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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You've included the popular 'dbt-utils' package in your project. Where should you primarily expect to find the models and macros it offers?

A) Within the 'seeds' directory of your dbt project.
B) In the 'dbt_project.yml' file under a 'packages' section.
C) Automatically materialized as new tables in your data warehouse.
D) Within your 'models' directory namespaced to distinguish them from your own models.

2. A marketing team needs a model to calculate the 30-day rolling average of new customer signups. The raw signups table is very large and updated hourly. Which approach strikes the best balance between accuracy and computational efficiency?

A) An incremental model that updates the rolling average calculations only for new signup records.
B) An ephemeral model that calculates the rolling average within a series of complex CTEs.
C) A view materialization that recalculates the 30-day rolling average for each query.
D) A table materialization that completely rebuilds the rolling average daily.

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

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

4. Which two configuration items can be defined under models: in your dbt_project.yml file?
Choose 2 options.

A) schema
B) test
C) tags
D) target
E) source

5. You're setting up baseline comparisons with historical dat
a. Which factors are crucial to consider when selecting or generating the baseline dataset?

A) The baseline should cover a representative time range relevant to your analysis.
B) If using data, the baseline might need sanitization to remove PII-
C) The data volume in the baseline should be large enough to identify statistical patterns.
D) The baseline needs to align in structure (schemas) with the dbt models being tested.

Solutions: