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Databricks Certified Data Engineer Professional Sample Questions:

1. The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs Ul. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic. What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

A) Can Read
B) Can manage
C) Can run
D) Can edit

2. A Delta Lake table representing metadata about content posts from users has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT,
latitude FLOAT, post_time TIMESTAMP, date DATE
This table is partitioned by the date column. A query is run with the following filter:
longitude < 20 & longitude > -20
Which statement describes how data will be filtered?

A) Statistics in the Delta Log will be used to identify partitions that might Include files in the filtered range.
B) The Delta Engine will use row-level statistics in the transaction log to identify the flies that meet the filter criteria.
C) Statistics in the Delta Log will be used to identify data files that might include records in the filtered range.
D) No file skipping will occur because the optimizer does not know the relationship between the partition column and the longitude.
E) The Delta Engine will scan the parquet file footers to identify each row that meets the filter criteria.

3. A junior data engineer has been asked to develop a streaming data pipeline with a grouped aggregation using DataFrame df. The pipeline needs to calculate the average humidity and average temperature for each non-overlapping five-minute interval. Incremental state information should be maintained for 10 minutes for late-arriving data.
Streaming DataFrame df has the following schema:
"device_id INT, event_time TIMESTAMP, temp FLOAT, humidity FLOAT"
Code block:

Choose the response that correctly fills in the blank within the code block to complete this task.

A) awaitArrival("event_time", "10 minutes")
B) withWatermark("event_time", "10 minutes")
C) await("event_time + `10 minutes'")
D) delayWrite("event_time", "10 minutes")
E) slidingWindow("event_time", "10 minutes")

4. A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.
The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

A) Yes; both of the streams can share a single checkpoint directory.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
B) No; Delta Lake manages streaming checkpoints in the transaction log.
C) Yes; Delta Lake supports infinite concurrent writers.
D) No; each of the streams needs to have its own checkpoint directory.
E) No; only one stream can write to a Delta Lake table.

5. A user wants to use DLT expectations to validate that a derived table report contains all records from the source, included in the table validation_copy.
The user attempts and fails to accomplish this by adding an expectation to the report table definition.
Which approach would allow using DLT expectations to validate all expected records are present in this table?

A) Define a SQL UDF that performs a left outer join on two tables, and check if this returns null values for report key values in a DLT expectation for the report table.
B) Define a temporary table that perform a left outer join on validation_copy and report, and define an expectation that no report key values are null
C) Define a view that performs a left outer join on validation_copy and report, and reference this view in DLT expectations for the report table
D) Define a function that performs a left outer join on validation_copy and report and report, and check against the result in a DLT expectation for the report table

Solutions: