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

Databricks Certified Data Engineer Professional Sample Questions:

1. A Data Engineer is building a fraud detection pipeline that calls out to Open AI, via a Python library, and needs to include an access token when using the API. Which Databricks CLI command should the Data Engineer use to create the secret?

A) databricks tokens put-token SCOPE KEY; dbutils.tokens.get (SCOPE, KEY)
B) databricks secrets put-secret SCOPE KEY; dbutils.secrets.get (SCOPE, KEY)
C) databricks tokens put-token KEY SCOPE; dbutils.secrets.get (KEY, SCOPE)
D) databricks secrets put-secret KEY SCOPE; dbutils.secrets.get (KEY, SCOPE)

2. 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 impressions led to monetizable clicks.
In the code below, Impressions is a streaming DataFrame with a watermark ("event_time", "10 minutes")

The data engineer notices the query slowing down significantly.
Which solution would improve the performance?

A) Joining on event time constraint: clickTime + 3 hours < impressionTime - 2 hours
B) Joining on event time constraint: clickTime == impressionTime using a leftOuter join
C) Joining on event time constraint: clickTime >= impressionTime - interval 3 hours and removing watermarks
D) Joining on event time constraint: clickTime >= impressionTime AND clickTime <= impressionTime interval 1 hour

3. The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?

A) The globally unique ID of the newly triggered run.
B) The job_id and number of times the job has been are concatenated and returned.
C) The job_id is returned in this field.
D) The total number of jobs that have been run in the workspace.
E) The number of times the job definition has been run in the workspace.

4. 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 data files that might include records 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 partitions that might Include files in the filtered range.
D) The Delta Engine will scan the parquet file footers to identify each row that meets the filter criteria.
E) No file skipping will occur because the optimizer does not know the relationship between the partition column and the longitude.

5. A developer has successfully configured their credentials for Databricks Repos and cloned a remote Git repository. They do not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace. Which approach allows this user to share their code updates without the risk of overwriting the work of their teammates?

A) Use repos to create a fork of the remote repository commit all changes and make a pull request on the source repository
B) Use Repos to merge all differences and make a pull request back to the remote repository.
C) Use repos to merge all difference and make a pull request back to the remote repository.
D) Use Repos to pull changes from the remote Git repository; commit and push changes to a branch that appeared as changes were pulled.
E) Use Repos to create a new branch commit all changes and push changes to the remote Git repertory.

Solutions: