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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. 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) Write a Jinja macro that dynamically generates descriptions based on metadata.
C) Focus on using a version control system and enforce descriptions directly within the source system.
D) Manually copy and paste the descriptions into each model's YAML file.

2. (Multiple Select)

A) You need to apply custom column-level transformations to a raw source.
B) You want to test different loading strategies for a large source table.
C) The source has multiple tables with related schemas requiring standardization.
D) The source data is sensitive and requires role-based access control.

3. Your development environment uses a smaller, sampled dataset compared to production for efficiency. When a new performance-sensitive model is deployed, users report significant slowdowns. What might be some of the potential causes?

A) All of the above-
B) Performance optimizations made in development might not translate directly to the larger production data volumes.
C) Your data warehouse might have different resource configurations or indexing in the production environment.
D) The smaller dataset in development didn't reveal performance issues that become apparent at the scale of production data

4. 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) Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.
C) Check the configuration of the ref_data data source.
D) Search for a model named ref_data within your project or any included packages.

5. (Multiple Select)

A) Tables generally offer the fastest query performance for pre-computed models.
B) Tables are well-suited for datasets that undergo frequent, wholesale changes.
C) Tables, by default, are rebuilt completely with each dbt run.
D) Tables persist their results on disk, consuming storage resources.

Solutions: