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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're considering using dbt's --store-failures flag when running tests. Which of the following are potential implications of using this flag?

A) This flag alters how dbt calculates test results
B) Successful models will not be rebuilt if downstream dbt tests are marked as failures.
C) Troublesl-ming failing tests will become easier, as data related to the failure is persisted.
D) The overall dbt test command may run faster-

2. A pull request targeting your main branch has been approved in code review but requires changes after automated tests fail. To address this, you should:

A) Ask the branch author to add new commits fixing the issues. Then merge when tests pass.
B) Directly modify the branch by pushing commits to fix the tests.
C) Disable the automated tests temporarily, merge, and re-enable tests later.
D) Merge the pull request despite the failing tests, resolving the issues in a subsequent fix.

3. You encounter an unexpected dbt run error. Rather than re-running all models, you want to resume from the point of failure. Which of the following, if any, might allow for this?

A) The --fail-fast flag instructs dbt to only execute successful models, making restarts unnecessary
B) Using dbt snapshots to track model states, allowing you to rollback changes as needed
C) dbt unfortunately lacks native support for resumable jobs.
D) dbt Cloud's job retry features for automatically resuming failed job executions.

4. You receive a compilation error stating:Model depends on a node named 'ref data' which was not found

A) Search for a model named ref_data within your project or any included packages.
B) Review downstream models that might be referencing ref_data incorrectly.
C) Check the configuration of the ref_data data source.
D) Examine the SQL within the model where the error occurs for typos or incorrect ref() usage.

5. (Multiple Select)

A) Pre-calculate frequently used periods (e.g., current month, previous month) and store them as intermediate CTEs.
B) Introduce redundant columns in source tables to store pre-calculated percentage changes.
C) Ensure relevant columns in underlying tables have appropriate indexes.
D) Utilize window functions to efficiently compute the difference without self-joins.

Solutions: