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Databricks Associate-Developer-Apache-Spark-3.5 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Apache Spark Architecture and Components | 20% | - Execution and deployment modes - Fault tolerance and garbage collection - Execution hierarchy and lazy evaluation - Shuffling, actions, and broadcasting - Spark architecture overview |
| Structured Streaming | 10% | - Output modes and triggers - Defining streaming queries - Streaming concepts and architecture - Fault tolerance and state management |
| Using Pandas API on Apache Spark | 5% | - Key differences and limitations - Converting between Pandas and Spark structures - Overview of Pandas API on Spark |
| Troubleshooting and Tuning Apache Spark DataFrame API Applications | 10% | - Managing memory and resource usage - Debugging and logging - Optimizing transformations and actions - Identifying performance bottlenecks |
| Developing Apache Spark DataFrame API Applications | 30% | - Reading and writing data in various formats - User-defined functions (UDFs) - Creating DataFrames and defining schemas - Joining and combining datasets - Handling missing values and data quality - Selecting, renaming, and modifying columns - Filtering, sorting, and aggregating data - Partitioning and bucketing data |
| Using Spark Connect to Deploy Applications | 5% | - Spark Connect architecture - Connecting to remote Spark clusters - Running applications via Spark Connect |
| Using Spark SQL | 20% | - Integrating Spark SQL with DataFrames - Using catalog and metadata APIs - Working with functions and expressions - Running SQL queries |
Databricks Certified Associate Developer for Apache Spark 3.5 - Python Sample Questions:
1. 14 of 55.
A developer created a DataFrame with columns color, fruit, and taste, and wrote the data to a Parquet directory using:
df.write.partitionBy("color", "taste").parquet("/path/to/output")
What is the result of this code?
A) It stores all data in a single Parquet file.
B) It throws an error if there are null values in either partition column.
C) It creates separate directories for each unique combination of color and taste.
D) It appends new partitions to an existing Parquet file.
2. A DataFrame df has columns name, age, and salary. The developer needs to sort the DataFrame by age in ascending order and salary in descending order.
Which code snippet meets the requirement of the developer?
A) df.orderBy("age", "salary", ascending=[True, False]).show()
B) df.orderBy(col("age").asc(), col("salary").asc()).show()
C) df.sort("age", "salary", ascending=[True, True]).show()
D) df.sort("age", "salary", ascending=[False, True]).show()
3. A data engineer wants to write a Spark job that creates a new managed table. If the table already exists, the job should fail and not modify anything.
Which save mode and method should be used?
A) save with mode Ignore
B) saveAsTable with mode Overwrite
C) saveAsTable with mode ErrorIfExists
D) save with mode ErrorIfExists
4. 15 of 55.
A data engineer is working on a Streaming DataFrame (streaming_df) with the following streaming data:
id
name
count
timestamp
1
Delhi
20
2024-09-19T10:11
1
Delhi
50
2024-09-19T10:12
2
London
50
2024-09-19T10:15
3
Paris
30
2024-09-19T10:18
3
Paris
20
2024-09-19T10:20
4
Washington
10
2024-09-19T10:22
Which operation is supported with streaming_df?
A) streaming_df.filter("count < 30")
B) streaming_df.select(countDistinct("name"))
C) streaming_df.count()
D) streaming_df.show()
5. A data engineer is running a Spark job to process a dataset of 1 TB stored in distributed storage. The cluster has 10 nodes, each with 16 CPUs. Spark UI shows:
Low number of Active Tasks
Many tasks complete in milliseconds
Fewer tasks than available CPUs
Which approach should be used to adjust the partitioning for optimal resource allocation?
A) Set the number of partitions to a fixed value, such as 200
B) Set the number of partitions equal to the number of nodes in the cluster
C) Set the number of partitions equal to the total number of CPUs in the cluster
D) Set the number of partitions by dividing the dataset size (1 TB) by a reasonable partition size, such as 128 MB
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: D |
