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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

Section	Objectives
Deployment and Orchestration	- Running dbt in production 1. dbt Cloud and job scheduling 2. CI/CD integration patterns - Environments and workflows 1. Version control with Git 2. Development vs production environments
dbt Core Concepts	- Models and materializations 1. Views, tables, incremental models 2. Ref and source functions - Project structure and configuration 1. Packages and dependencies 2. dbt_project.yml configuration
Documentation and Lineage	- dbt documentation system 1. Model descriptions and metadata 2. Auto-generated docs site - Data lineage understanding 1. Directed acyclic graph (DAG) 2. Dependency tracking with ref()
Analytics Engineering Foundations	- Modern data stack concepts (ELT vs ETL) 1. Warehouse-centric transformation workflows 2. Role of dbt in analytics engineering - SQL proficiency for analytics 1. Joins, aggregations, and window functions 2. Data modeling in SQL
Testing and Data Quality	- Data validation strategies 1. Schema testing practices 2. CI-based validation workflows - Built-in and custom tests 1. Generic tests (unique, not null, relationships) 2. Custom SQL tests

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dbt Labs dbt Analytics Engineering Certification Exam Sample Questions (Q258-Q263):

NEW QUESTION # 258
A project stakeholder prefers a text-based lineage representation over the graphical DAG. Which of these approaches might be a suitable alternative?

A. Disable the DAG visualization entirely within the generated documentation.
B. Rely on third-party tools that specialize in parsing dbt projects to produce textual lineage outputs
C. Utilize a macro that generates a Markdown list representation of model dependencies.
D. Extend the dbt documentation framework to create a custom text-based lineage view

Answer: B,C,D

NEW QUESTION # 259
You establish a process using dbt tests and snapshots to track data quality changes over time. To maximize the utility of this historical record for troubleshooting, what additional step would be beneficial?

A. Integrate metadata about dbt model versions and schema changes alongside the snapshots.
B. Schedule regular alerts whenever a test result deviates significantly from previous runs.
C. Convert the dbt test results and snapshots into time-series tables for easier trend analysis.
D. Automatically purge snapshots older than a certain date to save storage resources.

Answer: A,B,C

Explanation:
These enhance the historical context and make the data actionable for resolving issues- A might discard valuable information prematurely

NEW QUESTION # 260
Your dbt project contains models that process data with varying levels of sensitivity. Which of the following might be reasons to utilize different schemas or even different targets within your data warehouse for these data sensitivity levels?

A. To implement stricter access controls limiting which users or roles can interact with sensitive data-
B. All of the above-
C. To optimize query performance, as certain models might benefit from specific data warehouse configurations based on their workload.
D. To comply with data governance regulations that mandate separation of different data types.

Answer: B

Explanation:
A: Separate schemas or targets enhance access control granularity. B: Some data workloads might have different performance requirements- C: Compliance often necessitates structured data organization-

NEW QUESTION # 261
Your dbt project contains both source descriptions (within your sources.yml file) and model descriptions. You notice that the source descriptions don't appear in the generated docs alongside the relevant models. What's then most likely reason?

A. A recent update to dbt has changed how source descriptions are integrated into the documentation.
B. Source tables need to be explicitly tagged within your model configuration for their descriptions to appear
C. Source descriptions only appear when you navigate directly to the Sources section of the documentation_
D. Your dbt_projectyml file is lacking the proper configuration to include source descriptions.

Answer: D

Explanation:
The dbt_project.yml file has settings that directly control the inclusion of source descriptions in the generated documentation. Its likely that you need to adjust these settings to display them correctly.

NEW QUESTION # 262
You want to use a YAML anchor to reuse a standard block of descriptive text within multiple models. How would you implement this?

A. Create a YAML anchor within the relevant model file where the text should be reused.
B. Define a Jinja macro for the text block, and then call the macro within your descriptions.
C. Insert a YAML anchor (&) in your dbt_projectyml file and reference it in your model files.
D. YAML anchors are not directly supported in the context of dbt model and source descriptions-

Answer: A

Explanation:
YAML anchors (&) and aliases (*) allow you to define reusable blocks of text within the same YAML file, such as model files or sources.yml.

NEW QUESTION # 263
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