CertNexus Exam AIP-210 Topic 7 Question 11 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 11
Topic #: 7

[All AIP-210 Questions]

Below are three tables: Employees, Departments, and Directors.

Employee_Table

Department_Table

Director_Table

Firstname

Lastname

Age

Salary

DeptJD

4566

Joey

Morin

$ 122,000

1230

Sam

Clarck

$ 95,670

9077

Lola

Russell

$ 165,700

1346

Lily

Cotton

$ 156,000

2088

Beckett

Good

$ 165,000

Which SQL query provides the Directors' Firstname, Lastname, the name of their departments, and the average employee's salary?

ASELECT m.Firstname, m.Lastname, d.Name, AVG(e.Saiary) as Dept_avg_Saiary
FROM Employee_Table as e
LEFT JOIN Department_Table as d on e.Dept = d.Name
LEFT JOIN Directorjable as m on d.ID = m.DeptJD
GROUP BY m.Firstname, m.Lastname, d.Name

BSELECT m.Firstname, m.Lastname, d.Name, AVG(e.Salary) as Dept_avg_Salary
FROM Employee_Table as e
RIGHT JOIN Departmentjable as d on e.Dept = d.Name
INNER JOIN Directorjable as m on d.ID = m.DeptJD
GROUP BY d.Name

CSELECT m.Firstname, m.Lastname, d.Name, AVG(e.Salary) as Dept_avg_Salary
FROM Employee_Table as e
RIGHT JOIN Department_Table as d on e.Dept = d.Name
INNER JOIN Directorjable as m on d.ID = m.DeptJD
GROUP BY e.Salary

DSELECT m.Firstname, m.Lastname, d.Name, AVG(e.Salary) as Dept_avg_Salary
FROM Employee_Table as e
RIGHT JOIN Department_Table as d on e.Dept = d.Name
INNER JOIN Directorjable as m on d.ID = m.DeptID
GROUP BY m.Firstname, m.Lastname, d.Name

Show Suggested Answer

Suggested Answer: B

A support-vector machine (SVM) is a supervised learning algorithm that can be used for classification or regression problems. An SVM tries to find an optimal hyperplane that separates the data into different categories or classes. However, sometimes the data is not linearly separable, meaning there is no straight line or plane that can separate them. In such cases, a polynomial kernel can help improve the prediction of the SVM by transforming the data into a higher-dimensional space where it becomes linearly separable. A polynomial kernel is a function that computes the similarity between two data points using a polynomial function of their features.

by Fausto at Jan 28, 2024, 03:20 AM

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