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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Documentation and Lineage	- dbt documentation system 1. Model descriptions and metadata 2. Auto-generated docs site - Data lineage understanding 1. Directed acyclic graph (DAG) 2. Dependency tracking with ref()
dbt Core Concepts	- Models and materializations 1. Ref and source functions 2. Views, tables, incremental models - Project structure and configuration 1. Packages and dependencies 2. dbt_project.yml configuration
Deployment and Orchestration	- Environments and workflows 1. Version control with Git 2. Development vs production environments - Running dbt in production 1. dbt Cloud and job scheduling 2. CI/CD integration patterns
Analytics Engineering Foundations	- SQL proficiency for analytics 1. Joins, aggregations, and window functions 2. Data modeling in SQL - Modern data stack concepts (ELT vs ETL) 1. Role of dbt in analytics engineering 2. Warehouse-centric transformation workflows
Testing and Data Quality	- Built-in and custom tests 1. Generic tests (unique, not null, relationships) 2. Custom SQL tests - Data validation strategies 1. CI-based validation workflows 2. Schema testing practices

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q352-Q357):

NEW QUESTION # 352
(Multiple Select)

A. Create views on top of dbt model tables, providing a stable abstraction layer for the Bl tools.
B. Establish a naming convention in dbt that external tools can rely upon.
C. Instruct dbt to rename columns rather than dropping and recreating them during updates.
D. Avoid refactoring dbt models that are directly queried by external tools.

Answer: A

Explanation:
B decouples the tools from the underlying model. A is database dependent, C is fragile, D inhibits improvement

NEW QUESTION # 353
(Multiple Select)

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

Answer: A,B,D

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 # 354
You need a model to track weekly cohort retention, with the ability to slice data across multiple dimensions. The underlying data is voluminous. Which approach lays a good foundation for scalability?

A. Pre-calculate all possible cohort and dimension combinations as an incremental model.
B. A wide table with columns for each potential filtering combination (country, product category, acquisition channel, etc.).
C. Normalize the cohort data and dimensions, using joins for analysis.
D. Introduce a JSON column to store dimensions dynamically, reducing the number of columns.

Answer: C

Explanation:
Normalization aids scalability. Options A and C suffer from combinatorial explosion. While JSON can offer flexibility, query performance can be unpredictable.

NEW QUESTION # 355
You're collaborating on a branch and need to temporarily switch to a different branch to address an urgent hotfix. Which Git command allows you to save your current uncommitted work without interrupting the changes on your active branch?

A. git stage
B. git reset
C. git push
D. git stash

Answer: D

Explanation:
git stash temporarily stores your uncommitted changes, enabling you to switch branches and later reapply those changes using git stash pop.

NEW QUESTION # 356
You're onboarding new developers to your dbt project. To simplify their setup, you want to provide a standard profiles.yml template. What should you consider when doing this?

A. Providing example dbt commands as comments directly within the file to guide new users.
B. Including different target configurations to illustrate switching between development and production.
C. Referencing environment variables to allow for easy customization by developers.
D. Prepopulating common credentials to make the initial setup hassle-free.

Answer: A,B,C

Explanation:
B promotes flexibility and security (avoids storing sensitive data). C demonstrates good practices. D enhances usability A is a major security risk!

NEW QUESTION # 357
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