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dbt Analytics Engineering Study Guide

Everything you need to pass: exam domains, study strategy, and day-by-day preparation plans.

info Exam at a Glance

1200

Questions

90min

Time Limit

70%

To Pass

0.1min

Per Question

bar_chart Where the Questions Come From

Domains ranked by question count. Start with the top ones, they carry the most weight.

1
Topic 1: Developing dbt models
28% 330Q
2
Topic 5: Implementing dbt tests
15% 180Q
3
Topic 3: Debugging data modeling errors
13% 160Q
4
Topic 2: Understanding dbt models governance
11% 130Q
5
Topic 4: Managing data pipelines
10% 120Q
6
Topic 8: Leveraging the dbt state
9% 105Q
7
Topic 6: Creating and Maintaining dbt documentation
8% 90Q
8
Topic 7: Implementing and maintaining external dependencies
7% 85Q
lightbulb

Where to start: The top 3 domains usually cover 40-60% of your exam. Nail those first, then work your way down.

lock_open

The rest of the guide is locked

Study strategy, day-by-day plans, exam day tips, and FAQ.

school How to Study for dbt Analytics Engineering

A simple 5-step plan that works. Follow it in order.

1

Know your domains

Look at the domain breakdown above. The heavier domains get more questions on the real exam. Start there.

2

Go one topic at a time

Pick a domain, study it end to end, then move to the next. Jumping around wastes time.

3

Practice with real questions

Start untimed to learn. Then switch to timed mode once you are comfortable.

4

Read the explanations

Do not just memorize answers. Read why each option is right or wrong.

5

Simulate the real exam

Take a full timed mock exam. No distractions, no pausing. Review everything you got wrong.

calendar_month Pick a Study Schedule

Three options depending on how much time you have. Each one covers all 1200 questions.

Balanced Recommended, ~240 Q/day, 2-3 hrs/day
chevron_right Core Foundations
510 Q

Build your base knowledge

Topic 1: Developing dbt models 330 Topic 5: Implementing dbt tests 180
chevron_right Advanced Topics
290 Q

Deepen understanding

Topic 3: Debugging data modeling errors 160 Topic 2: Understanding dbt models governance 130
chevron_right Applied Scenarios
225 Q

Connect concepts

Topic 4: Managing data pipelines 120 Topic 8: Leveraging the dbt state 105
chevron_right Practice & Review
175 Q

Identify weak spots

Topic 6: Creating and Maintaining dbt documentation 90 Topic 7: Implementing and maintaining external dependencies 85
chevron_right Final Simulation
0 Q

Exam readiness check

Full timed mock exam Review all wrong answers Target weakest domains

tips_and_updates On Exam Day

schedule

Pace yourself

90 min, 1200 questions. About 0.1 min each. Flag hard ones, come back later.

target

Know your target

You need 70% to pass. That is 840 correct out of 1200. You do not need perfect.

psychology

Work smart

Eliminate wrong answers first. If unsure between two, go with your first instinct. Flag anything you want to revisit.

self_improvement

Stay cool

You prepared for this. If a section feels hard, that is normal. Breathe, stay focused, keep moving.

help Common Questions

How many questions are on the dbt Analytics Engineering? expand_more

1200 questions, 90 minutes. That gives you roughly 0.1 minutes per question.

What score do I need to pass? expand_more

70%. You need at least 840 out of 1200 correct.

What is the best way to prepare? expand_more

Start with free practice questions to see where you stand. Use the study guide to fill gaps. Take timed mock exams until you consistently hit the pass score.

Are these questions like the real exam? expand_more

Yes. Same format, same difficulty, same topic distribution. We update the question bank when the exam changes.

Start practicing now

Real exam questions. Instant feedback. Track your progress as you go.