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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You typically use dbt run to execute your project. However, you want to trigger a refresh of only models that depend on newly updated source dat a. How could you achieve this?

A) Leverage dbt snapshots to identify changed sources and derive the dependent model list.
B) Configure your sources with the freshness property and run dbt source freshness.
C) Add dbt run to the post-hook of your upstream ETL process, so it triggers upon data arrival.
D) Manually determine dependent models, then use dbt run -m

2. You introduce a custom macro into your project. This is a snippet of your dbt_project.yml:YAML

A) The .sql extension on the file within the macros directory is incorrect.
B) You must place the macros directory within the root of your dbt project.
C) The macro_paths configuration in your dbt_project.yml might be incorrect or missing.
D) The macro's name should only be 'trim', without the 'string_utils' prefix.

3. You receive a comment on your pull request that says, "This change could be implemented more efficiently." What are some effective ways to respond while keeping the code review process constructive?

A) Discuss the potential trade-offs between efficiency and other factors like readability or maintainability.
B) Explain your current approach and the reasoning behind your choices.
C) All of the above
D) Request the reviewer to provide a code snippet demonstrating a more efficient implementation.

4. (Multiple Select)

A) Changes in business logic lead to intentional deviations from the baseline.
B) A change in database vendor for your data warehouse.
C) Natural drift in the distribution of real-world data compared to the static baseline.
D) Changes in the structure or content of the baseline dataset itself.

5. You receive a compilation error stating:Model depends on a node named 'ref data' which was not found

A) Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.
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) Review downstream models that might be referencing ref_data incorrectly.

Solutions: