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 19 of 20.

  1. Question 206: A data scientist is working on a project that requires processing large amounts of structured data, performing SQL queries, and applying machine learning algor…
  2. Question 207: A developer wants to refactor some older Spark code in order to take advantage of built-in functions introduced in Spark 3.5.0. The developer comes across the…
  3. Question 208: A data engineer needs to control the size of micro-batches when running with the option of Available-now micro-batch. Which trigger should the engineer use?
  4. Question 209: A data engineer is working on num_df DataFrame: num_df = spark.range(5).toDF(“num”) The engineer is using the Python UDF: def cubefunc(val): return val ** 3 Wh…
  5. Question 210: If Spark is running in cluster mode, which of the following statements about nodes is incorrect?
  6. Question 211: Which of the following operations calculates the simple average of a group of values, like a column?
  7. Question 212: Which of the following code blocks writes DataFrame storesDF to file path filePath as parquet overwriting any existing files in that location?
  8. Question 213: The code block shown below should return a new DataFrame from DataFrame storesDF where column storeId is of the type string. Choose the response that correctly…
  9. Question 214: Which of the following code blocks returns a new DataFrame from DataFrame storesDF where column modality is the constant string "PHYSICAL"? Assume DataFrame st…
  10. Question 215: The code block shown below contains an error. The code block is intended to print the schema of DataFrame storesDF. Identify the error. Code block: storesDF.pr…