[2026] CertNexus Certified Artificial Intelligence Practitioner (CAIP)

문제1

Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?

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

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

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

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

정답: D

설명: (Fast2test 회원만 볼 수 있음)

문제2

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?

A. Deep neural network

B. SVM

C. Random forest

D. K-nearest neighbors

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제3

When should you use semi-supervised learning? (Select two.)

A. A small set of labeled data is biased toward one class.

B. Labeling data is challenging and expensive.

C. There is a large amount of labeled data to be used for predictions.

D. A small set of labeled data is available but not representative of the entire distribution.

E. There is a large amount of unlabeled data to be used for predictions.

정답: B,E

설명: (Fast2test 회원만 볼 수 있음)

문제4

Your dependent variable Y is a count, ranging from 0 to infinity. Because Y is approximately log-normally distributed, you decide to log-transform the data prior to performing a linear regression.
What should you do before log-transforming Y?

A. Explore the data for outliers.

B. Divide all the Y values by the standard deviation of Y.

C. Add 1 to all of the Y values.

D. Subtract the mean of Y from all the Y values.

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제5

Which of the following describes a typical use case of video tracking?

A. Augmented dreaming

B. Video composition

C. Traffic monitoring

D. Medical diagnosis

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제6

The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier?

A. 48/(48+37)

B. 37/(37+7)

C. 37/(37+8)

D. (48+37)/100

정답: C

설명: (Fast2test 회원만 볼 수 있음)

문제7

Which of the following options is a correct approach for scheduling model retraining in a weather prediction application?

A. Once a month

B. When the input format changes

C. As new resources become available

D. When the input volume changes

정답: B

설명: (Fast2test 회원만 볼 수 있음)

문제8

Which of the following scenarios is an example of entanglement in ML pipelines?

A. Change the way output is visualized in the monitoring step.

B. Change in normalization function in the feature engineering step.

C. Add a new method for drift detection in the model evaluation step.

D. Add a new pipeline for retraining the model in the model training step.

정답: B

설명: (Fast2test 회원만 볼 수 있음)

문제9

Given a feature set with rows that contain missing continuous values, and assuming the data is normally distributed, what is the best way to fill in these missing features?

A. Delete entire columns that contain any missing features.

B. Fill in missing features with the average of observed values for that feature in the entire dataset.

C. Fill in missing features with random values for that feature in the training set.

D. Delete entire rows that contain any missing features.

정답: B

설명: (Fast2test 회원만 볼 수 있음)

문제10

In which of the following scenarios is lasso regression preferable over ridge regression?

A. The number of features is much larger than the sample size.

B. There is high collinearity among some of the features associated with the dependent variable.

C. The sample size is much larger than the number of features.

D. There are many features with no association with the dependent variable.

정답: D

설명: (Fast2test 회원만 볼 수 있음)

CertNexus Certified Artificial Intelligence Practitioner (CAIP) - AIP-210무료 덤프문제 풀어보기

우리와 연락하기

유용한 링크

최신 업데이트