PMLE - Week 3

PMLE - Week 3

Professional Development

7 Qs

quiz-placeholder

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PMLE - Week 3

PMLE - Week 3

Assessment

Quiz

Science

Professional Development

Hard

Created by

Supratim Bhattacharya

Used 1+ times

FREE Resource

7 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following refers to the type of data used in ML models?

Labeled data

Flagged data

Unlabeled data

Both Labeled & Unlabeled data

2.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following networks is used in identifying faces, objects, and traffic signs?

Artificial Neural Networks

Recurrent Neural Networks

Convolutional Neural Networks

None of the options are correct

3.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which technique used to generate new data sets based on training data sets. The newly generated data set appears similar to the training data sets.

GANS or Generative Adversarial Networks

CNNs or Convolutional Neural Networks

Clustering

RNNs or Recurrent Neural Networks

4.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following statements is correct for Explainable AI?

It helps you better understand your model's data.

It offers feature attributions to provide insights into why models generate predictions.

It details the importance of one feature that a model uses as input to make predictions.

It supports only pre-trained models based on tabular and image data.

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of the following is not a component of Exploratory Data Analysis?

Accounting and Summarizing

Anomaly Detection

Statistical Analysis and Clustering

Hyperparameter tuning

6.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

MAE, MAPE, RMSE, RMSLE and R2 are all available as test examples in the Evaluate section of Vertex AI and are common examples of what type of metric?

Classification Metrics

Clustering Metrics

Linear Regression Metrics

Decision Trees Progression Metrics

7.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Which of these BigQuery supported classification models is most relevant for predicting binary results, such as True/False?

DNN Classifier (TensorFlow)

XGBoost

Logistic Regression

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