View the following code samples and place the code in the order needed to perform clustering using Spark ML #1 Perform predictions on test data test_data = spark.read.format("libsvm").load(”test_data.txt") predictions = model.transform(test_data) #2 Create a model and train it kmeans = KMeans().setK(5) model = kmeans.fit(data) #3 Load data data = spark.read.format("libsvm").load(”data.txt")

This answer is correct. First load the data. Next, create the model and train it. And finally, perform predictions on the test data.

Graded Quiz: SparkML » Week 2 » Data Engineering And Machine Learning Using Spark

Q: Select the best definition of a machine learning system.

Yes! This answer is correct! A machine learning system applies a specific machine learning algorithm to train data models. After training the model, the system infers or “predicts” results on previously unseen data.

Q: Which of the following options are true about Spark ML inbuilt utilities?

This answer is correct. Spark ML utilities help during the intermediate steps of data processing, cleaning, and building models.

Q: Select the statements that are true about Spark’s support for machine learning data sources.

This answer is correct. LIBSVM loads the ”libsvm” data files and creates a DataFrame with two columns including the feature vector and label.

Q: How do you perform supervised machine learning classification on Apache Spark?

This answer is correct. Spark MLib provides the spark.ml.classification library for classifications.

Q: Select the statements that are true for classification using Apache Spark.

This answer is correct. Producing a prediction from a discrete set of possible outcomes from the task is called classification.

Q: Select the statements that are true about regression using Apache Spark ML.

This answer is correct. Regression is a form of an implicit function approximation where the model predicts real valued outputs for a given input.

Q: Select the answers that correctly fill in the blank. Unsupervised learning _________.

This answer is correct. Unsupervised learning automatically learns patterns and latent spaces in the data.

Q: Select the answer that correctly fills in the blank. The Spark MLlib provides a clustering library located at _______________

This answer is correct. The Spark MLlib provides a clustering library located at (spark.ml.clustering).

Q: Select the clustering algorithms for which Spark MLlib provides functions.

This answer is correct. The Spark MLlib provides functions for Latent Dirichlet Allocation.

Practice More Quizzes:

Data Engineering and Machine Learning using Spark

Practice Quiz: Spark for Data Engineering

6 Questions Week 1

Graded Quiz: Spark for Data Engineering

10 Questions Week 1

Practice Quiz: SparkML

5 Questions Week 2

Select the clustering algorithms for which Spark MLlib provides functions.

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Graded Quiz: SparkML

Q:

Select the best definition of a machine learning system.

Q:

Which of the following options are true about Spark ML inbuilt utilities?

Q:

Select the statements that are true about Spark’s support for machine learning data sources.

Q:

How do you perform supervised machine learning classification on Apache Spark? ​

Q:

Select the statements that are true for classification using Apache Spark.

Q:

Select the statements that are true about regression using Apache Spark ML.

Q:

Select the answers that correctly fill in the blank. Unsupervised learning _________.

Q:

Q:

Select the answer that correctly fills in the blank. The Spark MLlib provides a clustering library located at _______________

Q:

Select the clustering algorithms for which Spark MLlib provides functions.

How do you perform supervised machine learning classification on Apache Spark?