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MLOps Quiz

Authored by Dr. 2305

Professional Development

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MLOps Quiz
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of K-Fold Cross-Validation?

To measure the precision of a model

To package ML models for deployment

To divide the dataset into k equal-sized folds for training and testing

To evaluate the model's performance on a single test set

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is used to measure the accuracy of positive predictions in a binary classification task?

AUC

Precision

F-Score

Recall

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Matthews Correlation Coefficient (MCC) measure?

The area under the ROC curve

The balance of a binary classification model's performance

The purity of clustering results

The average accuracy of a model

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main goal of the Turing Test?

To measure the performance of clustering algorithms

To assess a machine's ability to exhibit intelligent behavior indistinguishable from a human

To compare human and machine translation quality

To evaluate the accuracy of machine learning models

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the Silhouette Coefficient indicate?

The effectiveness of A/B testing

The performance of a model in real-time inference

The quality of clustering by measuring intra-cluster and nearest-cluster distances

The overall accuracy of a model

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method is used for real-time model inference?

A/B Testing

K-Fold Cross-Validation

Model Streaming

Batch Testing

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using SHAP in machine learning?

To evaluate the quality of clustering

To package models for deployment

To measure the performance of A/B testing

To explain the output of machine learning models

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