DATABRICKS LAKEHOUSE BUNDLED EXAMS
FINAL PAPER 2026 SOLVED QUESTIONS AND
FULL SOLUTION UPDATED
◉ Identify elements of the Databricks Platform Architecture, such as
what is located in the data plane versus the control plane and what
resides in the customer's cloud account.
Answer: 🔹 Control Plane
Managed by Databricks and resides in Databricks' cloud.
Handles workspace management, authentication, and metadata
storage.
Includes Databricks UI, REST APIs, job scheduling, and cluster
management.
Does not process customer data directly.
Data Plane
Runs in the customer's cloud account (AWS, Azure, or GCP).
Handles data processing, computation, and storage.
Includes clusters, notebooks, and execution environments.
Ensures data security by keeping customer data within their own
cloud infrastructure.
What Resides in the Customer's Cloud Account?
Compute resources (VMs, clusters) used for processing.
, Storage buckets (S3, ADLS, GCS) containing raw and processed data.
Networking configurations for secure data access.
This separation ensures security, scalability, and governance,
allowing customers to maintain control over their data while
leveraging Databricks' powerful analytics capabilities.
◉ Differentiate between all-purpose clusters and jobs clusters..
Answer: An all-purpose cluster is designed for interactive, shared
workloads, while a job cluster is created on-demand for specific
tasks and terminates automatically after completion.
◉ Identify how clusters can be filtered to view those that are
accessible by the user..
Answer: Users can filter Databricks clusters by permissions,
workspace settings, and cluster list filters, ensuring they only see
those they have access to.
◉ Identify a scenario in which restarting the cluster will be useful.
Answer: Restarting a Databricks cluster can be useful when
resolving performance issues, configuration changes, or resource
allocation problems. For example, if a cluster experiences memory
leaks, slow execution, or failed jobs due to resource exhaustion,
restarting it can refresh the environment, clear temporary caches,
and ensure optimal performance. Additionally, when updating
FINAL PAPER 2026 SOLVED QUESTIONS AND
FULL SOLUTION UPDATED
◉ Identify elements of the Databricks Platform Architecture, such as
what is located in the data plane versus the control plane and what
resides in the customer's cloud account.
Answer: 🔹 Control Plane
Managed by Databricks and resides in Databricks' cloud.
Handles workspace management, authentication, and metadata
storage.
Includes Databricks UI, REST APIs, job scheduling, and cluster
management.
Does not process customer data directly.
Data Plane
Runs in the customer's cloud account (AWS, Azure, or GCP).
Handles data processing, computation, and storage.
Includes clusters, notebooks, and execution environments.
Ensures data security by keeping customer data within their own
cloud infrastructure.
What Resides in the Customer's Cloud Account?
Compute resources (VMs, clusters) used for processing.
, Storage buckets (S3, ADLS, GCS) containing raw and processed data.
Networking configurations for secure data access.
This separation ensures security, scalability, and governance,
allowing customers to maintain control over their data while
leveraging Databricks' powerful analytics capabilities.
◉ Differentiate between all-purpose clusters and jobs clusters..
Answer: An all-purpose cluster is designed for interactive, shared
workloads, while a job cluster is created on-demand for specific
tasks and terminates automatically after completion.
◉ Identify how clusters can be filtered to view those that are
accessible by the user..
Answer: Users can filter Databricks clusters by permissions,
workspace settings, and cluster list filters, ensuring they only see
those they have access to.
◉ Identify a scenario in which restarting the cluster will be useful.
Answer: Restarting a Databricks cluster can be useful when
resolving performance issues, configuration changes, or resource
allocation problems. For example, if a cluster experiences memory
leaks, slow execution, or failed jobs due to resource exhaustion,
restarting it can refresh the environment, clear temporary caches,
and ensure optimal performance. Additionally, when updating
