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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer is designing a Lakeflow Declarative Pipeline to process streaming order data.
The pipeline uses Auto Loader to ingest data and must enforce data quality by ensuring customer_id and amount are greater than zero. Invalid records should be dropped. Which Lakeflow Declarative Pipelines configurations implement this requirement using Python?

A) @dlt.table
@dlt.expect("valid_customer", "customer_id IS NOT NULL")
@dlt.expect("valid_amount", "amount > 0")
def silver_orders():
return dlt.read_stream("bronze_orders")
B) @dlt.table
def silver_orders():
return (
dlt.read_stream("bronze_orders")
.expect("valid_customer", "customer_id IS NOT NULL")
.expect("valid_amount", "amount > 0")
)
C) @dlt.table
@dlt.expect_or_drop("valid_customer", "customer_id IS NOT NULL")
@dlt.expect_or_drop("valid_amount", "amount > 0")
def silver_orders():
return dlt.read_stream("bronze_orders")
D) @dlt.table
def silver_orders():
return (
dlt.read_stream("bronze_orders")
.expect_or_drop("valid_customer", "customer_id IS NOT NULL")
.expect_or_drop("valid_amount", "amount > 0")
)

2. A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.

Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?

A) Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.
B) Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.
C) One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.
D) The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.
E) The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.

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

4. A CHECK constraint has been successfully added to the Delta table named activity_details using the following logic:

A batch job is attempting to insert new records to the table, including a record where latitude =
45.50 and longitude = 212.67.
Which statement describes the outcome of this batch insert?

A) The write will fail when the violating record is reached; any records previously processed will be recorded to the target table.
B) The write will include all records in the target table; any violations will be indicated in the boolean column named valid_coordinates.
C) The write will fail completely because of the constraint violation and no records will be inserted into the target table.
D) The write will insert all records except those that violate the table constraints; the violating records will be recorded to a quarantine table.
E) The write will insert all records except those that violate the table constraints; the violating records will be reported in a warning log.

5. A Delta Lake table representing metadata about content from user has the following schema:
user_id LONG, post_text STRING, post_id STRING, longitude FLOAT, latitude FLOAT, post_time TIMESTAMP, date DATE Based on the above schema, which column is a good candidate for partitioning the Delta Table?

A) latitude
B) Date
C) Post_id
D) User_id
E) Post_time

Solutions: