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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

1. Which statement describes the correct use of pyspark.sql.functions.broadcast?

A) It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.
B) It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.
C) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.
D) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
E) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.

2. How are the operational aspects of Lakeflow Declarative Pipelines different from Spark Structured Streaming?

A) Lakeflow Declarative Pipelines manage the orchestration of multi-stage pipelines automatically, while Structured Streaming requires external orchestration for complex dependencies.
B) Lakeflow Declarative Pipelines can write to Delta Lake format, while Structured Streaming cannot.
C) Lakeflow Declarative Pipelines automatically handle schema evolution, while Structured Streaming always requires manual schema management.
D) Structured Streaming can process continuous data streams, while Lakeflow Declarative Pipelines cannot.

3. Which REST API call can be used to review the notebooks configured to run as tasks in a multi- task job?

A) /jobs/list
B) /jobs/get
C) /jobs/runs/get
D) /jobs/runs/list
E) /jobs/runs/get-output

4. The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. The recent_sensor_recordings table contains an identifying sensor_id alongside the timestamp and temperature for the most recent 5 minutes of recordings.
The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger when mean (temperature) > 120. Notifications are triggered to be sent at most every 1 minute.
If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?

A) The total average temperature across all sensors exceeded 120 on three consecutive executions of the query
B) The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query
C) The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query
D) The source query failed to update properly for three consecutive minutes and then restarted
E) The recent_sensor_recordingstable was unresponsive for three consecutive runs of the query

5. A large company seeks to implement a near real-time solution involving hundreds of pipelines with parallel updates of many tables with extremely high volume and high velocity data.
Which of the following solutions would you implement to achieve this requirement?

A) Store all tables in a single database to ensure that the Databricks Catalyst Metastore can load balance overall throughput.
B) Use Databricks High Concurrency clusters, which leverage optimized cloud storage connections to maximize data throughput.
C) Configure Databricks to save all data to attached SSD volumes instead of object storage, increasing file I/O significantly.
D) Partition ingestion tables by a small time duration to allow for many data files to be written in parallel.
E) Isolate Delta Lake tables in their own storage containers to avoid API limits imposed by cloud vendors.

Solutions: