Answer:
Omega Software is attempting to make a change in the area of people.
Explanation:
Types of Organizational Change:
Most organizations have to go through a change to keep up with the changing market dynamics, trends and technologies. There are four major types of organizational change:
- Structural
- Strategic
- People
- Process
People change:
One of the organizational change is people change where organizations strive towards the improvement of their employee's skills set and productivity. This is usually achieved by launching various specialized and general training programs for employees to enhance their knowledge and widen their skills set so that they can work more efficiently for the organization.
Therefore, it can be concluded that Omega Software is attempting to make a change in the area of People.
Answer:
a. 1 is a packet, 2 is data, 3 is a frame.
Explanation:
And what is not mentioned is segment which used TCP/UDP and is part of Transport layer. The packet carries the destination and sender IP address, and is part of the Network Layer. The frame has the Mac address of destination device and senders device and is part of data link layer.
Hence segment has no IP address, hence b. is not correct. Also, data cannot have the IP Address, and Frame has the MAC address, Hence, the above answer. And this arrangement is part of Data Encapsulation.
Also keep in mind data can be anything like a series of bits, or any and it can or not have a header.
Answer: See explanation
Explanation:
Custom written software refers to the software that's developed for some particular organization or users. It's crates in order to meet the unique requirements of a business.
Since Henry is thinking of using custom written, open source software, then a custom written software will be used. Examples of custom written software will be automated invoicing, bug tracking software, E-commerce software solutions etc.
I would go straight to the bank and have it reported along with the police.
Answer:
a. This is an instance of overfitting.
Explanation:
In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.
