A data quality assessment shows that the 'customer_phone' field has a 20% invalid format rate. The data entry team is the source of the data. The governance team is considering two strategies: (A) adding a validation rule to the data entry form to enforce a standard format, and (B) running a weekly script to reformat or flag invalid numbers. Which strategy is the better long-term improvement?

Neither strategy is effective because the issue is with the data entry team, not the data

Strategy A, because it prevents invalid data from entering the system at the source

Strategy B, because it fixes the data without requiring changes to the entry process

Both strategies are equally effective because they both improve the metric

A logistics company loads shipment data into a data warehouse every night. The data quality team wants to be alerted automatically if the number of records loaded tonight drops by more than 10% compared to the 30-day average, as this could indicate a failed or partial extraction. Which monitoring approach best meets this requirement?

Set up a scheduled data quality check that compares row counts against a rolling average and triggers an alert on the threshold breach

Create a dashboard that displays the daily row count for the past week

Run a one-time SQL query to count the rows in the shipment table

Manually review the ETL logs each morning for error messages

A QA team is testing a new data feed that will replace a legacy system. They have a set of 1,000 known-good records from the legacy system and want to verify that the new feed produces the same values for the 'customer_balance' field. Which testing approach is most appropriate?

Verify that the 'customer_balance' field is stored as a decimal data type

Perform a record-level comparison between the new feed and the legacy dataset for the 'customer_balance' field

Check that the new feed has the same number of rows as the legacy dataset

Calculate the average balance in the new feed and compare it to the legacy average

CompTIAData+

Domain 5Objective 4

Implement Quality Assurance DA0-001 Practice Questions (Page 3)

Part of the Data governance domain, which accounts for 14% of the DA0-001 exam. CompTIA does not publish an official question count, but from its 90-minute exam (~35–60 total, ~5–8 in this domain), expect 1–2 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

7concepts

14%of the exam

Questions 11–15

11expert · hard
A data quality assessment shows that the 'customer_phone' field has a 20% invalid format rate. The data entry team is the source of the data. The governance team is considering two strategies: (A) adding a validation rule to the data entry form to enforce a standard format, and (B) running a weekly script to reformat or flag invalid numbers. Which strategy is the better long-term improvement?
Select an answer first
12foundation · easy
A data quality metric that tracks the percentage of records that conform to a defined format, such as phone numbers being in the format (XXX) XXX-XXXX, is known as:
Select an answer first
13application · medium
A logistics company loads shipment data into a data warehouse every night. The data quality team wants to be alerted automatically if the number of records loaded tonight drops by more than 10% compared to the 30-day average, as this could indicate a failed or partial extraction. Which monitoring approach best meets this requirement?
Select an answer first
14application · medium
A healthcare analytics team is evaluating a new patient demographics dataset. They find that 95% of records have a valid date of birth, but 5% are missing. Among the records with dates, 98% match the patient's age field. Which data quality dimensions are most directly being assessed?
Select an answer first
15application · medium
A QA team is testing a new data feed that will replace a legacy system. They have a set of 1,000 known-good records from the legacy system and want to verify that the new feed produces the same values for the 'customer_balance' field. Which testing approach is most appropriate?
Select an answer first

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Implement Quality Assurance DA0-001 Practice Questions (Page 3)

Questions 11–15

A data quality metric that tracks the percentage of records that conform to a defined format, such as phone numbers being in the format (XXX) XXX-XXXX, is known as:

A healthcare analytics team is evaluating a new patient demographics dataset. They find that 95% of records have a valid date of birth, but 5% are missing. Among the records with dates, 98% match the patient's age field. Which data quality dimensions are most directly being assessed?

A QA team is testing a new data feed that will replace a legacy system. They have a set of 1,000 known-good records from the legacy system and want to verify that the new feed produces the same values for the 'customer_balance' field. Which testing approach is most appropriate?

Keep studying — Data governance