Answer:
Serial SCSI
Explanation:
Hot swapping can be defined as a process which typically involves fitting or replacing CD-ROM drive, hard-disk drive, power supply or other peripheral devices while a computer system is powered on. Thus, it allows for the installation or removal of a peripheral device from a computer while power is still being supplied to the computer i.e without having to shutdown the computer.
Serial SCSI is a SCSI standard which allows for the technique known as “hot swapping” because it's a point to point connection that is designed to move data to and from computer storage serially.
Answer:
Multiple devices can be connected
Answer:
A company will only process your personal data when they have a legal basis for doing so.
The legal basis to process personal data will one of the following:
1.For the performance of contract: for recruitment process, for human resource management, and to manage those carrying out work on behalf of PI.
2.For legal requirement: to comply with applicable regulatory obligations and employment law.
3.For their legitimate interests:
to administer their website, to manage their donations, to carry out research and investigations and to manage volunteer.
Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
