PDE Maintaining and Automating Data Workloads Practice Question
A data engineer needs to set up a Dataplex data quality scan to run weekly on a BigQuery table. The scan should check that: (1) the 'email' column is not null, (2) the 'age' column is between 0 and 120, and (3) the 'country_code' column matches a list of valid ISO codes. Which TWO Dataplex features should the engineer use?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Schedule the data quality scan using Dataplex scheduling options
The engineer needs to run the scan weekly, so scheduling (A) is required. For the data quality checks, column rules can be used for both the 'age' range check and the 'country_code' set check, as they apply to all values in the column. The 'email' not null check can also be done as a column rule, making a separate row rule unnecessary. Therefore, only A and C are needed.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Schedule the data quality scan using Dataplex scheduling options
Why this is correct
Correct: Dataplex scheduling allows the scan to run weekly.
- ✗
Use Cloud DLP to inspect the table for data quality issues
Why it's wrong here
Wrong: Cloud DLP is for sensitive data inspection, not data quality scans.
- ✓
Create a column rule for the 'age' column using SQL condition 'age BETWEEN 0 AND 120'
Why this is correct
Correct: Column rules validate column-level conditions like value ranges or set membership. This can handle the age range and country code checks.
- ✗
Create a Dataplex asset and add a tag template to enforce constraints
Why it's wrong here
Wrong: Tag templates are for metadata, not data quality enforcement.
- ✗
Create a row rule for the 'email' column using SQL condition 'email IS NOT NULL'
Why it's wrong here
Wrong: While a row rule could check for non-null, the same check can be done with a column rule, so this is an extra feature not required.
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