AIP-210試験無料問題集（95題）「CertNexus Certified Artificial Intelligence Practitioner (CAIP) 認定」

出題：1

Which of the following tools would you use to create a natural language processing application?

A. DeepDream

B. Azure Search

C. NLTK

D. AWS DeepRacer

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

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?

A. XGBoost

B. Decision tree

C. Random forest

D. Logistic regression

正解：C 解答を投票する

出題：3

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?

A. Destroy

B. Detain

C. Duplicate

D. De-Duplicate

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

An AI practitioner incorporates risk considerations into a deployment plan and decides to log and store historical predictions for potential, future access requests.
Which ethical principle is this an example of?

A. Safety

B. Transparency

C. Fairness

D. Privacy

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

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?

A. Lasso regression

B. Linear regression

C. Ridge regression

D. Polynomial regression

正解：B 解答を投票する

出題：6

You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?

A. Ridge regression

B. Random forest

C. Deep learning neural network

D. Support-vector machine

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

Which of the following is a type 1 error in statistical hypothesis testing?

A. The null hypothesis is true and fails to be rejected.

B. The null hypothesis is true, but is rejected.

C. The null hypothesis is false, but fails to be rejected.

D. The null hypothesis is false and is rejected.

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

Which of the following are true about the transform-design pattern for a machine learning pipeline? (Select three.) It aims to separate inputs from features.

A. It ensures reproducibility.

B. It seeks to isolate individual steps of ML pipelines.

C. It represents steps in the pipeline with a directed acyclic graph (DAG).

D. It encapsulates the processing steps of ML pipelines.

E. It transforms the output data after production.

正解：A,B,D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

What is the open framework designed to help detect, respond to, and remediate threats in ML systems?

A. Threat Susceptibility Matrix

B. Adversarial ML Threat Matrix

C. MITRE ATTandCK Matrix

D. OWASP Threat and Safeguard Matrix

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：10

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

A. As new resources become available

B. Once a month

C. When the input volume changes

D. When the input format changes

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

AIP-210試験無料問題集「CertNexus Certified Artificial Intelligence Practitioner (CAIP) 認定」