Answer:
Redundant paths can be available without causing logical Layer 2 loops.
Explanation:
- Spanning Tree Protocol is used to allow redundancy in the Layer 2 switched networks without creating cycles/circles also called loops.
- These loops are called physical loops.
- When two parts of the switched network are connected via two or more Layer 2 switches this result in a loop.
- This affects the performance of the network as the result of broadcast packets flooding.
- STP puts one port of the switch to forward mode and the rest of the ports within the same part of the network to the blocking mode to avoid broadcast packet flooding. STP puts all the ports that are allowing redundant paths to block mode and the one port that is left after this is placed in forward mode.
- Spanning Tree Algorithm is used by STP to determine the optimal path of switch to the network.
- Bridge Protocol Data Units are used to share the information about the optimal path determined by the spanning tree algorithm with other switches.
- This information helps STP to eliminate the redundant paths.
- So this is how STP tracks all the links in the switched network and eliminates redundant loops by allowing only one active path to the destination while blocking all other paths.
Answer:
The correct answer is letter "B": segmenting computer servers to perform dedicated functions.
Explanation:
Computer segmentation refers to separating a server from the rest of the computers within the same network. The segmentation can separate one computer from others or groups of servers from one another. Thew type of segmentation will always depend on the device used to do the separation of the servers.
Answer:
Red velvet: Red Velvet made its debut in 2014, so it is highly probable that SM Entertainment might announce whether or not members of the group will continue to stay in the company by the end of 2021.
Explanation:
Probably black and white, or gold and white Or Gucci clothes.
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.
