dbt-Analytics-Engineering Test Assessment | dbt-Analytics-Engineering Reliable Test Review

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Transformation Techniques25%- Refactoring and incremental models
- Common table expressions and subqueries
- Jinja templating
- Macros and packages
Topic 2: Testing and Documentation20%- dbt docs and DAG visualization
- Schema tests (unique, not_null, accepted_values, relationships)
- Documentation generation
- Custom data tests
Topic 3: dbt Fundamentals15%- dbt workflow and best practices
- dbt project structure
- dbt Core vs dbt Cloud
Topic 4: Models25%- Sources and references
- Seeds
- Writing and managing SQL models
- Snapshots
- Materializations (table, view, ephemeral, incremental)
Topic 5: Deployment and Orchestration15%- Git version control integration
- Jobs and scheduling in dbt Cloud
- Environments (dev, staging, prod)
- CI/CD with dbt Cloud

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q103-Q108):

NEW QUESTION # 103
You frequently need to debug model failures mid-DAG during development. Which of the following dbt features would be MOST helpful in this scenario?

Answer: D

Explanation:
--fail-fast instructs dbt to stop processing as soon as a model fails, making it great for debugging a chain without processing everything every time.


NEW QUESTION # 104
You have just executed dbt run on this model:
select * from {{ source("{{ env_var('input') }}", 'table_name') }}
and received this error:
Compilation Error in model my_model
expected token ':', got '}'
line 14
{{ source({{ env_var('input') }}, 'table_name') }}
How can you debug this?

Answer: A

Explanation:
This error is caused by invalid Jinja syntax, specifically by nesting {{ }} blocks inside another Jinja expression. The expression:
{{ source("{{ env_var('input') }}", 'table_name') }}
compiles to:
{{ source({{ env_var('input') }}, 'table_name') }}
Here, Jinja sees {{ inside another {{ ... }} block. Jinja does not allow nested print statements like this; instead, functions should be called directly inside a single pair of curly braces. The parser encounters an unexpected } where it expects part of a valid expression (hence "expected token ':', got '}'"), which is a classic symptom of mismatched or nested curly braces.
The correct usage is:
select * from {{ source(env_var('input'), 'table_name') }}
In this form, env_var('input') is evaluated first, and its result is passed as the first argument to source() within one Jinja expression.
Option C is therefore the correct debugging approach: inspect your Jinja and look for incorrectly nested curly brackets. Options A and D are generic and don't address the root cause, while B talks about quoting in SQL, which is not the problem-the error arises before SQL compilation, at Jinja parse time.


NEW QUESTION # 105
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?

Answer: D

Explanation:
Incremental models are designed for metrics like this. They minimize processing overhead while ensuring the rolling average stays up-to-date. Options A and B are computationally expensive, while D doesn't address storage for reuse.


NEW QUESTION # 106
You're working in a highly collaborative environment. How could you manage contributions and updates to complex lineage macros to ensure maintainability and prevent conflicts?

Answer: A

Explanation:
A Version control is essential for tracking changes and collaboratiom B: Style guides and reviews improve code quality and reduce errors. C: Controlled access can be important, while still allowing for collaboration through review processes.


NEW QUESTION # 107
16. Your tests folder looks like:
tests
### generic
### furniture_customers_test.sql
macro_stg_tpch_orders_assert_pos_price.sql
macro_stg_tpch_suppliers_assert_pos_acct_bal.sql
stg_tpch_orders_assert_positive_price.sql
You run the command:
dbt test --select 'test_type:singular'
What will the command run?
Options from screenshot:

Answer: C

Explanation:
In dbt, a singular test is any SQL file placed directly inside the tests/ directory-not inside the tests/generic/ folder. Singular tests contain a custom SQL query where returning any rows means failure. They are distinct from generic tests, which are YAML-defined and live inside the generic directory, often referencing macros.
Looking at the folder structure:
In tests/generic/
* furniture_customers_test.sql # This is a generic test, not a singular test.
In the root tests/ directory
* macro_stg_tpch_orders_assert_pos_price.sql # singular test
* macro_stg_tpch_suppliers_assert_pos_acct_bal.sql # singular test
* stg_tpch_orders_assert_positive_price.sql # singular test
When you run:
dbt test --select 'test_type:singular'
dbt selects only singular tests, meaning tests that are individually written SQL files in the top-level tests/ directory.
Therefore, dbt will run:
* macro_stg_tpch_orders_assert_pos_price
* macro_stg_tpch_suppliers_assert_pos_acct_bal
* stg_tpch_orders_assert_positive_price
It will not run furniture_customers_test, because that file is inside tests/generic/, which is reserved for template-based generic tests and is not classified as singular.
Thus, the correct answer is Option C.


NEW QUESTION # 108
......

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