LSUS MBA-703 PRACTICE EXAMINATION
2026 QUESTIONS WITH ANSWERS
GUARANTEED TO PASS.
⩥ Seed Round. Ans: The initial round of capital provided to a startup,
often by angel investors or venture firms focused on early stage
investments. If the firm is successful, the seed round is usually followed,
when particular milestones are achieved, by subsequent and larger
rounds of investment, typically labeled alphabetically (e.g., series A,
series B, etc.).
⩥ Change Management. Ans: Refers to techniques to facilitate
organization change, including preparing individuals for change and
offering training and support during and after implementation. Change
management is especially important in IS use, as many information
systems implementations involve radical change to the way a firm
conducts business or the way individuals and teams operate within the
organization.
⩥ Parameters. Ans: Values that are created by the foundation model and
that are used by LLMs to determine text elements, relationships between
these elements, and that are further refined during training. The more
parameters that are in a model, the more complex and comprehensive
the resulting LLM will be.
, ⩥ Machine Learning (ML). Ans: A type of artificial intelligence that
leverages massive amounts of data so that computers can improve the
accuracy of actions and predictions on their own without additional
programming.
⩥ Deep Learning. Ans: A type of machine learning that uses multiple
layers of interconnections among data to identify patterns and improve
predicted results. Deep learning most often uses a set of techniques
known as neural networks and is popularly applied in tasks like speech
recognition, image recognition, and computer vision.
⩥ Turing Test. Ans: A test of a computers to exhibit behavior so that it is
indistinguishable from a human
⩥ Reinforcement Leaarning from Human Feedback. Ans: A machine
learning training technique that uses a reward model and human
evaluators that will provide feedback to continually tune results.
⩥ Aritificial General Intelligence (AGI). Ans: Refers to software that's
capable of learning and reasoning on any task or subject, including
developing reasoning about topics not presented through a training
corpus.
2026 QUESTIONS WITH ANSWERS
GUARANTEED TO PASS.
⩥ Seed Round. Ans: The initial round of capital provided to a startup,
often by angel investors or venture firms focused on early stage
investments. If the firm is successful, the seed round is usually followed,
when particular milestones are achieved, by subsequent and larger
rounds of investment, typically labeled alphabetically (e.g., series A,
series B, etc.).
⩥ Change Management. Ans: Refers to techniques to facilitate
organization change, including preparing individuals for change and
offering training and support during and after implementation. Change
management is especially important in IS use, as many information
systems implementations involve radical change to the way a firm
conducts business or the way individuals and teams operate within the
organization.
⩥ Parameters. Ans: Values that are created by the foundation model and
that are used by LLMs to determine text elements, relationships between
these elements, and that are further refined during training. The more
parameters that are in a model, the more complex and comprehensive
the resulting LLM will be.
, ⩥ Machine Learning (ML). Ans: A type of artificial intelligence that
leverages massive amounts of data so that computers can improve the
accuracy of actions and predictions on their own without additional
programming.
⩥ Deep Learning. Ans: A type of machine learning that uses multiple
layers of interconnections among data to identify patterns and improve
predicted results. Deep learning most often uses a set of techniques
known as neural networks and is popularly applied in tasks like speech
recognition, image recognition, and computer vision.
⩥ Turing Test. Ans: A test of a computers to exhibit behavior so that it is
indistinguishable from a human
⩥ Reinforcement Leaarning from Human Feedback. Ans: A machine
learning training technique that uses a reward model and human
evaluators that will provide feedback to continually tune results.
⩥ Aritificial General Intelligence (AGI). Ans: Refers to software that's
capable of learning and reasoning on any task or subject, including
developing reasoning about topics not presented through a training
corpus.
