Databricks Certified-Data-Engineer-Professional : Databricks Certified Data Engineer Professional

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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impression led to monitizable clicks.

Which solution would improve the performance?

A)

B)

C)

D)

2. Which of the following is true of Delta Lake and the Lakehouse?

A) Primary and foreign key constraints can be leveraged to ensure duplicate values are never entered into a dimension table.
B) Z-order can only be applied to numeric values stored in Delta Lake tables
C) Because Parquet compresses data row by row. strings will only be compressed when a character is repeated multiple times.
D) Views in the Lakehouse maintain a valid cache of the most recent versions of source tables at all times.
E) Delta Lake automatically collects statistics on the first 32 columns of each table which are leveraged in data skipping based on query filters.

3. Spill occurs as a result of executing various wide transformations. However, diagnosing spill requires one to proactively look for key indicators.
Where in the Spark UI are two of the primary indicators that a partition is spilling to disk?

A) Driver's and Executor's log files
B) Stage's detail screen and Executor's log files
C) Executor's detail screen and Executor's log files
D) Query's detail screen and Job's detail screen
E) Stage's detail screen and Query's detail screen

4. Predictive Optimization is an automated Databricks service enabled by default for Unity Catalog Managed tables. It helps maintain Delta tables by continuously optimizing them to ensure optimal performance and costs. Which two operations does Predictive Optimization run to maintain the Delta tables? (Choose two.)

A) COMPACT
B) PARTITION BY
C) OPTIMIZE
D) BUCKETING
E) ANALYZE

5. A query is taking too long to run. After investigating the Spark UI, the data engineer discovered a significant amount of disk spill. The compute instance being used has a core-to-memory ratio of
1:2. What are the two steps the data engineer should take to minimize spillage? (Choose two.)

A) Choose a compute instance with more disk space.
B) Reduce spark.sql.files.maxPartitionBytes.
C) Increase spark.sql.files.maxPartitionBytes.
D) Choose a compute instance with a higher core-to-memory ratio.
E) Choose a compute instance with more network bandwidth.

Solutions: