Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

Convert the list of configuration values to a dictionary of table settings, using table names as keys.

Convert the list of configuration values to a dictionary of table settings, using different input the for loop.

Load the configuration values for these tables from a separate file, located at a path provided by a pipeline parameter.

Wrap the loop inside another table definition, using generalized names and properties to replace with those from the inner table

All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.

All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.

Results will be computed and cached when the table is defined; these cached results will incrementally update as new records are inserted into source tables.

All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.

The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.

userLookup.join(streamingDF, ["userid"], how="inner")

streamingDF.join(userLookup, ["user_id"], how="outer")

streamingDF.join(userLookup, ["user_id”], how="left")

streamingDF.join(userLookup, ["userid"], how="inner")

userLookup.join(streamingDF, ["user_id"], how="right")