Databricks Databricks-Certified-Professional-Data-Engineer Dumps Questions Answers

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Databricks Databricks-Certified-Professional-Data-Engineer Frequently Asked Questions

Databricks Databricks-Certified-Professional-Data-Engineer Sample Questions

Question # 1

The data governance team has instituted a requirement that all tables containing PersonalIdentifiable Information (PH) must be clearly annotated. This includes adding columncomments, table comments, and setting the custom table property"contains_pii" = true.The following SQL DDL statement is executed to create a new table: Which command allows manual confirmation that these three requirements have been met?

A. DESCRIBE EXTENDED dev.pii test
B. DESCRIBE DETAIL dev.pii test
C. SHOW TBLPROPERTIES dev.pii test
D. DESCRIBE HISTORY dev.pii test
E. SHOW TABLES dev

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Question # 2

An upstream system is emitting change data capture (CDC) logs that are being written to acloud object storage directory. Each record in the log indicates the change type (insert,update, or delete) and the values for each field after the change. The source table has aprimary key identified by the fieldpk_id.For auditing purposes, the data governance team wishes to maintain a full record of allvalues that have ever been valid in the source system. For analytical purposes, only themost recent value for each record needs to be recorded. The Databricks job to ingest theserecords occurs once per hour, but each individual record may have changed multiple timesover the course of an hour.Which solution meets these requirements?

A. Create a separate history table for each pk_id resolve the current state of the table byrunning a union all filtering the history tables for the most recent state.
B. Use merge into to insert, update, or delete the most recent entry for each pk_id into abronze table, then propagate all changes throughout the system.
C. Iterate through an ordered set of changes to the table, applying each in turn; rely onDelta Lake's versioning ability to create an audit log.
D. Use Delta Lake's change data feed to automatically process CDC data from an externalsystem, propagating all changes to all dependent tables in the Lakehouse.
E. Ingest all log information into a bronze table; use merge into to insert, update, or deletethe most recent entry for each pk_id into a silver table to recreate the current table state.

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Question # 3

Which configuration parameter directly affects the size of a spark-partition upon ingestionof data into Spark?

A. spark.sql.files.maxPartitionBytes
B. spark.sql.autoBroadcastJoinThreshold
C. spark.sql.files.openCostInBytes
D. spark.sql.adaptive.coalescePartitions.minPartitionNum
E. spark.sql.adaptive.advisoryPartitionSizeInBytes

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Question # 4

A production cluster has 3 executor nodes and uses the same virtual machine type for thedriver and executor.When evaluating the Ganglia Metrics for this cluster, which indicator would signal abottleneck caused by code executing on the driver?

A. The five Minute Load Average remains consistent/flat
B. Bytes Received never exceeds 80 million bytes per second
C. Total Disk Space remains constant
D. Network I/O never spikes
E. Overall cluster CPU utilization is around 25%

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Question # 5

A junior data engineer on your team has implemented the following code block. The viewnew_eventscontains a batch of records with the same schema as theeventsDeltatable. Theevent_idfield serves as a unique key for this table.When this query is executed, what will happen with new records that have thesameevent_idas an existing record?

A. They are merged.
B. They are ignored.
C. They are updated.
D. They are inserted.
E. They are deleted.

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Question # 6

A user new to Databricks is trying to troubleshoot long execution times for some pipelinelogic they are working on. Presently, the user is executing code cell-by-cell, usingdisplay()calls to confirm code is producing the logically correct results as new transformations areadded to an operation. To get a measure of average time to execute, the user is runningeach cell multiple times interactively.Which of the following adjustments will get a more accurate measure of how code is likelyto perform in production?

A. Scala is the only language that can be accurately tested using interactive notebooks; because the best performance is achieved by using Scala code compiled to JARs. all PySpark and Spark SQL logic should be refactored.
B. The only way to meaningfully troubleshoot code execution times in developmentnotebooks Is to use production-sized data and production-sized clusters with Run Allexecution.
C. Production code development should only be done using an IDE; executing codeagainst a local build of open source Spark and Delta Lake will provide the most accuratebenchmarks for how code will perform in production.
D. Calling display () forces a job to trigger, while many transformations will only add to thelogical query plan; because of caching, repeated execution of the same logic does notprovide meaningful results.
E. The Jobs Ul should be leveraged to occasionally run the notebook as a job and trackexecution time during incremental code development because Photon can only be enabledon clusters launched for scheduled jobs.

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Question # 7

The viewupdatesrepresents an incremental batch of all newly ingested data to be inserted or updated in thecustomerstable. The following logic is used to process these records. Which statement describes this implementation?

A. The customers table is implemented as a Type 3 table; old values are maintained as anew column alongside the current value.
B. The customers table is implemented as a Type 2 table; old values are maintained butmarked as no longer current and new values are inserted.
C. The customers table is implemented as a Type 0 table; all writes are append only withno changes to existing values.
D. The customers table is implemented as a Type 1 table; old values are overwritten bynew values and no history is maintained.
E. The customers table is implemented as a Type 2 table; old values are overwritten andnew customers are appended.

Show Answer

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