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Databricks Certified Data Engineer Professional Sample Questions:

1. An external object storage container has been mounted to the location /mnt/finance_eda_bucket.
The following logic was executed to create a database for the finance team:

After the database was successfully created and permissions configured, a member of the finance team runs the following code:

If all users on the finance team are members of the finance group, which statement describes how the tx_sales table will be created?

A) An managed table will be created in the storage container mounted to /mnt/finance_eda_bucket.
B) A logical table will persist the query plan to the Hive Metastore in the Databricks control plane.
C) A logical table will persist the physical plan to the Hive Metastore in the Databricks control plane.
D) A managed table will be created in the DBFS root storage container.
E) An external table will be created in the storage container mounted to /mnt/finance eda bucket.

2. The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.

Which statement describes this implementation?

A) The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
B) The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
C) The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.
D) The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
E) The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.

3. What is a method of installing a Python package scoped at the notebook level to all nodes in the currently active cluster?

A) Run source env/bin/activate in a notebook setup script
B) Use &sh install in a notebook cell
C) Install libraries from PyPi using the cluster UI
D) Use &Pip install in a notebook cell

4. A data engineer is testing a collection of mathematical functions, one of which calculates the area under a curve as described by another function.
assert(myIntegrate(lambda x: x*x, 0, 3) [0] == 9)
Which kind of the test does the above line exemplify?

A) End-to-end
B) functional
C) Integration
D) Unit
E) Manual

5. A data engineer is designing a secure data sharing strategy for their organization. The company needs to share sensitive customer analytics data with two different partners. Partner A uses Databricks with Unity Catalog enabled, while Partner B uses Apache Spark on AWS without Databricks. How should the company implement secure data sharing for these scenarios?

A) For Partner A, implement Databricks-to-Databricks sharing (D2D) with Unit Catalog integration and no-token exchange system. For Partner B, use open sharing protocol (D2O) with either bearer tokens or OIDC federation for authentication, ensuring both approaches maintain robust security and governance.
B) Open sharing protocol (D2O) should be used for both partners because it provides better security than D2D sharing. The bearer token approach is always more secure than Unity Catalog's native authentication.
C) Both partners should use the same Delta Sharing approach since security requirements are identical. You should create bearer tokens for both partners and use the open sharing protocol (D2O) for maximum compatibility.
D) Databricks-to-Databricks sharing (D2D) can only be used within the same cloud provider, so you must use open sharing (D2O) for any cross-cloud scenarios. Unit Catalog governance is not available when sharing with external platforms.

Solutions: