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

質問 1

A product manager is designing an Artificial Intelligence (AI) solution and wants to do so responsibly, evaluating both positive and negative outcomes.
The team creates a shared taxonomy of potential negative impacts and conducts an assessment along vectors such as severity, impact, frequency, and likelihood.
Which modeling technique does this team use?

（A）Threat

（B）Process

（C）Harms

（D）Business

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?

（A）Incident

（B）Configuration Management

（C）Asset

（D）Code Repository

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

An AI system recommends New Year's resolutions. It has an ML pipeline without monitoring components.
What retraining strategy would be BEST for this pipeline?

（A）When data drift is detected

（B）Periodically every year

（C）When concept drift is detected

（D）Periodically before New Year's Day and after New Year's Day

正解：B 解答を投票する

質問 4

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）Logistic regression

（B）Decision tree

（C）Random forest

（D）XGBoost

正解：C 解答を投票する

質問 5

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

（A）Threat Susceptibility Matrix

（B）OWASP Threat and Safeguard Matrix

（C）MITRE ATTandCK Matrix

（D）Adversarial ML Threat Matrix

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 6

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))

（A）Noisy data could become more influential in your model.

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

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

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

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 7

An HR solutions firm is developing software for staffing agencies that uses machine learning.
The team uses training data to teach the algorithm and discovers that it generates lower employability scores for women. Also, it predicts that women, especially with children, are less likely to get a high-paying job.
Which type of bias has been discovered?

（A）Technical

（B）Emergent

（C）Preexisting

（D）Automation

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 8

The graph is an elbow plot showing the inertia or within-cluster sum of squares on the y-axis and number of clusters (also called K) on the x-axis, denoting the change in inertia as the clusters change using k-means algorithm.
What would be an optimal value of K to ensure a good number of clusters?

（A）3

（B）5

（C）9

（D）2

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 9

When should the model be retrained in the ML pipeline?

（A）Concept drift is detected in the pipeline.

（B）A new monitoring component is added.

（C）Some outliers are detected in live data.

（D）More data become available for the training phase.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 10

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

（B）Delete entire rows that contain any missing features.

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

（D）Delete entire columns that contain any missing features.

正解：A 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

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

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