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Download Databricks Certified Professional Data Engineer Exam Exam Dumps

NEW QUESTION 23
Which of the following benefits does Delta Live Tables provide for ELT pipelines over standard data pipelines
that utilize Spark and Delta Lake on Databricks?

A. The ability to declare and maintain data table dependenciesB. The ability to perform batch and streaming queriesC. The ability to write pipelines in Python and/or SQLD. The ability to automatically scale compute resourcesE. The ability to access previous versions of data tables

Answer: A

 

NEW QUESTION 24
Which of the following Structured Streaming queries is performing a hop from a Bronze table to a Silver
table?

A. 1. (spark.table("sales")
2. .agg(sum("sales"),
3. sum("units"))
4. .writeStream
5. .option("checkpointLocation", checkpointPath)
6. .outputMode("complete")
7. .table("aggregatedSales")
8. )B. 1. (spark.read.load(rawSalesLocation)
2. .writeStream
3. .option("checkpointLocation", checkpointPath)
4. .outputMode("append")
5. .table("uncleanedSales")
6. )C. 1. (spark.table("sales")
2. .withColumn("avgPrice", col("sales") / col("units"))
3. .writeStream
4. .option("checkpointLocation", checkpointPath)
5. .outputMode("append")
6. .table("cleanedSales")
7.)D. 1. (spark.readStream.load(rawSalesLocation)
2. .writeStream
3. .option("checkpointLocation", checkpointPath)
4. .outputMode("append")
5. .table("uncleanedSales")
6. )E. 1. (spark.table("sales")
2. .groupBy("store")
3. .agg(sum("sales"))
4. .writeStream
5. .option("checkpointLocation", checkpointPath)
6. .outputMode("complete")
7. .table("aggregatedSales")
8.)

Answer: C

 

NEW QUESTION 25
A data engineer is overwriting data in a table by deleting the table and recreating the table. Another data
engineer suggests that this is inefficient and the table should simply be overwritten instead.
Which of the following reasons to overwrite the table instead of deleting and recreating the table is incorrect?

A. Overwriting a table maintains the old version of the table for Time TravelB. Overwriting a table is efficient because no files need to be deletedC. Overwriting a table is an atomic operation and will not leave the table in an unfinished stateD. Overwriting a table allows for concurrent queries to be completed while in progressE. Overwriting a table results in a clean table history for logging and audit purposes

Answer: E

 

NEW QUESTION 26
......


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