Answer:
Each variable has a name, a value, and a type. The value might change over time, and that's why its “variable.” Many variables store numbers and strings, like the ones above. Variables can also store other types of data, like lists, dictionaries, and Boolean values
Explanation:
Answer:
The core element of notions is called blocks from where all the content bring forth. It has around fifty blocks.
Explanation:
Notion is the newest and fastest growing productivity tools for the recent memory. Notions has been reached out to the fight club meme status. When it is plain, it is easy to use and start. But even after it many of the users have difficulty in using this tools when it comes to the powerful cases.
There are some steps through that one can start to use this tool for their productivity.
To built the blocks
To organize the notions.
To create the habit tracker
To move the pages in notions
Data base and the views.
Type / - type table - select online- full page
Answer:
"
CRL (certificate revocation list)" is the appropriate answer.
Explanation:
- A collection of such subscriber bases containing accreditation or certification status combined with the validation, revocation, or outdated certification within each final customer is known as CRL.
- Only certain subscribing workstations with a certain underlying cause authentication system should have been duplicated.
Answer: Detailed
Explanation:
SDLC consist of 7 phases. They are:
1. Planning.
2. System analysis and requirement
3. Design:
4. Coding:
5. Testing:
6. Installation
7. Maintenance
Here we are talking of the third phase. In this phase it is the design phase which consist of high and low level design. Here the preliminary design is included in high level design where it describes the required hardware, software, network capabilities and the modelling of the interface. However the detailed design in low level design will implement the coding and will finding of any errors in the implemented design as described by the preliminary design.
Answer:
warehouse
Explanation:
A bit similar to a database, a data warehouse is a collection or large store of data from different sources that businesses and organization can use to make intelligent business decisions. The data sources for a data warehouse are typically databases from different vendors and architectures.
Data warehouses are typically data repositories used by organizations for data analysis and reporting purposes.