[Dec 28, 2023] AIP-210 Dumps Full Questions – Exam Study Guide [Q50-Q70]

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[Dec 28, 2023] AIP-210 Dumps Full Questions – Exam Study Guide

Certified AI Practitioner Free Certification Exam Material from PrepAwayPDF with 92 Questions

NO.50 Which of the following statements are true regarding highly interpretable models? (Select two.)

They are usually binary classifiers.

They are usually easier to explain to business stakeholders.

They are usually referred to as “black box” models.

They are usually very good at solving non-linear problems.

They usually compromise on model accuracy for the sake of interpretability.

NO.51 Which two of the following decrease technical debt in ML systems? (Select two.)

Boundary erosion

Design anti-patterns

Documentation readability

Model complexity

Refactoring

NO.52 Which type of regression represents the following formula: y = c + b*x, where y = estimated dependent variable score, c = constant, b = regression coefficient, and x = score on the independent variable?

Lasso regression

Linear regression

Polynomial regression

Ridge regression

NO.53 A healthcare company experiences a cyberattack, where the hackers were able to reverse-engineer a dataset to break confidentiality.
Which of the following is TRUE regarding the dataset parameters?

The model is overfitted and trained on a high quantity of patient records.

The model is overfitted and trained on a low quantity of patient records.

The model is underfitted and trained on a high quantity of patient records.

The model is underfitted and trained on a low quantity of patient records.

NO.54 You have a dataset with many features that you are using to classify a dependent variable. Because the sample size is small, you are worried about overfitting. Which algorithm is ideal to prevent overfitting?

Decision tree

Logistic regression

Random forest

XGBoost

NO.55 Which of the following metrics is being captured when performing principal component analysis?

Kurtosis

Missingness

Skewness

Variance

NO.56 Which of the following can take a question in natural language and return a precise answer to the question?

Databricks

IBM Watson

Pandas

Spark ML

NO.57 In a self-driving car company, ML engineers want to develop a model for dynamic pathing. Which of following approaches would be optimal for this task?

Dijkstra Algorithm

Reinforcement learning

Supervised Learning.

Unsupervised Learning

NO.58 Your dependent variable data is a proportion. The observed range of your data is 0.01 to 0.99. The instrument used to generate the dependent variable data is known to generate low quality data for values close to 0 and close to 1. A colleague suggests performing a logit-transformation on the data prior to performing a linear regression. Which of the following is a concern with this approach?
Definition of logit-transformation
If p is the proportion: logit(p)=log(p/(l-p))

After logit-transformation, the data may violate the assumption of independence.

Noisy data could become more influential in your model.

The model will be more likely to violate the assumption of normality.

Values near 0.5 before logit-transformation will be near 0 after.

NO.59 Below are three tables: Employees, Departments, and Directors.
Employee_Table

Department_Table

Director_Table
ID
Firstname
Lastname
Age
Salary
DeptJD
4566
Joey
Morin
62
$ 122,000
1
1230
Sam
Clarck
43
$ 95,670
2
9077
Lola
Russell
54
$ 165,700
3
1346
Lily
Cotton
46
$ 156,000
4
2088
Beckett
Good
52
$ 165,000
5
Which SQL query provides the Directors’ Firstname, Lastname, the name of their departments, and the average employee’s salary?

SELECT 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

SELECT 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

SELECT 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

NO.60 An organization sells house security cameras and has asked their data scientists to implement a model to detect human feces, as distinguished from animals, so they can alert th customers only when a human gets close to their house.
Which of the following algorithms is an appropriate option with a correct reason?

A decision tree algorithm, because the problem is a classification problem with a small number of features.

k-means, because this is a clustering problem with a small number of features.

Logistic regression, because this is a classification problem and our data is linearly separable.

Neural network model, because this is a classification problem with a large number of features.

NO.61 A big data architect needs to be cautious about personally identifiable information (PII) that may be captured with their new IoT system. What is the final stage of the Data Management Life Cycle, which the architect must complete in order to implement data privacy and security appropriately?

De-Duplicate

Destroy

Detain

Duplicate

NO.62 Which of the following regressions will help when there is the existence of near-linear relationships among the independent variables (collinearity)?

Clustering

Linear regression

Polynomial regression

Ridge regression

NO.63 Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?

Data as a Service (DaaS) can host the databases providing backups, clustering, and high availability.

Infrastructure as a Service (IaaS) can provide CPU, memory, disk, network and GPU.

Platform as a Service (PaaS) can provide some services within an application such as payment applications to create efficient results.

Software as a Service (SaaS) can provide AI practitioner data science services such as Jupyter notebooks.

NO.64 Which two of the following statements about the beta value in an A/B test are accurate? (Select two.)

The Beta value is the rate of type II errors for the test.

The Beta value is the rate of type I errors for the test.

The statistical power of a test is the inverse of the Beta value, or 1 – Beta.

The Beta in an Alpha/Beta test represents one of the two variants of the A/B test.

NO.65 Which of the following occurs when a data segment is collected in such a way that some members of the intended statistical population are less likely to be included than others?

Algorithmic bias

Sampling bias

Stereotype bias

Systematic value distortion

NO.66 What is Word2vec?

A bag of words.

A matrix of how frequently words appear in a group of documents.

A word embedding method that builds a one-hot encoded matrix from samples and the terms that appear in them.

A word embedding method that finds characteristics of words in a very large number of documents.

NO.67 A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?

Cyberprotection

Cybersecurity

Data privacy

Data security

NO.68 For a particular classification problem, you are tasked with determining the best algorithm among SVM, random forest, K-nearest neighbors, and a deep neural network. Each of the algorithms has similar accuracy on your data. The stakeholders indicate that they need a model that can convey each feature’s relative contribution to the model’s accuracy. Which is the best algorithm for this use case?

Deep neural network

K-nearest neighbors

Random forest

SVM

NO.69 Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

Population estimates

Population regression

Population resampling

Population triage

Population variance

NO.70 Which of the following best describes distributed artificial intelligence?

It does not require hyperparemeter tuning because the distributed nature accounts for the bias.

It intelligently pre-distributes the weight of starting a neural network.

It relies on a distributed system that performs robust computations across a network of unreliable nodes.

It uses a centralized system to speak to decentralized nodes.

CertNexus AIP-210 Exam Syllabus Topics:

Topic	Details
Topic 1	Train, validate, and test data subsets Training and Tuning ML Systems and Models
Topic 2	Transform numerical and categorical data Address business risks, ethical concerns, and related concepts in operationalizing the model
Topic 3	Identify potential ethical concerns Analyze machine learning system use cases
Topic 4	Address business risks, ethical concerns, and related concepts in training and tuning Work with textual, numerical, audio, or video data formats
Topic 5	Design machine and deep learning models Explain data collection transformation process in ML workflow

Dumps Brief Outline Of The AIP-210 Exam: https://www.prepawaypdf.com/CertNexus/AIP-210-practice-exam-dumps.html

[Dec 28, 2023] AIP-210 Dumps Full Questions – Exam Study Guide [Q50-Q70]

CertNexus AIP-210 Exam Syllabus Topics:

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