Exam dbt-Analytics-Engineering Questions, dbt-Analytics-Engineering PDF Questions

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Weight	Objectives
Leveraging dbt State	5%	- State-aware operations - State management
Developing dbt Models	20%	- Model optimization 1. Performance tuning 2. Model contracts - Model design and structure 1. Ref and source functions 2. Incremental models 3. Materialization types
Implementing dbt Tests	10%	- Test configuration and execution - Built-in tests - Custom tests
Debugging and Error Resolution	15%	- Identifying modeling errors - Debugging techniques - Resolving data quality issues
Managing Data Pipelines	15%	- Pipeline orchestration - Deployment strategies - CI/CD integration
dbt Models Governance	15%	- Version control integration - Naming conventions and standards - Project organization and structure
Creating and Maintaining Documentation	10%	- Generating documentation - Documentation standards - Descriptions and metadata
External Dependencies	10%	- External sources integration - Managing snapshots - Using packages

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q291-Q296):

NEW QUESTION # 291
(Multiple Select)

A. Upstream data sources update on a predictable cadence (e.g., daily extracts).
B. You need to frequently load incremental data using dbt's snapshot feature.
C. Downstream Bl dashboards rely on up-to-date data transformed by your dbt models-
D. Your data warehouse has time-based pricing tiers, and you need models to refresh during off-peak hours.

Answer: A,C

Explanation:
B aligns model runs with data availability. C ensures Bl dashboards reflect the latest data. A is cost optimization, not a core freshness requirement. D snapshots are more about change tracking than regular updates.

NEW QUESTION # 292
(Multiple Select)

A. database
B. test-paths
C. model-paths
D. materialized: view

Answer: B,C

Explanation:
model-paths and test-paths specify project directory structures- Options C would be within a model configuration, and D could be in a profile.

NEW QUESTION # 293
Your dbt project pulls data from a SaaS application using a third-party adapter. You observe performance issues. Where might you start optimizing?

A. Investigate the third-party adapter's settings or documentation for potential bottlenecks.
B. Check your dbt_project.yml for project-level performance settings.
C. Configure the source as an incremental materialization within your project file.
D. Review the source definitions to see if unnecessary data is being selected.

Answer: A

Explanation:
Third-party adapters often introduce bottlenecks. Start with optimizing whats specific to the adapter The others might help in some cases but are less directly dependent on the external data source.

NEW QUESTION # 294
You add a new seed file. Here's a snippet of your dbt_project.yml:YAML

A. Specifying column_types directly under seeds is invalid in a dbt_project_yml.
B. The "+" is incorrect for nested elements in this context
C. The syntax within the column_types section is incorrect
D. You cannot enable a seed file using the enabled property.

Answer: A

Explanation:
column_types config applies to individual seeds, not within the general seeds section. The others might be errors in different scenarios but less likely in this case-

NEW QUESTION # 295
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. A wide table with columns for each potential filtering combination (country, product category, acquisition channel, etc.).
B. Pre-calculate all possible cohort and dimension combinations as an incremental model.
C. Introduce a JSON column to store dimensions dynamically, reducing the number of columns.
D. Normalize the cohort data and dimensions, using joins for analysis.

Answer: D

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

NEW QUESTION # 296
......

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