dbt Labs dbt-Analytics-Engineering : dbt Analytics Engineering Certification Exam

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You have a time-sensitive incremental model that must run as quickly as possible whenever new data arrives. What dbt feature or configuration might be crucial for optimization?

A) Use the dbt run -select flag to execute only that specific model.
B) Set the model to refresh on a frequent, time-based schedule.
C) Configure the model to run with maximum possible concurrency.
D) Define appropriate materializations (table, view, incremental) for the model.

2. Your dbt_project.yml contains the following: YAML

A) Compilation Error: Invalid indentation causing a YAML parsing issue.
B) Compilation Error: Using "+" to indicate nested configuration is incorrect in -yml files.
C) No error: This is a valid configuration-
D) Runtime Error: Incorrectly specifying materialization within a nested YAML structure-

3. You're planning your production dbt deployment strategy. When deciding between completely separate development and deployment environments vs. using different schemas within a single data warehouse, what are I key factors to weigh?

A) The desired level of isolation and access control granularity.
B) The complexity of your dbt project and the number of models.
C) The need to collaborate between developers with varying skill levels.
D) Your data warehouse's pricing model and how it charges for resource usage.

4. A new dataset is loaded into your warehouse as a table daily. You need to create a dbt source for it. Which is the MOST essential element to include in your configuration?

A) A detailed description in the dbt_projectyml.
B) An enabled flag set to 'True'
C) Schema and table name.
D) A source freshness check.

5. Your dbt project contains both source descriptions (within your sources.yml file) and model descriptions. You notice that the source descriptions don't appear in the generated docs alongside the relevant models. What's then most likely reason?

A) Source descriptions only appear when you navigate directly to the Sources section of the documentation_
B) A recent update to dbt has changed how source descriptions are integrated into the documentation.
C) Your dbt_projectyml file is lacking the proper configuration to include source descriptions.
D) Source tables need to be explicitly tagged within your model configuration for their descriptions to appear

Solutions: