dbt Cloud deployment - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

What is the primary purpose of dbt Cloud deployment?

Choose the main reason why teams use dbt Cloud deployment in their data projects.

A To automate the execution of data transformations and manage version control.

B To replace SQL with a new programming language for data analysis.

C To store raw data from various sources in a data lake.

D To create visual dashboards for business users without coding.

💡 Hint

Think about what dbt Cloud helps automate and manage in data workflows.

dbt Cloud deployment automates running SQL-based data transformations and integrates with version control systems to manage code changes.

❓ Predict Output

intermediate

Output of dbt run command in dbt Cloud

What is the expected output after successfully running dbt run in dbt Cloud?

dbt

Running with dbt=1.4.0
Found 3 models, 0 tests, 0 snapshots, 0 analyses, 0 macros

19:20:15 | Concurrency: 1 threads (target='dev')
19:20:15 | 
19:20:15 | 1 of 3 START table model my_model_a................ [RUN]
19:20:20 | 1 of 3 OK created table model my_model_a........... [SUCCESS 5s]
19:20:20 | 2 of 3 START table model my_model_b................ [RUN]
19:20:25 | 2 of 3 OK created table model my_model_b........... [SUCCESS 5s]
19:20:25 | 3 of 3 START table model my_model_c................ [RUN]
19:20:30 | 3 of 3 OK created table model my_model_c........... [SUCCESS 5s]
19:20:30 | 
19:20:30 | Finished running 3 table models in 15.0s.

A No output is shown after running the command.

B An error message indicating missing dependencies for models.

C A warning about deprecated syntax but models still run.

D All models run successfully with messages showing start and success times for each model.

💡 Hint

Look for messages indicating model execution status.

The output shows each model starting and completing successfully with timing details, indicating a successful run.

❓ data_output

advanced

Result of a dbt test run with failing tests

Given the following dbt test output, how many tests failed?

Running with dbt=1.4.0
Found 2 tests, 0 models

19:45:10 | 1 of 2 START test not_null_test on column user_id in model users [RUN]
19:45:12 | 1 of 2 FAIL not_null_test on column user_id in model users [FAIL]
19:45:12 | 2 of 2 START test unique_test on column email in model users [RUN]
19:45:14 | 2 of 2 PASS unique_test on column email in model users [PASS]
19:45:14 | 
19:45:14 | Finished running 2 tests in 4.0s.
19:45:14 | 1 FAIL, 1 PASS

A Both tests failed.

B 1 test failed and 1 test passed.

C Both tests passed successfully.

D No tests were run.

💡 Hint

Check the lines with PASS and FAIL keywords.

The output shows one test failed and one test passed, clearly indicated by the FAIL and PASS messages.

🔧 Debug

advanced

Identify the error in this dbt Cloud deployment YAML snippet

What error will occur when deploying this dbt_project.yml snippet?

name: my_project
version: '1.0'
config-version: 2
profile: my_profile
source-paths:
  - models
target-path: target
clean-targets:
  - target
  - dbt_modules
models:
  my_project:
    +materialized: table
    staging:
      +materialized: view
    marts:
      +materialized: incremental
      +incremental_strategy: delete+insert

A KeyError because 'models' key is missing.

B No error; the YAML is valid and deploys successfully.

C SyntaxError due to invalid incremental_strategy value 'delete+insert'.

D TypeError because version is a string instead of a number.

💡 Hint

Check the allowed values for incremental_strategy in dbt documentation.

The incremental_strategy value should be 'delete+insert' with a plus sign, but dbt expects 'delete+insert' exactly; however, the plus sign is valid. Actually, the error is that the plus sign is not allowed as a character in YAML keys without quotes, but here it's a value. The real error is that the value should be 'delete+insert' as a string, but YAML interprets '+' as a special character if unquoted. So the error is a YAML parsing error due to unquoted string with plus sign.

🚀 Application

expert

Analyzing dbt Cloud deployment logs for performance bottlenecks

You have the following dbt Cloud run log snippet:

19:30:00 | 1 of 4 START table model sales................ [RUN]
19:30:30 | 1 of 4 OK created table model sales........... [SUCCESS 30s]
19:30:30 | 2 of 4 START table model customers............ [RUN]
19:30:32 | 2 of 4 OK created table model customers....... [SUCCESS 2s]
19:30:32 | 3 of 4 START table model products............. [RUN]
19:31:32 | 3 of 4 OK created table model products........ [SUCCESS 60s]
19:31:32 | 4 of 4 START table model orders............... [RUN]
19:31:35 | 4 of 4 OK created table model orders.......... [SUCCESS 3s]
19:31:35 | Finished running 4 table models in 95.0s.

Which model is the main performance bottleneck in this deployment?

A products model, because it took 60 seconds to run.

B sales model, because it started first.

C orders model, because it finished last.

D customers model, because it took 2 seconds.

💡 Hint

Look at the time each model took to run.

The products model took the longest time (60 seconds), making it the main bottleneck slowing down the deployment.