Answer:
The value of 8n would be 16
8n
8(2)= 16
(uhh this is a math question right? Sorry if it has to deal with tech)
Answer:
Risk management is the technique that is used for managing the risky situation so that security of the system or organization can be maintained. The risk can be reduced by parameters like monitoring the system,alertness, preventive measures etc. There are terms related with the risk management for prevention of the risk such as risk control ,risk identification and risk assessment .
- Risk control is the method that is used for calculating the loss or damage experience and then taking the correct measures to reduce the loss and thus, controlling the risk.
- Risk assessment is the analyzation of the threats and source of damage/loss that is caused or can be caused by assessing the whole process and functioning.
- Risk identification is the technique through which the threat is listed over a document and sorted in accordance with the category of risk, risk response etc.
<span>The destination address field must contain the MAC address.
The MAC address is needed to help find a device for an ARP request.</span>
All hosts on the LAN will receive this broadcast frame. The host with the IP address of 192.168.1.1 (default gateway) will send a unicast reply to the source (PC host). This reply contains the MAC address of the NIC of the Default Gateway.
Answer:
2. A data modelling project using a packaged data model REQUIRES A GREATER SKILL than a project not using a packaged data model.
Explanation:
1a. Review of universal models:
A data model is an abstract model that organizes elements of data and standardizes how they relate to one another and to the properties of real world entities. It has become the standard approach used towards designing databases.
A universal data model is a template data model that can be reused as a starting point or a building block to jump-start development of a data modelling project, industry specific model, logical data models.
1b. Discuss how these are being used more widely today.
*Universal data models helps professional reduce development time, improve consistency and standardization while achieving high quality models.
*Higher quality: just as architects consider blue prints before constructing a building, one should also consider data before building an app. A data model helps define the problem, enabling one to consider different approaches and choose best ones.
*By properly modelling and organization's data, the database designer can eliminate data redundancies (needless repetitions) which are a key source for inaccurate information and ineffective systems.
2. Greater and advanced skills are adequate and required when data modelling project is done using packaged data model while fewer skills are required when data modelling is done without packaged data model.
