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Answer: E. Use a RESTful architecture for both, send the ID through a POST, and ping the service with a GET until a response is available.
Explanation:
Since there are two microservices that need to communicate with each other without holding up a thread on either end, the communication framework should be used is a RESTful architecture for both, send the ID through a POST, and ping the service with a GET until a response is available.
REST is a software architectural style which is used in defining the set of rules that be used for the creation of web services. The REST architecture allows requesting systems to be able to access and manipulate web resources.
The format for the UPDATE command is the word UPDATE, followed by the name of the table to be updated. The next portion of the command consists of the word <u>SET</u>, followed by the name of the column to be updated, an equals sign, and the new value.
Explanation:
- An Update Query is an action query (SQL statement) that changes a set of records according to criteria you specify.
- The SQL UPDATE Query is used to modify the existing records in a table. You can use the WHERE clause with the UPDATE query to update the selected rows, otherwise all the rows would be affected.
- Update Queries let you modify the values of a field or fields in a table.
<u>UPDATE Syntax
</u>
- UPDATE table_name
- SET column1 = value1, column2 = value2, ...
- WHERE condition;
UPDATE table_name SET column1 = value1, column2 = value2, etc WHERE condition;
- table_name: name of the table
- column1: name of first , second, third column....
- value1: new value for first, second, third column....
- condition: condition to select the rows for which the
- values of columns needs to be updated.
Explanation:
The data life cycle is the sequence of stages that a particular unit of data goes through from its initial generation or capture to its eventual archival and/or deletion at the end of its useful life. Although specifics vary, data management experts often identify six or more stages in the data life cycle.
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