DATA + AI / LEARNING PATHS
Databricks
Build a mental model of the platform, then choose what to study for your work or certification.
CORE LEARNING
Understand the platform, then its decisions.
Start with the platform map, then follow data from ingestion to governed use. AI, Lakebase, and Lakewatch are explained with their confirmed scope and availability.
Foundations course
Read in this order. Each article links to the previous and next chapter.
01. Databricks as a system: data, AI, Lakebase and Lakewatch
Follow a support request across governed analytical data, agent tools, transactional state and security telemetry. Learn which boundary each service owns and which settings change the design.
02. Auto Loader: from arriving files to trustworthy BI
Connect file discovery, checkpoint state, schema decisions, Delta layers and BI grain; reason about settings, recovery, permissions and cost.
03. Lakebase: separate serving data from transactional truth
Design a returns service that reads analytical features and writes operational decisions. Trace synced tables, Postgres transactions, change feeds and LTAP Direct Writes, then reason about keys, scaling, availability and cost.
04. Data-connected AI with Databricks: Agent Bricks and Unity Gateway in practice
Design authorization, meaning, audit, and cost before retrieval quality when connecting AI to enterprise data.
05. Databricks AI roles: Genie, governed agents, memory and evaluation
Assign business questions, agent workflows and coding assistance to the right roles. Follow tool identities, state isolation, budget limits and failure evidence in a support case.
06. Lakewatch: follow security evidence from collection to response
Map security telemetry, normalization, governed evidence, detections and agent-assisted investigation. Use a synthetic AWS-oriented case to distinguish an alert, an incident decision and an executed response.
EXAM PREPARATION
Choose a certification to practise.
8 credentials · 391 original Japanese questions. Review each answer with explanations and official references. Check the current exam guide before taking an exam.
Independent learning material based on public sources. It is not an official question bank. Exercise code has not been run in Databricks; difficulty and passing results have not been calibrated.
Databricks Certified Data Analyst Associate
45 original Japanese questions · Answers, explanations, and official references
Databricks Certified Data Engineer Associate
45 original Japanese questions · Answers, explanations, and official references
Databricks Certified Data Engineer Professional
59 original Japanese questions · Answers, explanations, and official references
Databricks Certified Machine Learning Associate
48 original Japanese questions · Answers, explanations, and official references
Databricks Certified Machine Learning Professional
59 original Japanese questions · Answers, explanations, and official references
Databricks Certified Generative AI Engineer Associate
45 original Japanese questions · Answers, explanations, and official references
Databricks Certified Context Engineer Associate
45 original Japanese questions · Answers, explanations, and official references
Databricks Certified Associate Developer for Apache Spark
45 original Japanese questions · Answers, explanations, and official references
Renewal practice
For existing credential holders. This 25-question set reuses Associate questions and is included in the total above.
Data Engineer Associate Renewal
25 original Japanese questions · Answers, explanations, and official references
Articles cite official documentation, blogs, and videos when used. Community observations are labelled separately. Check each article’s review date, cloud scope, preview status, and exercise status before applying it.