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In the realm of artificial intelligence, how has deep learning enabled greater implementation of machine learning?

  1. By using hand-coded classifiers like edge detection filters so that a program can identify where an object starts and stops.
  2. By increasing the size of neural networks and running massive amounts of data through the network to train it.
  3. By using algorithmic approaches such as decision tree learning and inductive logic programming.
  4. By hand coding software routines with a specific set of instructions to accomplish a task.

Answer(s): B


Reference:

https://towardsdatascience.com/notes-on-artificial-intelligence-ai-machine-learning-ml- and-deep-learning-dl-for-56e51a2071c2



Which of the following is an example of the privacy risks associated with the Internet of Things (loT)?

  1. A group of hackers infiltrate a power grid and cause a major blackout.
  2. An insurance company raises a person's rates based on driving habits gathered from a connected car.
  3. A website stores a cookie on a user's hard drive so the website can recognize the user on subsequent visits.
  4. A water district fines an individual after a meter reading reveals excess water use during drought conditions.

Answer(s): B



How can a hacker gain control of a smartphone to perform remote audio and video surveillance?

  1. By performing cross-site scripting.
  2. By installing a roving bug on the phone.
  3. By manipulating geographic information systems.
  4. By accessing a phone's global positioning system satellite signal.

Answer(s): B



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?

  1. A provision that holds LeadOps liable for a data breach involving Clean-Q's information.
  2. A provision prescribing technical and organizational controls that LeadOps must implement.
  3. A provision that requires LeadOps to notify Clean-Q of any suspected breaches of information that involves customer or resource information managed on behalf of Clean-Q.
  4. A provision that allows Clean-Q to conduct audits of LeadOps' information processing and information security environment, at LeadOps' cost and at any time that Clean-Q requires.

Answer(s): D






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