<em>r = 15 cm</em>
<em>formula</em>
<em>V = πr²×h/3</em>
<em>replace</em>
<em>4950 = 22/7×r²×21/3</em>
<em>4950 = 22/7×r²×7</em>
<em>4950 = 22×r²</em>
<em>r² = 4950/22</em>
<em>r² = 225</em>
<em>r = √225</em>
<em>r = √15²</em>
<em>r = 15 cm</em>
Answer:
The three options are:
1. Avoid sharing files and folders over the network without the permission of your administrators. You might fall in trouble otherwise.
2. Never share your credit card details with a third party through the internet. You can lose a lot of or all your money.
3. Always ensure that your password is strong enough or else your account can be hacked, And never share them with anybody.
Explanation:
Please check the answer.
☆ <u>Since, the computer accepts raw data as input and converts into information by means of data processing, it is called information processing machine (IPM).</u>
HOPE IT HELPS ❣️
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.
End-User Software. Because it is not professional
