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dbt Labs dbt Analytics Engineering Certification - dbt-Analytics-Engineering Exam Practice Test

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Total 359 questions

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Question 1

While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
Model A references Model B, which in turn references Model C.
What's a potential downside of this pattern?

A. Model dependencies become harder to track and understand. B. Test results might become less reliable. C. Decreased performance due to unnecessary materializations. D. Version control conflicts become more likely.

Discussion 0

Correct Answer: A Vote an answer

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Question 2

Your team decides to strictly enforce a linear history on the main branch. How does this decision impact your development and merge workflow?

A. All of the above. B. Code reviews might need to focus on the overall change in the pull request instead of individual commits. C. Pull requests would always show a single commit upon merging with the main branch. D. Feature branches would likely need to utilize git rebase before merging.

Discussion 0

Correct Answer: A Vote an answer

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Question 3

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)

A. Utilize snapshots to capture the state of the raw table before the bulk updates. B. Implement incremental materializations if possible. C. Schedule dbt jobs to run after the bulk updates are typically complete. D. Add retries with a delay to any 'ref calls referencing this table.

Discussion 0

Correct Answer: A,C Vote an answer

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Question 4

You want to standardize descriptions across a large number of models that share the same underlying source schemas. Which approach might be the most efficient?

A. Write a Jinja macro that dynamically generates descriptions based on metadata. B. Create a CSV lookup file and maintain custom source descriptions within the file. C. Manually copy and paste the descriptions into each model's YAML file. D. Focus on using a version control system and enforce descriptions directly within the source system.

Discussion 0

Correct Answer: A Vote an answer

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Question 5

You've implemented the built-in dbt.get_column_values macro to display sample data values from a source column directly on the DAG. However, you notice performance issues when loading the docs. Which optimization strategy could you consider?

A. Increase the compute resources allocated to your dbt documentation generation process. B. Modify the macro to only retrieve sample values during development and not for production documentation. C. Replace dbt_get_column_values with a custom macro that only fetches the first few sample values. D. Utilize a dbt snapshot to materialize the macro results instead of computing them on the fly.

Discussion 0

Correct Answer: B,C,D Vote an answer

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Question 6

You're planning your production dbt deployment strategy. When deciding between completely separate development and deployment environments vs. using different schemas within a single data warehouse, what are I key factors to weigh?

A. The need to collaborate between developers with varying skill levels. B. The complexity of your dbt project and the number of models. C. The desired level of isolation and access control granularity. D. Your data warehouse's pricing model and how it charges for resource usage.

Discussion 0

Correct Answer: A,C,D Vote an answer

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Question 7

(Multiple Select)

A. Avoid refactoring dbt models that are directly queried by external tools. B. Instruct dbt to rename columns rather than dropping and recreating them during updates. C. Establish a naming convention in dbt that external tools can rely upon. D. Create views on top of dbt model tables, providing a stable abstraction layer for the Bl tools.

Discussion 0

Correct Answer: D Vote an answer

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Question 8

You need to regularly run performance tests to benchmark a time-sensitive incremental model. These tests involve more complex setup than standard dbt tests. How could you efficiently integrate them into your workflow?

A. Create a dbt operation (macro) to encapsulate the test logic and invoke it as needed. B. Write the tests as generic tests and use dbt's built-in warning thresholds. C. Convert them into dbt seeds to easily execute them alongside model runs- D. Define the performance tests as their own dbt project, triggered separately-

Discussion 0

Correct Answer: A,D Vote an answer

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Question 9

Your team uses a custom macro to generate model descriptions dynamically. However, these descriptions don't appear in the DAG visualization within the documentation. Which of the following might cause this issue?

A. Dynamically generated descriptions are incompatible with DAG visualizations in dbt B. The generated documentation site might be cached, preventing the updated descriptions from appearing. C. The macro might not be returning the description in the standard format that dbt documentation expects. D. Custom macros always require explicit configuration in your dbt_project.yml file to be rendered in the DAG-

Discussion 0

Correct Answer: B,C,D Vote an answer

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Question 10

(Multiple Select)

A. Enable email notifications on both job success and failure. B. Schedule the job to run less frequently to avoid overloading the data warehouse. C. Consider a CI/CD process that deploys new model changes to a pre-production environment for validation first. D. Run dbt tests automatically as part of the job.

Discussion 0

Correct Answer: A,C,D Vote an answer

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Question 11

You discover an intermittent issue where your models sometimes produce incorrect results. After investigation, the problem seems to occur when the source data contains a particular combination of unexpected values. How would you best address this?

A. Add pre-processing logic within the model to clean or filter out the problematic data. B. Write a custom dbt test to explicitly identify the bad data scenario. C. Modify the model to ignore the rows causing the issue. D. Raise an issue with the team responsible for the upstream data source to fix the error at its origin.

Discussion 0

Correct Answer: B,D Vote an answer

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Question 12

Your company is adopting a "data mesh" philosophy. How might this impact how you structure and use dbt projects?

A. dbt's role becomes less important in a data mesh architecture. B. No change in how dbt works, as it is a technology-agnostic tool. C. Stricter standardization of syntax and project structure is needed. D. Increased focus on decentralized model ownership by domain-specific teams.

Discussion 0

Correct Answer: D Vote an answer

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Total 359 questions

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