Databricks DA-ASSOC Managing Data Guide

Study Databricks DA-ASSOC Managing Data: key concepts, common traps, and exam decision cues.

This chapter is about trustworthy day-to-day analyst work once the data is inside Databricks. The exam wants you to know how to find governed data, clean it sensibly in SQL, and use metadata and lineage to keep analysis reliable.

Work this domain in order

Lesson Focus
2.1 Cleaning & Quality Learn how analysts discover, query, and clean trusted data without drifting away from governed workflow.
2.2 Lineage & Discovery Learn how metadata, tagging, and lineage help analysts find the right asset and validate what they are using.

Fast routing inside this chapter

If the question is really about… Go first to…
cleaning missing values, invalid rows, or working with certified datasets 2.1 Cleaning & Quality
tagging assets, validating trust, or checking dependencies through lineage 2.2 Lineage & Discovery

What strong answers usually do

  • start with trusted governed data when it exists
  • use metadata and lineage as validation tools, not afterthoughts
  • keep cleaning logic clear and traceable instead of hiding bad joins or bad grain under cosmetic fixes

In this section

Revised on Sunday, May 10, 2026