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Authored by Liam Doyle
Mathematics
University - Professional Development
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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which nodes in a standard Databricks cluster perform the processing and computational work?
Driver Nodes
Worker Nodes
Executor Nodes
Standard Nodes
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What transformer must we apply to our features in order to apply a Spark ML random forest regression model on the data?
Regression
Evaluator
Normaliser
Linear Regression
Vector Assembler
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What would we typically use to compare our machine learning model runs in Databricks?
MLFlow Tracking
Model Registry
MLFlow Projects
HyperOpt
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Databricks, by default, runs are shared within the same experiment if...
They use the same model type
They are in the same workspace
They are in the same notebook
They have the same run name
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of Data Frame would be typically used in a Jupyter Notebook within Azure ML?
Java
Pandas
Pyspark
SQL
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of compute would you use for hosting a model to be used in a production Azure ML environment?
Inference Cluster
Local Machine
Compute Cluster
Attached Compute
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of these is a method for normalising data?
Principal Component Analysis
Z-Score
RMSE
K-Means Clustering
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