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最新的 Databricks Certification Databricks-Certified-Professional-Data-Engineer 免費考試真題 (Q146-Q151):

問題 #146
A nightly job ingests data into a Delta Lake table using the following code:

The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline.
Which code snippet completes this function definition?
def new_records():

A. return spark.read.option( " readChangeFeed " , " true " ).table ( " bronze " )
B.
C.
D. return spark.readStream.load( " bronze " )
E. return spark.readStream.table( " bronze " )

答案：C

解題說明：
https://docs.databricks.com/en/delta/delta-change-data-feed.html

問題 #147
A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data.
Which statement is applicable for Lakehouse Federations to maintain data consistency?

A. Federation creates local copies that must be manually refreshed.
B. Federation provides read-only access that reflects the current state of source systems.
C. A separate data synchronization service must be deployed.
D. Federation implements change data capture (CDC) from all sources.

答案：B

解題說明：
Lakehouse Federation allows Databricks to query and manage external data sources through a single governance layer, without moving or copying data . The documentation specifies that "Federated queries provide read-only access to data, reflecting the current state of the underlying source system." This ensures consistency across teams since all users access the same source of truth directly from the external system through Unity Catalog. Federation does not perform CDC replication or local caching; it queries live data on demand. Hence, option A accurately represents how Lakehouse Federation maintains consistency across federated sources.

問題 #148
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?

A. Other than the default "admins" group, only individual users can be granted privileges on jobs.
B. The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
C. Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.
D. A user can only transfer job ownership to a group if they are also a member of that group.
E. Only workspace administrators can grant "Owner" privileges to a group.

答案：C

解題說明：
The reason why the junior data engineer cannot transfer "Owner" privileges to the "DevOps" group is that Databricks jobs must have exactly one owner, and the owner must be an individual user, not a group. A job cannot have more than one owner, and a job cannot have a group as an owner. The owner of a job is the user who created the job, or the user who was assigned the ownership by another user. The owner of a job has the highest level of permission on the job, and can grant or revoke permissions to other users or groups. However, the owner cannot transfer the ownership to a group, only to another user. Therefore, the junior data engineer's attempt to transfer "Owner" privileges to the "DevOps" group is not possible. References:
* Jobs access control: https://docs.databricks.com/security/access-control/table-acls/index.html
* Job permissions:
https://docs.databricks.com/security/access-control/table-acls/privileges.html#job-permissions

問題 #149
If you create a database sample_db with the statement CREATE DATABASE sample_db what will be the default location of the database in DBFS?

A. Default Location, dbfs:/user/hive/warehouse
B. Statement fails "Unable to create database without location"
C. Default Storage account
D. Default location, DBFS:/user/
E. Default location, /user/db/

答案：A

解題說明：
Explanation
The Answer is dbfs:/user/hive/warehouse this is the default location where spark stores user data-bases, the default can be changed using spark.sql.warehouse.dir a parameter. You can also provide a custom location using the LOCATION keyword.
Here is how this works,
Graphical user interface, text, application, email Description automatically generated

Default location

FYI, This can be changed used using cluster spark config or session config.
Modify spark.sql.warehouse.dir location to change the default location
Graphical user interface, text, application Description automatically generated

問題 #150
A data engineering team is configuring access controls in Databricks Unity Catalog. They grant the SELECT privilege on the sales catalog to the analyst_group, expecting that members of this group will automatically have SELECT access to all current and future schemas, tables, and views within the catalog.
What describes the privilege inheritance behavior in Unity Catalog?

A. Granting SELECT on a catalog automatically applies SELECT to all current and future schemas, tables, and views within that catalog.
B. Granting SELECT at the catalog level applies to existing schemas and tables but not to those created in the future.
C. Privileges in Unity Catalog do not cascade; SELECT must be explicitly granted on each schema and table, even if granted at the catalog level.
D. Privileges granted at the schema level override any catalog-level privileges and prevent access unless explicitly revoked.

答案：C

解題說明：
Comprehensive and Detailed Explanation From Exact Extract of Databricks Data Engineer Documents:
In Unity Catalog, privileges are non-cascading-meaning that granting a privilege (like SELECT) on a catalog does not automatically grant the same privilege on contained objects (schemas, tables, or views). Each object type has its own independent access control hierarchy.
According to the Databricks access control documentation: "Privileges do not automatically cascade from catalog to schema or table levels." Administrators must explicitly grant privileges on each level if users need access across objects. This design ensures tighter governance and least-privilege enforcement. Therefore, option B correctly describes Unity Catalog's privilege model, while A and D incorrectly imply automatic inheritance.

問題 #151
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