Answer:
Automation testing can be used for:
<u>Input-output test
:</u> If the main function of your software is to transform input data into output data you can configure a new test by providing a new input/output pair, then the test will check to see if the output matches with the expected values.
<u>Unit test
:</u> This test is a script to check the return values of a specific code by initializing it and calling his methods. This is a part of a test-driven development process.
<u>Integration test
:</u> This test is a code level script that does a complete check process involving multiple objects. For example, you might make a test for “buy a product” which checks to see if the database is updated, if the data is correct of the person is correct, and if the person placing the order gets the right confirmation email.
<u>Smoke Tests:</u> This test is executed immediately after implementation on production to ensure that the application is still functioning.
Answer:
having a capital and lower case letters and a special characters and numbers.
Explanation:
it should be hard but easy enough to remember and no one will know
Answer:
D. all of the above
Explanation:
Contemporary Information Systems are interfacing with customers andsuppliers using, electronic commerce, CRM, and SCM.
Troy should include a short overview of the story that his video will tell and why he wants to tell it (or what the video will be about and why). It should also include the target audience, and where the video will be published.
Answer:
1. Data Cleaning
2. Data Integration
3. Data Selection
4. Data transformation
5. Data Mining
6. Pattern Evaluation
7. Knowledge presentation
Explanation:
The steps involved in data mining or data analytics when viewed as a process of knowledge discovery includes the following:
Step 1. Data cleaning: this involves the elimination of inconsistent data.
Step 2. Data integration: this involves the combination of data from multiple sources.
Step 3. Data selection: this is the step where significant data for task examination are gathered from the database.
Step 4. Data transformation: this the step in which the data are modified for mining by conducting the aggregate operation.
Step 5. Data mining: this step involves the extraction of data patterns through specific techniques.
Step 6. Pattern evaluation: this step involves the identification of patterns that depict knowledge based on measures.
Step 7. Knowledge presentation: this is the step in which visualization and knowledge representation methods are utilized to illustrate mined knowledge to users.
