CertLakeDatabricks Cert Prep

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Apache Spark Architecture and Components15 cards

Caching and Storage Levels2 Driver and Executors2 Fault Recovery1 Narrow and Wide Transformations1 Partitioning1 Shuffling1 Slots and Parallelism1 Spark Modules4 Stages and Tasks1 Transformations and Actions1

Developing Apache Spark DataFrame/DataSet API Applications24 cards

Aggregations2 Collecting and Converting1 Complex Types1 Dates2 Deduplication and Validation2 Joins3 Reading Data1 Schema2 Selecting and Filtering1 Shared Variables1 Temporary Views1 Transformations2 UDF2 Window Functions2 Writing Data1

Using Pandas API on Apache Spark5 cards

Conversion1 Differences1 Distribution1 Pandas UDF1 Use Cases1

Using Spark Connect to deploy applications4 cards

Deployment Modes1 Development Workflow1 Thin Client2

Using Spark SQL15 cards

Data Sources3 Distinct1 Functions1 Grouping1 Insert1 Joins2 Managed and External Tables1 Persistent Tables2 Sorting1 SQL on Files1 Views1

Structured Streaming8 cards

Checkpoints1 Engine Fundamentals1 Output Modes1 Streaming Deduplication1 Streaming Operations1 Streaming Sinks1 Streaming Sources1 Triggers1

Troubleshooting and Tuning Apache Spark DataFrame API Applications8 cards

AQE1 Broadcast Joins1 Caching1 Data Skew1 Explain Plans1 Logging and Monitoring1 Long-Running Queries1 Partition Tuning1