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Free CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK – Databricks CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Practice Test Question

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Showing 19–21 of 23 questions

Question 19 (Topic 1)

The code block shown below should read a parquet at the file path filePath into a DataFrame. Choose the response that correctly fills in the numbered blanks within the code block to complete this task. Code block: __1__.__2__.__3__(__4__)

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  • ○ 1.spark 2. read() 3. parquet 4. filePath
  • ○ 1. spark 2. read() 3. load 4. filePath
  • ○ 1. spark 2. read 3. load 4. filePath, source = "parquet"
  • ○ 1. storesDF 2. read() 3. load 4. filePath
  • ○ 1. spark 2. read 3. load 4. filePath
Question 20 (Topic 1)

The code block shown below contains an error. The code block is intended to return a new DataFrame where column productCategories only has one word per row, resulting in a DataFrame with many more rows than DataFrame storesDF. Identify the error and how to fix it. A sample of storesDF is displayed below: storesDF.withColumn("productCategories", split(col("productCategories")))

Select an option, then click Submit answer.

  • ○ The split() operation does not accomplish the requested task in the way that it is used. It should be used provided an alias.
  • ○ The split() operation does not accomplish the requested task. The broadcast() operation should be used instead.
  • ○ The split() operation does not accomplish the requested task in the way that it is used. It should be used as a column object method instead.
  • ○ The split() operation does not accomplish the requested task. The explode() operation should be used instead.
  • ○ The split() operation does not accomplish the requested task. The array_distinct() operation should be used instead.
Question 21 (Topic 1)

If Spark is running in cluster mode, which of the following statements about nodes is incorrect?

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  • ○ The Spark driver runs in its own node without any executors.
  • ○ Each executor is a running processing engine inside of a worker node.
  • ○ There may be more executors than total nodes or more total nodes than executors.
  • ○ There is always more than one node.
  • ○ There is a single node that contains the Spark driver and the executors.