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Databricks Certified Professional Data Engineer Exam Sample Questions (Q96-Q101):

NEW QUESTION # 96
Which statement regarding stream-static joins and static Delta tables is correct?

A. Each microbatch of a stream-static join will use the most recent version of the static Delta table as of the job's initialization.
B. Stream-static joins cannot use static Delta tables because of consistency issues.
C. The checkpoint directory will be used to track updates to the static Delta table.
D. The checkpoint directory will be used to track state information for the unique keys present in the join.
E. Each microbatch of a stream-static join will use the most recent version of the static Delta table as of each microbatch.

Answer: E

Explanation:
This is the correct answer because stream-static joins are supported by Structured Streaming when one of the tables is a static Delta table. A static Delta table is a Delta table that is not updated by any concurrent writes, such as appends or merges, during the execution of a streaming query. In this case, each microbatch of a stream-static join will use the most recent version of the static Delta table as of each microbatch, which means it will reflect any changes made to the static Delta table before the start of each microbatch. Verified References: [Databricks Certified Data Engineer Professional], under "Structured Streaming" section; Databricks Documentation, under "Stream and static joins" section.

NEW QUESTION # 97
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. Updating the table schema requires a default value provided for each file added.
B. Spark cannot capture the topic partition fields from the kafka source.
C. New fields not be computed for historic records.
D. Updating the table schema will invalidate the Delta transaction log metadata.

Answer: C

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.
References:
* Databricks documentation on Delta Lake schema management: https://docs.databricks.com/delta/delta- batch.html#schema-management

NEW QUESTION # 98
A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in abronzetable created with the propertydelta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:

Which statement describes the execution and results of running the above query multiple times?

A. Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.
B. Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
C. Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
D. Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
E. Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.

Answer: E

Explanation:
Explanation
This is the correct answer because it describes the execution and results of running the above query multiple times. The query uses the readChanges function to read all change events from a bronze table that has enabled change data feed. The readChanges function takes two arguments: version and options. The version argument specifies which version of the table to read changes from, and can be either a specific version number or -1 to indicate all versions. The options argument specifies additional options for reading changes, such as whether to include deletes or not. In this case, the query reads all changes from all versions of the bronze table and filters out delete events by setting includeDeletes to false. Then, it uses write.format("delta").mode("overwrite") to overwrite a target table using the entire history of inserted or updated records, giving the desired result of a Type 1 table representing all values that have ever been valid for all rows in the bronze table. Verified References: [Databricks Certified Data Engineer Professional], under
"Delta Lake" section; Databricks Documentation, under "Read changes in batch queries" section.

NEW QUESTION # 99
Create a schema called bronze using location '/mnt/delta/bronze', and check if the schema exists before creating.

A. CREATE SCHEMA bronze IF NOT EXISTS LOCATION '/mnt/delta/bronze'
B. Schema creation is not available in metastore, it can only be done in Unity catalog UI
C. CREATE SCHEMA IF NOT EXISTS bronze LOCATION '/mnt/delta/bronze'
D. Cannot create schema without a database
E. if IS_SCHEMA('bronze'): CREATE SCHEMA bronze LOCATION '/mnt/delta/bronze'

Answer: C

Explanation:
Explanation
https://docs.databricks.com/sql/language-manual/sql-ref-syntax-ddl-create-schema.html
1.CREATE SCHEMA [ IF NOT EXISTS ] schema_name [ LOCATION schema_directory ]

NEW QUESTION # 100
Which of the following is not a privilege in the Unity catalog?

A. MODIFY
B. EXECUTE
C. CREATE TABLE
D. DELETE
E. SELECT

Answer: D

Explanation:
Explanation
The Answer is DELETE and UPDATE permissions do not exit, you have to use MODIFY which provides both Update and Delete permissions.
Please note: TABLE ACL privilege types are different from Unity Catalog privilege types, please read the question carefully.
Here is the list of all privileges in Unity Catalog:

Unity Catalog Privileges
https://learn.microsoft.com/en-us/azure/databricks/spark/latest/spark-sql/language-manual/sql-ref-privileges#priv Table ACL privileges
https://learn.microsoft.com/en-us/azure/databricks/security/access-control/table-acls/object-privileges#privileges

NEW QUESTION # 101
......

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