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RAN-DBDEA-00168
Ranvier · DBDEA

Exam DBDEA Topics: troubleshooting Difficulty: easy

A data engineering team runs a nightly workload of SQL queries and Spark DataFrame transformations over large Delta tables — heavy scans, joins, and aggregations. Their cluster uses a Databricks Runtime with Photon enabled, and a new engineer asks what Photon actually contributes. Which answer is correct?

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  1. A. A vectorized C++ engine that accelerates SQL and DataFrame workloads such as scans, joins, and aggregations
  2. B. A compiler that vectorizes arbitrary Python UDFs so they run as fast as built-in expressions
  3. C. A columnar file format that competes with Delta Lake for the on-disk layout of tables
  4. D. A streaming-only accelerator that applies exclusively to Auto Loader and streaming tables
Reveal answer

Correct answer: A vectorized C++ engine that accelerates SQL and DataFrame workloads such as scans, joins, and aggregations

Reference: https://docs.databricks.com/aws/en/compute/photon

02 — The Myelin Layer · Canonical Discussion

Where the exam tries to trick you — and how those who passed solved it.

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✦ Consolidated Synthesis (Wiki) rev. #1 (baseline) · CC BY-SA 4.0
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Official Answer (A): A vectorized C++ engine that accelerates SQL and DataFrame workloads such as scans, joins, and aggregations

⚓ Official Documentation Anchor: https://docs.databricks.com/aws/en/compute/photon
Ranvier · DBDEA

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