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Data Engineering
Unit 1
Azure Data Engineer
Azure Data Factory
Azure SQL Database
Azure Synapse Analytics
Azure Cosmos DB
Azure Data Lake Storage
Unit 2
Pyspark
Introduction to Pyspark
Working with DataFrames in Pyspark
Data Processing and Analysis with Pyspark
Machine Learning with Pyspark
Optimizing Pyspark Performance
Unit 3
SQL
Introduction to SQL
Data Retrieval with SQL
Data Manipulation with SQL
Unit 2 • Chapter 4
Machine Learning with Pyspark
Summary
Concept Check
What is a common algorithm used for classification in Pyspark Machine Learning?
Random Forest
Decision Tree
Support Vector Machine
K-Means
What does the term feature engineering refer to in Pyspark Machine Learning?
Tuning hyperparameters
Creating new input features from existing data
Selecting the target variable
Evaluating model performance
Which evaluation metric is commonly used for regression tasks in Pyspark Machine Learning?
Precision
Mean Squared Error
Accuracy
F1 Score
What is the purpose of cross-validation in Pyspark Machine Learning?
Estimating the model's performance on unseen data
Training the model on multiple datasets
Testing the model on the training data
Adjusting the learning rate during training
In Pyspark Machine Learning, what is an ensemble method used for improving model performance?
Principal Component Analysis
Lasso Regression
Logistic Regression
Gradient Boosting
Check Answer
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Data Processing and Analysis with Pyspark
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Optimizing Pyspark Performance