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Databricks Certified Data Engineer Professional Exam Sample Questions (Q118-Q123):

NEW QUESTION # 118
A data pipeline uses Structured Streaming to ingest data from kafka to Delta Lake. Data is being stored in a bronze table, and includes the Kafka_generated timesamp, key, and value. Three months after the pipeline is deployed the data engineering team has noticed some latency issued during certain times of the day.
A senior data engineer updates the Delta Table's schema and ingestion logic to include the current timestamp (as recoded by Apache Spark) as well the Kafka topic and partition. The team plans to use the additional metadata fields to diagnose the transient processing delays.
Which limitation will the team face while diagnosing this problem?

A. Spark cannot capture the topic partition fields from the kafka source.
B. New fields cannot be added to a production Delta table.
C. Updating the table schema requires a default value provided for each file added.
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from
D. New fields not be computed for historic records.
E. Updating the table schema will invalidate the Delta transaction log metadata.

Answer: D

Explanation:
When adding new fields to a Delta table's schema, these fields will not be retrospectively applied to historical records that were ingested before the schema change. Consequently, while the team can use the new metadata fields to investigate transient processing delays moving forward, they will be unable to apply this diagnostic approach to past data that lacks these fields.

NEW QUESTION # 119
Incorporating unit tests into a PySpark application requires upfront attention to the design of your jobs, or a potentially significant refactoring of existing code.
Which statement describes a main benefit that offset this additional effort?

A. Yields faster deployment and execution times
B. Ensures that all steps interact correctly to achieve the desired end result
C. Improves the quality of your data
D. Troubleshooting is easier since all steps are isolated and tested individually
E. Validates a complete use case of your application

Answer: D

Explanation:
Unit tests are small, isolated tests that are used to check specific parts of the code, such as functions or classes.

NEW QUESTION # 120
The data architect has mandated that all tables in the Lakehouse should be configured as external (also known as "unmanaged") Delta Lake tables.
Which approach will ensure that this requirement is met?

A. When the workspace is being configured, make sure that external cloud object storage has been mounted.
B. When data is saved to a table, make sure that a full file path is specified alongside the Delta format.
C. When tables are created, make sure that the EXTERNAL keyword is used in the CREATE TABLE statement.
D. When a database is being created, make sure that the LOCATION keyword is used.
E. When configuring an external data warehouse for all table storage, leverage Databricks for all ELT.

Answer: C

Explanation:
Get Latest & Actual Certified-Data-Engineer-Professional Exam's Question and Answers from To create an external or unmanaged Delta Lake table, you need to use the EXTERNAL keyword in the CREATE TABLE statement. This indicates that the table is not managed by the catalog and the data files are not deleted when the table is dropped. You also need to provide a LOCATION clause to specify the path where the data files are stored.
For example:
CREATE EXTERNAL TABLE events ( date DATE, eventId STRING, eventType STRING, data STRING) USING DELTA LOCATION `/mnt/delta/events'; This creates an external Delta Lake table named events that references the data files in the
`/mnt/delta/events' path. If you drop this table, the data files will remain intact and you can recreate the table with the same statement.

NEW QUESTION # 121
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. delayWrite("event_time", "10 minutes")
B. slidingWindow("event_time", "10 minutes")
C. awaitArrival("event_time", "10 minutes")
D. withWatermark("event_time", "10 minutes")
E. await("event_time + `10 minutes'")

Answer: D

Explanation:
This is because the question asks for incremental state information to be maintained for 10 minutes for late-arriving data. The withWatermark method is used to define the watermark for late data. The watermark is a timestamp column and a threshold that tells the system how long to wait for late data. In this case, the watermark is set to 10 minutes. The other options are incorrect because they are not valid methods or syntax for watermarking in Structured Streaming.

NEW QUESTION # 122
A junior data engineer has manually configured a series of jobs using the Databricks Jobs UI.
Upon reviewing their work, the engineer realizes that they are listed as the "Owner" for each job.
They attempt to transfer "Owner" privileges to the "DevOps" group, but cannot successfully accomplish this task.
Which statement explains what is preventing this privilege transfer?
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A. Other than the default "admins" group, only individual users can be granted privileges on jobs.
B. Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.
C. The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
D. Only workspace administrators can grant "Owner" privileges to a group.
E. A user can only transfer job ownership to a group if they are also a member of that group.

Answer: B

Explanation:
A job cannot have more than one owner. A job cannot have a group as an owner.

NEW QUESTION # 123
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