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| Section | Objectives |
|---|---|
| Spark SQL | - Window functions and aggregations - SQL queries on DataFrames and tables |
| Apache Spark Fundamentals | - RDD vs DataFrame vs Dataset concepts - Spark architecture and execution model |
| Data Processing and Performance | - Caching and persistence strategies - Joins and data partitioning - Optimization techniques |
| Data Ingestion and Storage | - Delta Lake basics - Reading and writing data (Parquet, JSON, CSV) |
| DataFrame API with PySpark | - DataFrame creation and schema management - Transformations and actions - Built-in functions and expressions |
| Structured Streaming Basics | - Windowed aggregations in streaming - Streaming DataFrames |
22 of 55.
A Spark application needs to read multiple Parquet files from a directory where the files have differing but compatible schemas.
The data engineer wants to create a DataFrame that includes all columns from all files.
Which code should the data engineer use to read the Parquet files and include all columns using Apache Spark?
Correct Answer: B 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
A developer needs to produce a Python dictionary using data stored in a small Parquet table, which looks like this:
The resulting Python dictionary must contain a mapping of region -> region id containing the smallest 3 region_id values.
Which code fragment meets the requirements?
A)
B)
C)
D)
The resulting Python dictionary must contain a mapping of region -> region_id for the smallest 3 region_id values.
Which code fragment meets the requirements?
Correct Answer: A 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
A data engineer wants to process a streaming DataFrame that receives sensor readings every second with columns sensor_id, temperature, and timestamp. The engineer needs to calculate the average temperature for each sensor over the last 5 minutes while the data is streaming.
Which code implementation achieves the requirement?
Options from the images provided:




Correct Answer: A 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
24 of 55.
Which code should be used to display the schema of the Parquet file stored in the location events.parquet?
Correct Answer: A 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
A data engineer uses a broadcast variable to share a DataFrame containing millions of rows across executors for lookup purposes. What will be the outcome?
Correct Answer: D 🗳️
Explanation: Only visible for Prep4sureGuide members. You can sign-up / login (it's free).
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