DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK · Question #26
DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Question #26: Real Exam Question with Answer & Explanation
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Question
The code block shown below contains an error. The code block is intended to cache DataFrame storesDF only in Spark's memory and then return the number of rows in the cached DataFrame. Identify the error. Code block: storesDF.cache().count()
Options
- AThe cache() operation caches DataFrames at the MEMORY_AND_DISK level by default - the
- BThe cache() operation caches DataFrames at the MEMORY_AND_DISK level by default - the
- CThe storesDF DataFrame has not been checkpointed - it must have a checkpoint in order to be
- DDataFrames themselves cannot be cached - DataFrame storesDF must be cached as a table.
- EThe cache() operation can only cache DataFrames at the MEMORY_AND_DISK level (the
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