A data science team trains models on a dataset that is updated weekly. They need to compare model performance across different versions of the dataset to ensure improvements are real and not due to data changes. Which tool or technique would best enable this comparison?

A data lineage diagram of the training pipeline

A spreadsheet tracking model accuracy scores

A version control tool for datasets, such as DVC

A SQL query that joins the current data with a calendar table

What is a potential risk of inadequate data documentation?

Misinterpretation of data leading to incorrect business decisions.

A retail company's data platform ingests sales data from multiple point-of-sale systems, applies cleansing rules, and loads it into a central data warehouse. A compliance auditor asks the company to prove that a specific sales figure in a financial report can be traced back to the original transaction. What tool or feature would most efficiently support this audit request?

A database backup and restore procedure

A master data management system for customer records

A data lineage tool that captures metadata from the ETL pipeline

A data quality dashboard showing completeness scores

A data analyst is working on a project that requires a specific version of a dataset that was used in a previous analysis. The dataset is stored in a cloud data lake. The analyst needs to retrieve the exact version from three months ago. What is the most efficient way to accomplish this?

Use the data lake's time-travel or versioning feature

Re-run the original ETL job to recreate the dataset

Query the current dataset and filter by date

Ask the data engineer to restore the dataset from a backup

What is the purpose of a data change management process?

To automatically delete outdated data.

To improve the speed of data queries.

To control and track changes to data structures and definitions.

To encrypt data during transmission.

CompTIAData+

Domain 5Objective 1

Explain Data Management Practices DA0-001 Practice Questions (Page 2)

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 19 practice questions to prepare you well beyond it. (estimate)

19questions here

4free pages

8concepts

14%of the exam

Questions 6–10

6application · medium
A data science team trains models on a dataset that is updated weekly. They need to compare model performance across different versions of the dataset to ensure improvements are real and not due to data changes. Which tool or technique would best enable this comparison?
Select an answer first
7foundation · easy
What is a potential risk of inadequate data documentation?
Select an answer first
8application · medium
A retail company's data platform ingests sales data from multiple point-of-sale systems, applies cleansing rules, and loads it into a central data warehouse. A compliance auditor asks the company to prove that a specific sales figure in a financial report can be traced back to the original transaction. What tool or feature would most efficiently support this audit request?
Select an answer first
9application · medium
A data analyst is working on a project that requires a specific version of a dataset that was used in a previous analysis. The dataset is stored in a cloud data lake. The analyst needs to retrieve the exact version from three months ago. What is the most efficient way to accomplish this?
Select an answer first
10foundation · easy
What is the purpose of a data change management process?
Select an answer first

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