DP-100 Free Practice Test

- (Exam Topic 3)
You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns:
You need to classify variables by type.
Which variable should you add to each category? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Solution:
References: https://www.edureka.co/blog/classification-algorithms/

Does this meet the goal?

1. A. Yes
2. B. No

Correct Answer: A

- (Exam Topic 3)
You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module to tune accuracy for the model.
You need to select the hyperparameters that should be tuned using the Tune Model Hyperparameters module. Which two hyperparameters should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

1. A. Number of hidden nodes
2. B. Learning Rate
3. C. The type of the normalizer
4. D. Number of learning iterations
5. E. Hidden layer specification

Correct Answer: DE
D: For Number of learning iterations, specify the maximum number of times the algorithm should process the training cases.
E: For Hidden layer specification, select the type of network architecture to create.
Between the input and output layers you can insert multiple hidden layers. Most predictive tasks can be accomplished easily with only one or a few hidden layers.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/two-class-neural-network

- (Exam Topic 1)
You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit.
Which technique should you use?

1. A. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.
2. B. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5.
3. C. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6.
4. D. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15.

Correct Answer: A

Scenario:
Performance curves of current and proposed cost factor scenarios are shown in the following diagram:
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- (Exam Topic 3)
You are performing clustering by using the K-means algorithm. You need to define the possible termination conditions.
Which three conditions can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

1. A. A fixed number of iterations is executed.
2. B. The residual sum of squares (RSS) rises above a threshold.
3. C. The sum of distances between centroids reaches a maximum.
4. D. The residual sum of squares (RSS) falls below a threshold.
5. E. Centroids do not change between iterations.

Correct Answer: ADE
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/k-means-clustering https://nlp.stanford.edu/IR-book/html/htmledition/k-means-1.html