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| Certification Vendor: | dbt Labs |
|---|---|
| Exam Name: | dbt Analytics Engineering Certification Exam |
| Exam Number: | dbt-Analytics-Engineering |
| Exam Format: | Multiple choice, Online proctored |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Exam Price: | 200 USD |
| Real Exam Qty: | 65 |
| Related Certifications: | dbt Architect Certification |
| Passing Score: | 65% |
| Certificate Validity Period: | 2 years |
| Recommended Training: | dbt Certification Study Guide dbt Official Documentation |
| Exam Registration: | Official Registration Page |
| Sample Questions: | ![]() |
| Exam Way: | Online, remotely proctored; delivered via Caveon testing platform |
| Pre Condition: | SQL proficiency recommended; 6+ months practical experience with dbt Core or dbt Cloud suggested; no mandatory prerequisites |
| Official Syllabus URL: | https://www.getdbt.com/certifications/analytics-engineer-certification-exam |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Leveraging dbt State | 5% | - State-aware operations - State management |
| Topic 2: Debugging and Error Resolution | 15% | - Identifying modeling errors - Resolving data quality issues - Debugging techniques |
| Topic 3: dbt Models Governance | 15% | - Project organization and structure - Naming conventions and standards - Version control integration |
| Topic 4: Developing dbt Models | 20% | - Model optimization
|
| Topic 5: Implementing dbt Tests | 10% | - Test configuration and execution - Custom tests - Built-in tests |
| Topic 6: Creating and Maintaining Documentation | 10% | - Generating documentation - Descriptions and metadata - Documentation standards |
| Topic 7: External Dependencies | 10% | - External sources integration - Managing snapshots - Using packages |
| Topic 8: Managing Data Pipelines | 15% | - CI/CD integration - Deployment strategies - Pipeline orchestration |
Currently, the dbt-Analytics-Engineering exam's passing score is 65% and the registration fee is 200 USD. Both are dbt Labs's figures and subject to revision — verify them on the official site before you schedule.
dbt Labs recommends these official training resources:
Pair whichever course fits your background with regular engine-based practice for the fullest preparation.
Reliability here is built, not claimed. The dbt-Analytics-Engineering bank is written by a team of IT experts and certified trainers with a wealth of knowledge in the dbt Labs dbt Analytics Engineering Certification field, and we constantly keep it updated. The online test engine is the signature service: it fits the atmosphere of the actual test in advance, supports Windows, Mac, Android, and iOS, carries no installation limits, and lets you practice anytime, anywhere — perfectly suited to IT workers. Download the free sample first to learn about the product, and know that after purchase you may request the latest version at any time on top of 365 days of automatic updates.
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dbt Labs states the following prerequisites for the dbt Labs dbt Analytics Engineering Certification: SQL proficiency recommended; 6+ months practical experience with dbt Core or dbt Cloud suggested; no mandatory prerequisites.
Confirm the details on the official certification page before registering.
According to the latest exam information, the dbt-Analytics-Engineering exam includes 65 questions and allows 120 minutes minutes. The online engine reproduces those conditions so practice matches the formal test's atmosphere.
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A raw source table undergoes periodic bulk updates that temporarily disrupt dependent models when they are running. Which of the following strategies might help prevent errors in these models? (Choose two)
Correct Answer: B,D 🗳️
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You discover that a heavily used model is taking significantly longer to materialize. After investigation, you determine that the complexity of the model's logic is a contributing factor. Which of the following actions is LEAST likely to help improve performance?
Correct Answer: B 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
You need a very niche data transformation that no existing packages address. When should you consider building your own dbt package?
Correct Answer: D 🗳️
Explanation: Only visible for ValidBraindumps members. You can sign-up / login (it's free).
You're considering adding workflow orchestration to manage dependencies between your dbt project, data loading tasks, and the triggering of downstream Bl updates. Which of the following types of tools would be most suitable for this?
Correct Answer: C 🗳️
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You run a new dbt job, but several models don't execute. Logs indicate: "Database Error in model. The error message seems unrelated to your recent model code changes. What's a possible non- SQL cause?
Correct Answer: C 🗳️
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