A data engineer is developing a small proof of concept in a notebook. When running the entire notebook, cluster usage spikes. The data engineer wants to keep the development experience and get real-time results.
Which cluster meets these requirements?

• A.All-Purpose Cluster with a large fixed memory size
• B.All-Purpose Cluster with autoscaling
• C.Job Cluster with autoscaling enabled
• D.Job Cluster with Photon enabled and autoscaling

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A data engineering team needs to incrementally ingest customer transactions from a SaaS application into the Databricks Data Intelligence Platform with the following capabilities:
Built-in change data capture, including updates and deletes
Automatic schema evolution
Serverless execution with retries and minimal maintenance
OAuth support and basic monitoring
Which solution meets all the requirements?

• A.Use a Lakeflow Connect standard connector, implement MERGE-based CDC, schema evolution, and retries in workflows, and create a dedicated monitoring dashboard.
• B.Use Auto Loader on exported SaaS files and a Lakeflow Spark Declarative Pipeline that calls the SaaS APIs, handling CDC, schema changes, OAuth, and retries in custom code.
• C.Schedule regional batch jobs that call SaaS REST APIs and write directly to Silver tables using custom CDC and schema-evolution logic.
• D.Use a Lakeflow Connect managed connector for the SaaS application with built-in CDC, schema evolution, OAuth, and serverless compute with retries, and process the data downstream using Lakeflow Spark Declarative Pipelines.

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A data engineer wants to track all changes made to a Delta Lake table over time, including inserts, updates, and deletes. The engineer needs to review previous versions of the table for auditing purposes. Which Delta Lake capability provides this functionality?

• A.Caching
• B.Partitioning
• C.Indexing
• D.Time Travel

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A data engineer needs to parse only png files in a directory that contains files with different suffixes. Which code should the data engineer use to achieve this task?

• A.
• B.
• C.
• D.

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A data engineer is working with two tables. Each of these tables is displayed below in its entirety.

The data engineer runs the following query to join these tables together:

Which of the following will be returned by the above query?

• A.Option A
• B.Option B
• C.Option C
• D.Option D
• E.Option E

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