the app for a healthcare provider to review along with the health record. The patient may also delegate access to the app.
LBH's privacy team meets with the Application development and Security teams, as well as key business stakeholders on a periodic basis. LBH also implements Privacy by Design (PbD) into the application development process.
The Privacy Team is conducting a Privacy Impact Assessment (PIA) to evaluate privacy risks during development of the application. The team must assess whether the application is collecting descriptive, demographic or any other user related data from the electronic health records that are not needed for the purposes of the application. The team is also reviewing whether the application may collect additional personal data for purposes for which the user did not provide consent.
Regarding the app, which action is an example of a decisional interference violation?
Question 82
SCENARIO
Clean-Q is a company that offers house-hold and office cleaning services. The company receives requests from consumers via their website and telephone, to book cleaning services. Based on the type and size of service, Clean-Q then contracts individuals that are registered on its resource database - currently managed in-house by Clean-Q IT Support. Because of Clean-Q's business model, resources are contracted as needed instead of permanently employed.
The table below indicates some of the personal information Clean-Q requires as part of its business operations:
Clean-Q has an internal employee base of about 30 people. A recent privacy compliance exercise has been conducted to align employee data management and human resource functions with applicable data protection regulation. Therefore, the Clean-Q permanent employee base is not included as part of this scenario.
With an increase in construction work and housing developments, Clean-Q has had an influx of requests for cleaning services. The demand has overwhelmed Clean-Q's traditional supply and demand system that has caused some overlapping bookings.
Ina business strategy session held by senior management recently, Clear-Q invited vendors to present potential solutions to their current operational issues. These vendors included Application developers and Cloud-Q's solution providers, presenting their proposed solutions and platforms.
The Managing Director opted to initiate the process to integrate Clean-Q's operations with a cloud solution (LeadOps) that will provide the following solution one single online platform: A web interface that Clean-Q accesses for the purposes of resource and customer management. This would entail uploading resource and customer information.
A customer facing web interface that enables customers to register, manage and submit cleaning service requests online.
A resource facing web interface that enables resources to apply and manage their assigned jobs.
An online payment facility for customers to pay for services.
If Clean-Q were to utilize LeadOps' services, what is a contract clause that may be included in the agreement entered into with LeadOps?
Clean-Q is a company that offers house-hold and office cleaning services. The company receives requests from consumers via their website and telephone, to book cleaning services. Based on the type and size of service, Clean-Q then contracts individuals that are registered on its resource database - currently managed in-house by Clean-Q IT Support. Because of Clean-Q's business model, resources are contracted as needed instead of permanently employed.
The table below indicates some of the personal information Clean-Q requires as part of its business operations:
Clean-Q has an internal employee base of about 30 people. A recent privacy compliance exercise has been conducted to align employee data management and human resource functions with applicable data protection regulation. Therefore, the Clean-Q permanent employee base is not included as part of this scenario.
With an increase in construction work and housing developments, Clean-Q has had an influx of requests for cleaning services. The demand has overwhelmed Clean-Q's traditional supply and demand system that has caused some overlapping bookings.
Ina business strategy session held by senior management recently, Clear-Q invited vendors to present potential solutions to their current operational issues. These vendors included Application developers and Cloud-Q's solution providers, presenting their proposed solutions and platforms.
The Managing Director opted to initiate the process to integrate Clean-Q's operations with a cloud solution (LeadOps) that will provide the following solution one single online platform: A web interface that Clean-Q accesses for the purposes of resource and customer management. This would entail uploading resource and customer information.
A customer facing web interface that enables customers to register, manage and submit cleaning service requests online.
A resource facing web interface that enables resources to apply and manage their assigned jobs.
An online payment facility for customers to pay for services.
If Clean-Q were to utilize LeadOps' services, what is a contract clause that may be included in the agreement entered into with LeadOps?
Question 83
What would be an example of an organization transferring the risks associated with a data breach?
Question 84
What distinguishes a "smart" device?
Question 85
During a transport layer security (TLS) session, what happens immediately after the web browser creates a random PreMasterSecret?