Databricks Certified Data Engineer Professional

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Q_01 domain/d2 · medium single discuss →

A data engineering team wants to ingest data from a SaaS application such as Salesforce, but their required source has no built-in connector in Lakeflow Connect. According to the session material, what approach allows them to still ingest from that source?

A Use community connectors that extend Lakeflow Connect to sources with no out-of-the-box connector
B Fall back to Lakehouse Federation to query the SaaS API directly without ingestion
C Require the vendor to publish a Delta Sharing endpoint before any ingestion can occur
D Manually export the data to cloud object storage and use Auto Loader only

Q_02 domain/d2 · medium single discuss →

In the Lakeflow Connect CRM ingestion walkthrough, which sequence of steps correctly reflects the described 7-step production pipeline flow?

A Connector selection, OAuth setup, DLT pipeline config, object selection, Unity Catalog destination mapping, CDC monitoring, production scheduling
B Delta Sharing setup, JDBC driver install, batch export, schema inference, table cloning, dashboarding, alerting
C Auto Loader config, checkpoint tuning, medallion staging, watermarking, compaction, vacuuming, scheduling
D Lakehouse Federation, catalog registration, credential vaulting, UDF deployment, lineage capture, masking, publishing

Q_03 domain/d2 · medium single

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Q_04 domain/d2 · medium single

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Q_05 domain/d2 · medium single

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Q_06 domain/d2 · medium single

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Databricks Certified Data Engineer Professional

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