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Real Data Build Tool dbt-Analytics-Engineering Dumps

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Exam Name: dbt Analytics Engineering Certification
Certification: dbt Certification
Exam Provider: Data Build Tool
Exam Code: dbt-Analytics-Engineering
Guarantee: 100% Passing Guarantee
Total Questions:
Update on: 27 May, 2024


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Question: 1

Given the snapshot config, how check_cols will be used
config( target_schema=’history’, target_database=’analytics’, strategy=’timestamp’, unique_key=’id’, updated_at=’updated_at’, check_cols=[“col_1”, “col_2”]
A. check_cols will be ignored
B. updated_at column will be used to determine changes first and check_cols will be used in case of any duplicate
C. Snapshot will check all columns in check_cols for changes
D. updated_at and col_1 will be used for snapshot

Answer: D

Question: 2

Given following model code
Select col_1, col_2 From {{ ref(‘model_a’) }}
While running dbt run, following error occurred: table does not exist What is the most likely error (Choose 2)
A. Wrong Database or Schema
B. Not enough permission
C. Wrong Adapter
D. Wrong table name
Answer: A, B

Question: 3

Given following configuration in dbt_project.yml file: target-path: compiled-target where will the artefacts be generated if dbt compile command is issued

A. /target
B. /target-path
C. /compiled-target
D. /target/compiled-target

Answer: C
Question: 4

What best describes var() in dbt

A. function can be used to incorporate Environment Variables from the system into your dbt project
B. can be passed from your dbt_project.yml file into models during compilation
C. outputs a UUID generated for this dbt command. This value is useful when auditing or analyzing dbt invocation metadata.
D. variable returns the installed version of dbt that is currently running

Answer: B

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