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Free CertNexus AIP-210 Exam Actual Questions

The questions for AIP-210 were last updated On Mar 25, 2025

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Question No. 1

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 Answer

Correct Answer: D

This SQL query provides the Directors' Firstname, Lastname, the name of their departments, and the average employee's salary by joining the three tables using the appropriate join types and conditions. The RIGHT JOIN between Employee_Table and Department_Table ensures that all departments are included in the result, even if they have no employees. The INNER JOIN between Department_Table and Directorjable ensures that only departments with directors are included in the result. The GROUP BY clause groups the result by the directors' names and departments' names, and calculates the average salary for each group using the AVG function. Reference: SQL Joins - W3Schools, SQL GROUP BY Statement - W3Schools

Question No. 2

For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression using all of the data over the 10-year period, with age as the dependent variable and the biomarkers as predictors.

Which assumption of linear regression is being violated?

AEquality of variance (Homoscedastidty)

BIndependence

CLinearity

DNormality

Show Answer

Correct Answer: B

Independence is an assumption of linear regression that states that the errors (residuals) of the model are independent of each other, meaning that they are not correlated or influenced by previous or subsequent errors. Independence can be violated when the data has serial correlation or autocorrelation, which means that the value of a variable at a given time depends on its previous or future values. This can happen when the data is collected over time (time series) or over space (spatial data). In this case, the data is collected over time from a group of subjects, which may introduce serial correlation among the errors.

Question No. 3

Which of the following is TRUE about SVM models?

AThey can be used only for classification.

BThey can be used only for regression.

CThey can take the feature space into higher dimensions to solve the problem.

DThey use the sigmoid function to classify the data points.

Show Answer

Correct Answer: C

SVM models can use kernel functions to map the input data into higher-dimensional feature spaces, where linear separation is possible. This allows SVM models to handle non-linear problems effectively. Reference:CertNexus Certified Artificial Intelligence Practitioner,Support vector machine - Wikipedia

Question No. 4

Which of the following is the definition of accuracy?

A(True Positives + False Positives) / Total Predictions

B(True Positives + True Negatives) / Total Predictions

CTrue Positives / (True Positives + False Negatives)

DTrue Positives / (True Positives + False Positives)

Show Answer

Correct Answer: B

Accuracy is a measure of how well a classifier can correctly predict the class of an instance. Accuracy is calculated by dividing the number of correct predictions (true positives and true negatives) by the total number of predictions. True positives are instances that are correctly predicted as positive (belonging to the target class). True negatives are instances that are correctly predicted as negative (not belonging to the target class).

Question No. 5

Workflow design patterns for the machine learning pipelines:

AAim to explain how the machine learning model works.

BRepresent a pipeline with directed acyclic graph (DAG).

CSeek to simplify the management of machine learning features.

DSeparate inputs from features.

Show Answer

Correct Answer: B

Workflow design patterns for machine learning pipelines are common solutions to recurring problems in building and managing machine learning workflows. One of these patterns is to represent a pipeline with a directed acyclic graph (DAG), which is a graph that consists of nodes and edges, where each node represents a step or task in the pipeline, and each edge represents a dependency or order between the tasks. A DAG has no cycles, meaning there is no way to start at one node and return to it by following the edges. A DAG can help visualize and organize the pipeline, as well as facilitate parallel execution, fault tolerance, and reproducibility.