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[Hardware] Professional Valid dbt-Analytics-Engineering Exam Format to Obtain dbt Labs Cert

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【Hardware】 Professional Valid dbt-Analytics-Engineering Exam Format to Obtain dbt Labs Cert

Posted at yesterday 05:41      View：9 | Replies：1        Print      Only Author   [Copy Link] 1#
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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q23-Q28):NEW QUESTION # 23
A developer imports a package from a private repository called timeformat for use within their project.
Which statement is correct? Choose 1 option.
Options:
  • A. "The package default schema can be overridden in the dbt_project.yml file as:" models:
    timeformat:
    +schema: timeseries
  • B. "Including the package version/revision in the packages.yml file, for private git packages will result in an error."
  • C. "The package can be added with this configuration in the packages.yml file:" packages:
    - local: /opt/dbt/timeformat
  • D. "The package can be installed by running the command dbt build."
Answer: A
Explanation:
The only correct statement is Option C, because dbt allows you to override the schema for a package's models directly within your project's dbt_project.yml file. Packages behave just like subfolders within your own project, and therefore the standard configuration pattern applies:
models:
timeformat:
+schema: timeseries
This correctly overrides the package's default schema, allowing all models within the timeformat package to be built into the timeseries schema.
Why the other options are incorrect
Option A
Local packages can be added using a path reference, but that is not what a private Git repository refers to. A private repo must be added using git: plus SSH/HTTPS URL, not local: unless the developer literally cloned the repo into a local directory. The question specifically describes a private repository, so this is not the correct statement.
Option B
Packages are installed using dbt deps, not dbt build.
dbt build only runs models, tests, and snapshots; it does not install dependencies.
Option D
Including a version or revision is allowed for private Git-based packages. You can specify branches, tags, or commit hashes safely in packages.yml.

NEW QUESTION # 24
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:
  • A. stg_tasks is configured as ephemeral.
  • B. A stg_tasks has not been defined in schema.yml.
  • C. There is no dbt model called stg_tasks.
  • D. There is no stg_tasks in the data warehouse.
Answer: C
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 # 25
Which command materializes my_model and only its first-degree parent model(s) in the data platform?
Choose 1 option.
  • A. dbt run --select +my_model
  • B. dbt compile --select +1 my_model
  • C. dbt run --select +1 my_model
  • D. dbt compile --select +my_model
  • E. dbt run --select 1+my_model
Answer: C
Explanation:
The correct answer is D: dbt run --select +1 my_model.
In dbt's selection syntax, the + operator is used to include parents (upstream) and/or children (downstream) of a given node. When used as +my_model or my_model+, it means "include all ancestors" or "all descendants" respectively, with no limit on depth.
To limit how many levels of parents or children are included, dbt allows a numeric depth between the + and the resource name. +1 my_model (or my_model+1) means:
* Select my_model
* Plus only its first-degree parents (direct dependencies), and no further ancestors.
Because you want to materialize the models, you must use dbt run, not dbt compile. dbt compile only compiles SQL and does not create or update relations in the data platform.
So:
* Option A (dbt run --select +my_model) would include all upstream ancestors, not just first-degree parents.
* Options B and E use compile, so they don't materialize.
* Option C is just syntactically wrong.
Therefore, the only command that both runs models and limits selection to my_model plus its first-degree parents is dbt run --select +1 my_model.

NEW QUESTION # 26
Which two are true about dbt tests?
Choose 2 options.
  • A. dbt ships natively with unique, not_null, relationships, and accepted_values tests.
  • B. Tests can be built as .sql files within the /tests/ folder.
  • C. Tests for unique and not_null are automatically applied on the primary key of the table.
  • D. You can apply dbt's native tests using the constraints configuration in the model's YAML.
  • E. The full list of tests that can be applied natively can be found on dbt's package hub.
Answer: A,B
Explanation:
The correct answers are C and D.
dbt supports two main categories of tests: generic tests and singular tests. Generic tests are defined in YAML and applied to models or columns, while singular tests are written as SQL files placed in the /tests/ directory.
This makes Option C correct-singular tests must be created as .sql files inside that folder, and dbt will execute each file as a test query.
Option D is also correct. dbt includes four built-in generic tests: unique, not_null, relationships, and accepted_values. These are considered "native" tests and are available without requiring any additional packages. They cover the most common data quality checks and are applied through YAML configurations on models or columns.
Option A is incorrect because dbt does not automatically apply any tests. All tests-native or custom-must be explicitly defined in YAML or created manually. Nothing is inferred from primary keys.
Option B is incorrect because dbt's package hub contains community packages, not the list of native tests.
Native tests are documented directly within dbt's core functionality.
Option E is incorrect because the constraints configuration is used to create database-level constraints on supported warehouses, not to run dbt tests. Tests still require YAML test definitions or .sql files.
Thus, only C and D accurately describe dbt's testing behavior.

NEW QUESTION # 27
Which two statements about Exposures are true?
Choose 2 options.
  • A. Exposures are defined in .sql files.
  • B. Models, sources, and metrics are downstream from Exposures.
  • C. Exposures describe a downstream use of your dbt project.
  • D. You can run, test, and list resources that feed into your Exposure.
  • E. Exposures are materialized in the database.
Answer: C,D
Explanation:
The correct answers are C: Exposures describe a downstream use of your dbt project and E: You can run, test, and list resources that feed into your Exposure.
Exposures in dbt are documentation constructs that describe how the outputs of your dbt project are used downstream-such as dashboards, machine learning models, applications, reporting layers, or external tools.
They exist to provide visibility into the final layer of the analytics workflow, making it easier to track lineage from raw data # models # downstream consumers.
Option C is correct because the official dbt documentation explicitly states that exposures define the downstream use cases of dbt models. They create transparency about dependencies outside the dbt DAG itself.
Option E is also correct. Using commands like dbt ls --select +exposure:<name> or dbt run --select +exposure:
<name>, dbt enables users to run, test, and inspect the upstream resources feeding into the exposure. This is extremely valuable for impact analysis and CI workflows.
Option A is incorrect because exposures are downstream, not upstream-meaning models feed into exposures, not the other way around.
Option B is incorrect because exposures are not materialized in the warehouse; they are metadata stored in YAML.
Option D is incorrect because exposures are defined in YAML files, not SQL files.
Thus, C and E are the correct statements.

NEW QUESTION # 28
......
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Posted at yesterday 09:29        Only Author  2#
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