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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: dbt Fundamentals | 15% | - dbt project structure - dbt workflow and best practices - dbt Core vs dbt Cloud |
| Topic 2: Data Transformation Techniques | 25% | - Refactoring and incremental models - Common table expressions and subqueries - Macros and packages - Jinja templating |
| Topic 3: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Jobs and scheduling in dbt Cloud - Git version control integration |
| Topic 4: Testing and Documentation | 20% | - Schema tests (unique, not_null, accepted_values, relationships) - Custom data tests - dbt docs and DAG visualization - Documentation generation |
| Topic 5: Models | 25% | - Writing and managing SQL models - Seeds - Materializations (table, view, ephemeral, incremental) - Snapshots - Sources and references |
1. You suspect discrepancies between a raw data source and its corresponding dbt representation. Which of the following would NOT directly help in pinpointing the cause of this mismatch?
A) Comparing the dbt-generated SQL against the raw table's SELECT statement.
B) Checking if any custom macros or tests are modifying the source data.
C) Reviewing the source definition within your dbt_project.yml .
D) Examining any source freshness warnings or errors in recent dbt runs.
2. (Multiple Select)
A) Additional records are appended with new data.
B) The column ordering within the table is changed.
C) A small percentage of records have null values introduced in a field.
D) A column is renamed
3. The dataset raw user activity is critical to several models. You've been informed that a major schema change is scheduled for this source. Select the best way to proactively mitigate the potential impact of this change on your dbt project.
A) Communicate with the relevant data team to create a temporary staging table mirroring the old schema.
B) Create custom data tests that validate the critical columns in raw_user_activity.
C) Pause all dbt jobs until the schema change risk is fully assessed.
D) Run dbt test after the schema changes and address any failures.
4. After merging a large pull request, you notice a critical issue introduced in one of the commits. What actions might be necessary?
A) Use git revert to create a new commit that specifically undoes the problematic changes.
B) Use git cherry-pick to apply specific commits from the reverted change to another branch, effectively restoring the necessary parts.
C) All of the above could be needed as part of the fix.
D) Identify the problematic commit using git log or git blame.
5. (Multiple Select)
A) Snapshots
B) Inspect the manifest.json file.
C) Use the dbt debug command.
D) ref() and source() functions
E) Write a custom Python script to parse dbt models.
F) dbt docs
G) Jinja templating
H) Manually examine the compiled SQL files.
I) dbt test
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C,D | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D,F,G |
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