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Databricks Certified Professional Data Engineer Exam Sample Questions (Q213-Q218):

NEW QUESTION # 213
All records from an Apache Kafka producer are being ingested into a single Delta Lake table with the following schema:
key BINARY, value BINARY, topic STRING, partition LONG, offset LONG, timestamp LONG There are 5 unique topics being ingested. Only the "registration" topic contains Personal Identifiable Information (PII). The company wishes to restrict access to PII. The company also wishes to only retain records containing PII in this table for 14 days after initial ingestion. However, for non-PII information, it would like to retain these records indefinitely.
Which of the following solutions meets the requirements?

A. All data should be deleted biweekly; Delta Lake's time travel functionality should be leveraged to maintain a history of non-PII information.
B. Separate object storage containers should be specified based on the partition field, allowing isolation at the storage level.
C. Data should be partitioned by the registration field, allowing ACLs and delete statements to be set for the PII directory.
D. Data should be partitioned by the topic field, allowing ACLs and delete statements to leverage partition boundaries.
E. Because the value field is stored as binary data, this information is not considered PII and no special precautions should be taken.

Answer: D

Explanation:
Partitioning the data by the topic field allows the company to apply different access control policies and retention policies for different topics. For example, the company can use the Table Access Control feature to grant or revoke permissions to the registration topic based on user roles or groups. The company can also use the DELETE command to remove records from the registration topic that are older than 14 days, while keeping the records from other topics indefinitely. Partitioning by the topic field also improves the performance of queries that filter by the topic field, as they can skip reading irrelevant partitions. References:
* Table Access Control: https://docs.databricks.com/security/access-control/table-acls/index.html
* DELETE: https://docs.databricks.com/delta/delta-update.html#delete-from-a-table

NEW QUESTION # 214
Which statement regarding spark configuration on the Databricks platform is true?

A. The Databricks REST API can be used to modify the Spark configuration properties for an interactive cluster without interrupting jobs.
B. Spark configuration properties set for an interactive cluster with the Clusters UI will impact all notebooks attached to that cluster.
C. When the same spar configuration property is set for an interactive to the same interactive cluster.
D. Spark configuration set within an notebook will affect all SparkSession attached to the same interactive cluster

Answer: B

Explanation:
When Spark configuration properties are set for an interactive cluster using the Clusters UI in Databricks, those configurations are applied at the cluster level. This means that all notebooks attached to that cluster will inherit and be affected by these configurations. This approach ensures consistency across all executions within that cluster, as the Spark configuration properties dictate aspects such as memory allocation, number of executors, and other vital execution parameters. This centralized configuration management helps maintain standardized execution environments across different notebooks, aiding in debugging and performance optimization.
References:
* Databricks documentation on configuring clusters: https://docs.databricks.com/clusters/configure.html

NEW QUESTION # 215
Which is a key benefit of an end-to-end test?

A. It closely simulates real world usage of your application.
B. It provides testing coverage for all code paths and branches.
C. It makes it easier to automate your test suite
D. It pinpoint errors in the building blocks of your application.

Answer: A

Explanation:
End-to-end testing is a methodology used to test whether the flow of an application, from start to finish, behaves as expected. The key benefit of an end-to-end test is that it closely simulates real-world, user behavior, ensuring that the system as a whole operates correctly.
:
Software Testing: End-to-End Testing

NEW QUESTION # 216
What are the advantages of the Hashing Features?

A. Requires the less memory
B. Easily reverse engineer vectors to determine which original feature mapped to a vector location
C. Less pass through the training data

Answer: A,C

Explanation:
Explanation
SGD-based classifiers avoid the need to predetermine vector size by simply picking a reasonable size and
shoehorning the training data into vectors of that size. This approach is known as feature hashing. The
shoehorning is done by picking one or more locations by using a hash of the name of the variable for
continuous variables or a hash of the variable name and the category name or word for categorical, text*like, or
word-like data.
This hashed feature approach has the distinct advantage of requiring less memory and one less pass through
the training data, but it can make it much harder to reverse engineer vectors to determine which original
feature mapped to a vector location. This is because multiple features may hash to the same location. With
large vectors or with multiple locations per feature, this isn't a problem for accuracy but it can make it hard to
understand what a classifier is doing.
An additional benefit of feature hashing is that the unknown and unbounded vocabularies typical of word-like
variables aren't a problem.

NEW QUESTION # 217
You have configured AUTO LOADER to process incoming IOT data from cloud object storage every 15 mins, recently a change was made to the notebook code to update the processing logic but the team later realized that the notebook was failing for the last 24 hours, what steps team needs to take to reprocess the data that was not loaded after the notebook was corrected?

A. Move the files that were not processed to another location and manually copy the files into the ingestion path to reprocess them
B. Delete the checkpoint folder and run the autoloader again
C. Enable back_fill = TRUE to reprocess the data
D. Autoloader automatically re-processes data that was not loaded
E. Manually re-load the data

Answer: D

Explanation:
Explanation
The answer is,
Autoloader automatically re-processes data that was not loaded using the checkpoint.

NEW QUESTION # 218
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