Answer:
Type of myDisk.brand is BrandInfo.
Explanation:
Answer:
"Object-oriented" would be the correct choice.
Explanation:
- An object-oriented database seems to be a database that subscribes to a framework containing object-depicted details. Throughout the context of the relational database management system, object-oriented is a unique product that is not as popular and most well-known as traditional web applications.
- This indicates that internet connectivity to existing records has to implement the previously defined connections for interacting components established by that same containers.
Option B is the correct answer, Employers have flexibility in choosing a fall protection system they believe will work best in a situation selected. It is the primary duty of employer to provide safety to its workers. Employers must setup a suitable protection system at workplace from falling off from overhead platforms and from elevated workstations during construction for safety of its employees.
Further Explanation:
⦁ Employer must ensure compliance to OSHA-Fall protection in construction.
⦁ Generally, fall protection must be ensured by deploying guardrail systems at the edge of construction sites, safety systems built by nets or personal fall arrest.
⦁ OSHA requires to built fall protection system irrespective of fall distance to make sure safety conditions for workers/ employees.
Answer details:
Grade: High School
Subject: Computer Science and Technology.
Learn More:
Fall protection and compliance to OSHA rules and regulations
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Employer responsibility in providing fall protection
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Key Words: Fall protection, OSHA, workplace safety, guardrail systems etc.
Image of guardrail as an example is attached.
Answer:
Measures including device data encryption, anti-malware software, and communications encryption.
Answer:
4. Supervised learning.
Explanation:
Supervised and Unsupervised learning are both learning approaches in machine learning. In other words, they are sub-branches in machine learning.
In supervised learning, an algorithm(a function) is used to map input(s) to output(s). The aim of supervised learning is to predict output variables for given input data using a mapping function. When an input is given, predictions can be made to get the output.
Unsupervised learning on the other hand is suitable when no output variables are needed. The only data needed are the inputs. In this type of learning, the system just keeps learning more about the inputs.
Special applications of supervised learning are in image recognition, speech recognition, financial analysis, neural networking, forecasting and a whole lot more.
Application of unsupervised learning is in pre-processing of data during exploratory analysis.
<em>Hope this helps!</em>
