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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Models	25%	- Sources and references - Writing and managing SQL models - Snapshots - Seeds - Materializations (table, view, ephemeral, incremental)
Topic 2: Testing and Documentation	20%	- Custom data tests - Documentation generation - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization
Topic 3: dbt Fundamentals	15%	- dbt workflow and best practices - dbt project structure - dbt Core vs dbt Cloud
Topic 4: Data Transformation Techniques	25%	- Macros and packages - Jinja templating - Common table expressions and subqueries - Refactoring and incremental models
Topic 5: Deployment and Orchestration	15%	- Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - CI/CD with dbt Cloud - Git version control integration

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q350-Q355):

NEW QUESTION # 350
(Multiple Select)

A. Testing performance under a simulated heavy load.
B. Validating changes during development before deploying a new dbt model version.
C. Catching subtle errors or discrepancies that may not cause immediate functional issues.
D. Ensuring data synchronization after a migration.

Answer: B,C,D

Explanation:
These tests help ensure alignment between the source of truth and the analytics environment. D (performance testing) is a different type of test.

NEW QUESTION # 351
You receive a compilation error stating:Model depends on a node named 'ref data' which was not found

A. Review downstream models that might be referencing ref_data incorrectly.
B. Check the configuration of the ref_data data source.
C. Search for a model named ref_data within your project or any included packages.
D. Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.

Answer: C

Explanation:
Compilation errors often mean missing dependencies. Start by ensuring ref_data actually exists as a model.

NEW QUESTION # 352
You need to override a source description at the model level. How would you achieve this most effectively?

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

Answer: C

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 # 353
You want to include a glossary of terms in your dbt project docs so that users can easily reference definitions. How could you achieve this?

A. Manually add a separate "Glossary" page to the generated docs after running dbt docs generate_
B. Use the meta configuration in your dbt_project_yml file to define the glossary terms and their meanings.
C. Create a separate YAML file for your glossary, and use a Jinja macro to incorporate it into the documentation template.
D. Utilize a custom macro in your models to automatically generate a glossary section from designated column descriptions.

Answer: C,D

Explanation:
A: A flexible approach with Jinja macros and a glossary file allows you to dynamically include your glossary in the documentation_ D. Custom macros can provide automation by extracting glossary terms from specifically marked column descriptions.

NEW QUESTION # 354
(Multiple Select)

A. Designing tests, where feasible, to examine subsets of data rather than full tables.
B. Configuring tests to run only on models that have changed or have upstream changes.
C. Scheduling less critical tests to run during off-peak hours.
D. Running dbt tests in parallel with dbt model builds whenever possible-

Answer: A,B,C

Explanation:
A targets tests to the most relevant areas, reducing workload. C leverages less busy periods to avoid resource contention. D reduces individual test runtimes through sampling. B is generally inadvisable, as testing and model building might compete for resources.

NEW QUESTION # 355
......

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