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Databricks Certified Data Engineer Professional Sample Questions:

1. 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. Events are recorded once per minute per device.
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) "event_time"
B) window("event_time", "5 minutes").alias("time")
C) lag("event_time", "10 minutes").alias("time")
D) window("event_time", "10 minutes").alias("time")
E) to_interval("event_time", "5 minutes").alias("time")

2. A data engineer is building a Lakeflow Declarative Pipelines pipeline to process healthcare claims data. A metadata JSON file defines data quality rules for multiple tables, including:
{
"claims": [
{"name": "valid_patient_id", "constraint": "patient_id IS NOT NULL"},
{"name": "non_negative_amount", "constraint": "claim_amount >= 0"}
]
}
The pipeline must dynamically apply these rules to the claims table without hardcoding the rules.
How should the data engineer achieve this?

A) Load the JSON metadata, loop through its entries, and apply expectations using dlt.expect_all.
B) Invoke an external API to validate records against the metadata rules.
C) Use a SQL CONSTRAINT block referencing the JSON file path.
D) Reference each expectation with @dlt.expect decorators in the table declaration.

3. A member of the data engineering team has submitted a short notebook that they wish to schedule as part of a larger data pipeline. Assume that the commands provided below produce the logically correct results when run as presented.

Which command should be removed from the notebook before scheduling it as a job?

A) Cmd 3
B) Cmd 6
C) Cmd 2
D) Cmd 5
E) Cmd 4

4. A platform engineer needs to report the resource consumption, categorized by SKU tier, across all workspaces. The engineer decides to use the system.billing.usage system table to create a query. Which SQL query will accurately return the daily usage by product?

A)

B)

C)

D)

5. 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 manage
B) Can Read
C) Can edit
D) Can run

Solutions: