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Databricks Certified Data Engineer Professional Sample Questions:
1. A junior data engineer is working to implement logic for a Lakehouse table named silver_device_recordings. The source data contains 100 unique fields in a highly nested JSON Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from structure.
The silver_device_recordings table will be used downstream for highly selective joins on a number of fields, and will also be leveraged by the machine learning team to filter on a handful of relevant fields, in total, 15 fields have been identified that will often be used for filter and join logic.
The data engineer is trying to determine the best approach for dealing with these nested fields before declaring the table schema.
Which of the following accurately presents information about Delta Lake and Databricks that may Impact their decision-making process?
A) Because Delta Lake uses Parquet for data storage, Dremel encoding information for nesting can be directly referenced by the Delta transaction log.
B) Schema inference and evolution on Databricks ensure that inferred types will always accurately match the data types used by downstream systems.
C) By default Delta Lake collects statistics on the first 32 columns in a table; these statistics are leveraged for data skipping when executing selective queries.
D) Tungsten encoding used by Databricks is optimized for storing string data: newly-added native support for querying JSON strings means that string types are always most efficient.
2. A DLT pipeline includes the following streaming tables:
Raw_lot ingest raw device measurement data from a heart rate tracking device. Bgm_stats incrementally computes user statistics based on BPM measurements from raw_lot. How can the data engineer configure this pipeline to be able to retain manually deleted or updated records in the raw_iot table while recomputing the downstream table when a pipeline update is run?
A) Set the pipelines, reset, allowed property to false on bpm_stats
B) Set the SkipChangeCommits flag to true raw_lot
C) Set the pipelines, reset, allowed property to false on raw_iot
D) Set the skipChangeCommits flag to true on bpm_stats
3. A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:
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Which statement describes the execution and results of running the above query multiple times?
A) Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
B) Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
C) Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.
D) Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.
E) Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
4. A data engineer is testing a collection of mathematical functions, one of which calculates the area under a curve as described by another function.
Which kind of the test does the above line exemplify?
A) End-to-end
B) Manual
C) Integration
D) functional
E) Unit
5. A distributed team of data analysts share computing resources on an interactive cluster with autoscaling configured. In order to better manage costs and query throughput, the workspace administrator is hoping to evaluate whether cluster upscaling is caused by many concurrent users or resource-intensive queries.
In which location can one review the timeline for cluster resizing events?
A) Driver's log file
B) Workspace audit logs
C) Cluster Event Log
D) Ganglia
E) Executor's log file
Solutions:
Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: E | Question # 4 Answer: E | Question # 5 Answer: C |
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