Databricks-Certified-Professional-Data-Engineer Dumps - Databricks Certified Data Engineer Professional Exam Practice Exam Questions

A.  

Decrease the trigger interval to 5 seconds; triggering batches more frequently allows idle executors to begin processing the next batch while longer running tasks from previous batches finish.

B.  

Increase the trigger interval to 30 seconds; setting the trigger interval near the maximum execution time observed for each batch is always best practice to ensure no records are dropped.

C.  

The trigger interval cannot be modified without modifying the checkpoint directory; to maintain the current stream state, increase the number of shuffle partitions to maximize parallelism.

D.  

Use the trigger once option and configure a Databricks job to execute the query every 10 seconds; this ensures all backlogged records are processed with each batch.

E.  

Decrease the trigger interval to 5 seconds; triggering batches more frequently may prevent records from backing up and large batches from causing spill.

A.  

Use Auto Loader to subscribe to new files in the account history directory; configure a Structured Streaminq trigger once job to batch update newly detected files into the account current table.

B.  

Overwrite the account current table with each batch using the results of a query against the account history table grouping by user id and filtering for the max value of last updated.

C.  

Filter records in account history using the last updated field and the most recent hour processed, as well as the max last iogin by user id write a merge statement to update or insert the most recent value for each user id.

D.  

Use Delta Lake version history to get the difference between the latest version of account history and one version prior, then write these records to account current.

E.  

Filter records in account history using the last updated field and the most recent hour processed, making sure to deduplicate on username; write a merge statement to update or insert the

most recent value for each username.

A.  

All records are cached to an operational database and then the filter is applied

B.  

The Parquet file footers are scanned for min and max statistics for the latitude column

C.  

All records are cached to attached storage and then the filter is applied

D.  

The Delta log is scanned for min and max statistics for the latitude column

E.  

The Hive metastore is scanned for min and max statistics for the latitude column