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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Topic 1: Documentation and Lineage	- Data lineage understanding 1. Directed acyclic graph (DAG) 2. Dependency tracking with ref() - dbt documentation system 1. Auto-generated docs site 2. Model descriptions and metadata
Topic 2: Deployment and Orchestration	- Environments and workflows 1. Version control with Git 2. Development vs production environments - Running dbt in production 1. dbt Cloud and job scheduling 2. CI/CD integration patterns
Topic 3: Testing and Data Quality	- Data validation strategies 1. Schema testing practices 2. CI-based validation workflows - Built-in and custom tests 1. Generic tests (unique, not null, relationships) 2. Custom SQL tests
Topic 4: Analytics Engineering Foundations	- Modern data stack concepts (ELT vs ETL) 1. Role of dbt in analytics engineering 2. Warehouse-centric transformation workflows - SQL proficiency for analytics 1. Joins, aggregations, and window functions 2. Data modeling in SQL
Topic 5: dbt Core Concepts	- Models and materializations 1. Views, tables, incremental models 2. Ref and source functions - Project structure and configuration 1. dbt_project.yml configuration 2. Packages and dependencies

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q303-Q308):

NEW QUESTION # 303
You need to override a source description at the model level. How would you achieve this most effectively?

A. Use the meta configuration in your model file to provide an alternative description.
B. You cannot override a source description directly in the model.
C. Create a separate column in the source with a model-specific description.
D. Utilize a Jinja macro to dynamically construct the description based on specific conditions.

Answer: A

Explanation:
The meta configuration can be used to override source descriptions and other metadata at the model level. However, make sure to check the documentation for your specific dbt version, as the exact way to do this might vary_

NEW QUESTION # 304
You add a new seed file. Here's a snippet of your dbt_project.yml:YAML

A. You cannot enable a seed file using the enabled property.
B. Specifying column_types directly under seeds is invalid in a dbt_project_yml.
C. The syntax within the column_types section is incorrect
D. The "+" is incorrect for nested elements in this context

Answer: B

Explanation:
column_types config applies to individual seeds, not within the general seeds section. The others might be errors in different scenarios but less likely in this case-

NEW QUESTION # 305
A developer has updated multiple models in their dbt project, materialized as tables and views.
They want to run and test all models upstream and downstream from the modified models that are materialized as views.
What command will achieve this? Choose 1 option.

A. dbt build --select +state:modified, config.materialized:view+
B. dbt build --select +state:modified, +config.materialized:view+
C. dbt build --select +state:modified +materialized:view+
D. dbt build --select @state:modified+, @config.materialized:view+
E. dbt build --select +state:modified+

Answer: B

Explanation:
The requirement is:
* Select all models that have been modified # this uses the state selector:state:modified
* But only those modified models that are materialized as views # this uses the config selector:config.
materialized:view
* Then include upstream and downstream dependencies of those models # this requires adding + around the selectors.
To combine both selectors, dbt uses a comma-separated list within --select, meaning both selectors must match simultaneously.
The correct syntax is:
dbt build --select +state:modified, +config.materialized:view+
This command:
* Finds models whose state is modified.
* Filters them to only those materialized as views.
* Includes upstream (+) and downstream (+) dependencies.
* Runs and tests the selected nodes because dbt build includes running models, tests, seeds, and snapshots.
Why the other options are wrong:
* A and C use invalid selector syntax (config.materialized:view+ must be prefixed with +).
* B only selects modified models but does not filter by materialization type.
* D uses materialized:view, which is invalid without the config. prefix.
Thus, only Option E satisfies all conditions and uses correct dbt selector syntax.

NEW QUESTION # 306
You create tests to validate counts and timestamps against a baseline dataset. The tests fail unexpectedly. What might be possible root causes?

A. Your upstream ETL process has a logic error, leading to incorrect data.
B. Your tests are too strict and need more generous tolerances.
C. There are differences in data types or time zone handling between the model and baseline.
D. The baseline dataset itself has become corrupted

Answer: A,B,C,D

Explanation:
Each scenario could cause a baseline comparison test to fail, covering issues in the data pipeline, the baseline, and the test logic itself.

NEW QUESTION # 307
You want to standardize descriptions across a large number of models that share the same underlying source schemas. Which approach might be the most efficient?

A. Create a CSV lookup file and maintain custom source descriptions within the file.
B. Focus on using a version control system and enforce descriptions directly within the source system.
C. Write a Jinja macro that dynamically generates descriptions based on metadata.
D. Manually copy and paste the descriptions into each model's YAML file.

Answer: C

Explanation:
Jinja macros offer flexibility and automation, making them ideal for generating consistent descriptions across many models based on source metadata

NEW QUESTION # 308
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