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Databricks-Machine-Learning-Associate Dumps With Exact Questions and Answers

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Databricks-Machine-Learning-Associate Questions and Answers

Question # 1

Which of the following machine learning algorithms typically uses bagging?

A.

IGradient boosted trees

B.

K-means

C.

Random forest

D.

Decision tree

Question # 2

A data scientist has developed a machine learning pipeline with a static input data set using Spark ML, but the pipeline is taking too long to process. They increase the number of workers in the cluster to get the pipeline to run more efficiently. They notice that the number of rows in the training set after reconfiguring the cluster is different from the number of rows in the training set prior to reconfiguring the cluster.

Which of the following approaches will guarantee a reproducible training and test set for each model?

A.

Manually configure the cluster

B.

Write out the split data sets to persistent storage

C.

Set a speed in the data splitting operation

D.

Manually partition the input data

Question # 3

A data scientist is wanting to explore the Spark DataFrame spark_df. The data scientist wants visual histograms displaying the distribution of numeric features to be included in the exploration.

Which of the following lines of code can the data scientist run to accomplish the task?

A.

spark_df.describe()

B.

dbutils.data(spark_df).summarize()

C.

This task cannot be accomplished in a single line of code.

D.

spark_df.summary()

E.

dbutils.data.summarize (spark_df)

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