Databricks Certified Associate Developer for Apache Spark Free Practice Exam Questions

195 real Databricks Certified Associate Developer for Apache Spark exam questions with answers and AI explanations. Databricks certification prep — page 17 of 20.

  1. Question 186: A data scientist wants to ingest a directory full of plain text files so that each record in the output DataFrame contains the entire contents of a single file…
  2. Question 187: Which Spark configuration controls the number of tasks that can run in parallel on the executor?
  3. Question 188: How does the Directed Acyclic Graph (DAG) represent the execution hierarchy in Apache Spark™?
  4. Question 189: A data engineer is running a Batch processing job on Spark Cluster with the following configuration: • 10 worker nodes • 16 CPU cores per worker node • 64 GB R…
  5. Question 190: A developer wants to test Spark Connect with an existing Spark application. What are the two alternative ways the developer can start a local Spark Connect ser…
  6. Question 191: Given the code fragment: div_by_2 = my_df.filter(“number % 2 = 0”) print (div_by_2) The output ofthe code fragment is: DataFrame[nunber: bigint] What describes…
  7. Question 192: A data engineer works with streaming data, where records arrive randomly. The engineer needs to de-duplicate records based on order_id while ensuring that the…
  8. Question 193: A data engineer is implementing a streaming pipeline with watermarking to handle late-arriving records. The engineer has written the following code: inputStrea…
  9. Question 194: A Developer is working with a pandas DataFrame containing user behaviour data from a web application. Which approach should be used for executing groupby opera…
  10. Question 195: A Spark engineer must select an appropriate deployment mode for the Spark jobs. What is the benefit of using cluster mode in Apache Spark™?