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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Deployment and Orchestration	- Running dbt in production 1. CI/CD integration patterns 2. dbt Cloud and job scheduling - Environments and workflows 1. Version control with Git 2. Development vs production environments
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
dbt Core Concepts	- Project structure and configuration 1. Packages and dependencies 2. dbt_project.yml configuration - Models and materializations 1. Ref and source functions 2. Views, tables, incremental models
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
Testing and Data Quality	- Built-in and custom tests 1. Custom SQL tests 2. Generic tests (unique, not null, relationships) - Data validation strategies 1. Schema testing practices 2. CI-based validation workflows

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q335-Q340):

NEW QUESTION # 335
A developer imports a package from a private repository called timeformat for use within their project.
Which statement is correct? Choose 1 option.
Options:

A. "The package can be added with this configuration in the packages.yml file:" packages:
- local: /opt/dbt/timeformat
B. "The package can be installed by running the command dbt build."
C. "Including the package version/revision in the packages.yml file, for private git packages will result in an error."
D. "The package default schema can be overridden in the dbt_project.yml file as:" models:
timeformat:
+schema: timeseries

Answer: D

Explanation:
The only correct statement is Option C, because dbt allows you to override the schema for a package's models directly within your project's dbt_project.yml file. Packages behave just like subfolders within your own project, and therefore the standard configuration pattern applies:
models:
timeformat:
+schema: timeseries
This correctly overrides the package's default schema, allowing all models within the timeformat package to be built into the timeseries schema.
Why the other options are incorrect
Option A
Local packages can be added using a path reference, but that is not what a private Git repository refers to. A private repo must be added using git: plus SSH/HTTPS URL, not local: unless the developer literally cloned the repo into a local directory. The question specifically describes a private repository, so this is not the correct statement.
Option B
Packages are installed using dbt deps, not dbt build.
dbt build only runs models, tests, and snapshots; it does not install dependencies.
Option D
Including a version or revision is allowed for private Git-based packages. You can specify branches, tags, or commit hashes safely in packages.yml.

NEW QUESTION # 336
A common dimension table is used in 80% of your models. What might be a side effect of frequently changing the structure of this dimension?

A. It would cause errors in models that are not directly dependent on this dimension.
B. Compile times would significantly increase across the project.
C. The dbt docs output would become unmanageable.
D. You might need to update a large number of downstream models.

Answer: D

Explanation:
Changing core dimensions has ripple effects on dependent models. While docs could become more complex, the primary issue is maintaining those dependencies.

NEW QUESTION # 337
You're working in a large, enterprise-level dbt deployment. Which aspect of using dbt documentation commands could become especially important in this context?

A. Developing strict documentation contribution guidelines for multiple teams and collaborators.
B. All of the above.
C. Version-controlling your documentation changes alongside your project code.
D. Optimizing the dbt docs generate process for very large projects to minimize execution time.

Answer: B

Explanation:
All aspects become increasingly important in larger projects:A: Optimization matters when many models create more complex documentation. B: Tracking documentation history alongside code is crucial for governance. C: Clear guidelines are essential with many contributors.

NEW QUESTION # 338
You encounter the following source configuration in a dbt_project.yml file. What kind of data source does this represent?

A. A raw table from your data warehouse.
B. A CSV file loaded as a seed.
C. An output from another dbt model.
D. An external data source connected via a dbt adapter.

Answer: A

Explanation:
This configuration indicates a standard data warehouse table with a freshness check and a loaded_at_field.

NEW QUESTION # 339
Regular test runs reveal inconsistent and intermittent test failures, despite no obvious changes to models or source dat a. What debugging strategies might you use?

A. Examine data warehouse performance metrics for resource constraints during test runs.
B. Consider if external dependencies used within dbt tests are themselves unstable.
C. Use dbfs logging feature to add detailed output to the test execution.
D. Temporarily switch to a more consistent testing environment.

Answer: A,B,C

Explanation:
Each helps track down potential causes of non-deterministic test behavior. D might be too drastic early on.

NEW QUESTION # 340
......

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