Answer: Determine the most popular solution.
Explanation:
Some of the approaches to problem solving that are listed here include:
• Gather data and verify the most likely causes.
• Revise the project plan.
• Evaluate the alternative solutions
To solve a problem, one needs to gather the data and verify the likely causes of the problem. This can be done by asking questions, running test, interviewing people, running tests, reading reports, or analyzing data.
The project plan can also be revised. Likewise, when one comes with different solutions, one should weigh the cost and benefits of each in order to choose the best solution.
Determine the most popular solution isn't a correct option.
Answer:
Technician B.
Explanation:
The claim of technician B that some vehicle manufacturers use a stepped ECT circuit inside the PCM to broaden the accuracy of the sensor is correct.
Answer:
B) Punctuation
Explanation:
Punctuation are greatly used in different programming languages for different purposes. In the Java, C++ and C# Programming languages for example, two popular punctuation marks are the comma (,) and semi-colon (;). The comma is used for separating elements of a list and arrays, while the semi-colon indicates end of an executable statement or line of code. Other popular punctuation marks used in programming are periods (dot), question marks, parenthesis angle brackets and braces each implementing a specific grammatical syntax in the language.
Answer: Package software
Explanation:
Packaged software is the software that contains the functions and programs that are similar in the nature and features.
It is designed in such a way so that it can attract the customers and user by providing the benefit of the selling of the collection of programs rather than buying individual software programs which costs higher.
Thus, it produced at a large scale as well as bought by numerous users.
Answer:
Explanation:
Data science defined
Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can then review the results to uncover patterns and enable business leaders to draw informed insights.
