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Databricks Certified Data Engineer Professional Sample Questions:

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

A) It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.
B) It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
C) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
D) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.
E) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.

2. The data science team has created and logged a production model using MLflow. The model accepts a list of column names and returns a new column of type DOUBLE.
The following code correctly imports the production model, loads the customers table containing the customer_id key column into a DataFrame, and defines the feature columns needed for the model.

Which code block will output a DataFrame with the schema "customer_id LONG, predictions DOUBLE"?

A) df.select("customer_id", model(*columns).alias("predictions"))
B) df.apply(model, columns).select("customer_id, predictions")
C) df.map(lambda x:model(x[columns])).select("customer_id, predictions")
D) model.predict(df, columns)
E) df.select("customer_id", pandas_udf(model, columns).alias("predictions"))

3. Which statement describes Delta Lake optimized writes?

A) Before a job cluster terminates, OPTIMIZE is executed on all tables modified during the most recent job.
B) A shuffle occurs prior to writing to try to group data together resulting in fewer files instead of each executor writing multiple files based on directory partitions.
C) Optimized writes logical partitions instead of directory partitions partition boundaries are only Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from represented in metadata fewer small files are written.
D) An asynchronous job runs after the write completes to detect if files could be further compacted; yes, an OPTIMIZE job is executed toward a default of 1 GB.

4. Which statement characterizes the general programming model used by Spark Structured Streaming?

A) Structured Streaming is implemented as a messaging bus and is derived from Apache Kafka.
B) Structured Streaming models new data arriving in a data stream as new rows appended to an unbounded table.
C) Structured Streaming uses specialized hardware and I/O streams to achieve sub-second latency for data transfer.
D) Structured Streaming leverages the parallel processing of GPUs to achieve highly parallel data throughput.
E) Structured Streaming relies on a distributed network of nodes that hold incremental state values for cached stages.

5. Each configuration below is identical to the extent that each cluster has 400 GB total of RAM, 160 total cores and only one Executor per VM.
Given a job with at least one wide transformation, which of the following cluster configurations will result in maximum performance?

A) Total VMs: 2
200 GB per Executor
80 Cores / Executor
B) Total VMs: 4
100 GB per Executor
40 Cores/Executor
C) Total VMs: 8
50 GB per Executor
20 Cores / Executor
D) Total VMs: 1
400 GB per Executor
160 Cores / Executor

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