Answer:
Run directory services
Explanation:
LDAP (Lightweight Directory Access Protocol) is an open protocol used to access some information, information that is stored in a network, the information is organized hierarchical structure, we could find some data like names, directories, and telephone numbers.
With other options, we can find DHCP to assign IP addresses and to resolve IP addresses to host names, we have the DNS.
This gap between user-designer communications <span>can cause a good project to go bad i</span>f the user is not able to process what is required to be fixed in order for the project to run smoothly. The user may have one way of fixing something while the designer has another. In this case, the designer understands how the project fully works while the user does not and this may end up compromising the whole project.
The law that “designers are not users” and “users are not designers” should always be followed.
Answer:
The source and destination IP addresses are 10.0.1.19 and 10.0.1.25
Explanation:
NAT or network address translation is a network protocol is used by private networks to access the internet by assigning or mapping a public IP address to the private addresses.
The host with IP address 10.0.1.19 searches for the actual destination IP address 128.119.160.183 in its private network and when it does not find it, it sends the packet to the default gateway IP address 10.0.1.25, which is where the private IP address is NATted and sent to the destination.
Question options:
State Machine
Flowchart
Sequence
Global Exception Handler
Answer:
Sequence
Explanation:
Uipath is an RPA(Robotic process automation) software that is used by IT professionals and business executives in automating routine or iterative tasks in an organization. Uipath process projects incorporate different workflow types which include :sequence, flowchart, state machine and global exception handler. The sequence workflow type is used for simple linear projects that are not very complex and occupies a single activity block.
Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.
