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| Section | Weight | Objectives |
|---|---|---|
| Developing dbt Models | 20% | - Model optimization
|
| Creating and Maintaining Documentation | 10% | - Generating documentation - Documentation standards - Descriptions and metadata |
| dbt Models Governance | 15% | - Naming conventions and standards - Project organization and structure - Version control integration |
| External Dependencies | 10% | - External sources integration - Managing snapshots - Using packages |
| Managing Data Pipelines | 15% | - Deployment strategies - Pipeline orchestration - CI/CD integration |
| Debugging and Error Resolution | 15% | - Resolving data quality issues - Identifying modeling errors - Debugging techniques |
| Leveraging dbt State | 5% | - State-aware operations - State management |
| Implementing dbt Tests | 10% | - Built-in tests - Test configuration and execution - Custom tests |
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NEW QUESTION # 70
32. You are creating a fct_tasks model with this CTE:
with tasks as (
select * from {{ ref('stg_tasks') }}
)
You receive this compilation error in dbt:
Compilation Error in model fct_tasks (models/marts/fct_tasks.sql)
Model 'model.dbt_project.fct_tasks' (models/marts/fct_tasks.sql) depends on a node named 'stg_tasks' which was not found Which is correct? Choose 1 option.
Options:
Answer: A
Explanation:
The dbt compilation error explicitly states that the model fct_tasks depends on a node named stg_tasks, but dbt cannot find any resource with that name in the project. dbt resolves ref('stg_tasks') at compile time by searching for a model, seed, or source named stg_tasks. When no such model exists, dbt raises the exact error shown: "depends on a node named 'stg_tasks' which was not found." This error occurs before execution and is unrelated to whether the table exists in the warehouse. For dbt, the existence of a warehouse table is irrelevant during compilation-only the presence of a declared dbt resource matters. Therefore, option C (no table in the warehouse) cannot cause this error.
Option A is incorrect because ephemeral models still count as dbt models, and dbt can resolve ref() to them without problem.
Option D is wrong because defining a model in schema.yml is optional and unrelated to dbt's ability to find the model. Tests and documentation require YAML entries, but model definitions do not.
Thus, the only correct explanation is that no model file named stg_tasks.sql exists under /models, making Option B the correct choice.
NEW QUESTION # 71
Given this dbt_project.yml:
name: "jaffle_shop"
version: "1.0.0"
config-version: 2
profile: "snowflake"
model-paths: ["models"]
macro-paths: ["macros"]
snapshot-paths: ["snapshots"]
target-path: "target"
clean-targets:
- "logs"
- "target"
- "dbt_modules"
- "dbt_packages"
models:
jaffle_shop:
orders:
materialized: table
When executing a dbt run your models build as views instead of tables:
19:36:14 Found 1 model, 0 tests, 0 snapshots, 0 analyses, 179 macros, 0 operations, 0 seed files, 0 sources, 0 exposures, 0 metrics
19:36:16 Concurrency: 1 threads (target='default')
19:36:17 Finished running 1 view model in 3.35s.
19:36:17 Completed successfully
19:36:17 Done. PASS=1 WARN=0 ERROR=0 SKIP=0 TOTAL=1
Which could be a root cause of why the model was not materialized as a table?
The target-path is incorrectly configured.
Answer: B
Explanation:
The behavior described-dbt running the orders model as a view despite being explicitly configured as a table
-indicates that dbt is not correctly detecting or applying the model-level configuration during compilation.
dbt relies heavily on the target-path directory to write compiled SQL, manifest files, and run artifacts. If the target-path is misconfigured, pointing to a location that dbt does not handle correctly or that overlaps with another folder used internally, dbt may fail to load the correct configuration from the merged project settings.
When dbt cannot locate the compiled configuration for a model, it defaults to its standard materialization type, which is view. This explains why the logs show:
"Finished running 1 view model"
even though the dbt_project.yml clearly declares:
materialized: table.
Additionally, the logs indicate no warnings or parsing errors, meaning dbt ran successfully but with incorrect settings-another indicator of configuration metadata being overridden or misplaced due to an incorrect target- path.
By resolving the target-path issue, dbt will successfully load the model configuration and materialize the orders model as a table as intended.
NEW QUESTION # 72
Your stakeholders require robust data visualization and dashboarding capabilities beyond what dbt itself offers. Which of the following would be good pairings with dbt to address this need?
Answer: A
Explanation:
Modern Bl tools specialize in taking transformed data from dbt and creating rich, interactive visualizations and dashboards for end-users. The other options have their places in the data stack, but not for primary dashboarding.
NEW QUESTION # 73
Which two are true for a dbt retry command?
Choose 2 options.
Answer: B,C
NEW QUESTION # 74
Your dbt project contains sensitive dat
a. You need to load seed data (e.g., lookup tables) while ensuring it's not accidentally committed to version control. How can you best achieve this?
Answer: C
Explanation:
Seed files designed for local use should be kept out of version control. While the other options have merits, they don't directly prevent sensitive data from being committed.
NEW QUESTION # 75
......
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