Explain Data Management Practices DA0-001 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A data engineering team maintains a customer profile table that is updated nightly by an ETL job. A data scientist needs to reproduce a machine learning model trained two weeks ago, but the training script references the current version of the table. What should the team have implemented to allow the data scientist to reproduce the exact dataset used for that training run?

   • AA change management process for the ETL job
   • BA data versioning tool that snapshots the table on each update
   • CA version control system for the ETL job code
   • DA data dictionary documenting the table schema
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A data engineering team is building a new data pipeline that ingests data from a CRM, cleans it, and loads it into a data warehouse. The team wants to ensure that if a data quality issue is found in the warehouse, they can quickly identify which stage of the pipeline caused it. What should the team implement?

   • AA data encryption standard
   • BA data lineage tracking tool
   • CA data retention policy
   • DA data backup strategy
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Why is maintaining comprehensive data documentation important for effective data management?

   • AIt provides context and metadata that enable users to understand, locate, and trust data.
   • BIt automatically improves the performance of data queries.
   • CIt eliminates the need for data governance policies.
   • DIt ensures that data is stored in a secure location.
   Reveal Solution Discussion Select an answer first
5. 4application · easy

   A data analyst is tasked with creating a report from a new data source. The analyst notices that the data source has a field named 'status' with values like 'A', 'I', and 'P'. The analyst is unsure what these codes mean. What is the most appropriate action to ensure the report is accurate?

   • AReplace the codes with descriptive labels based on common sense
   • BConsult the data dictionary or metadata for the data source
   • CExclude the field from the report to avoid confusion
   • DUse the codes as-is and note them in the report
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   How does a data change management process help maintain an accurate version history?

   • ABy preventing any changes to data.
   • BBy automatically correcting data errors.
   • CBy storing data in a single version.
   • DBy documenting each change, including who made it and when.
   Reveal Solution Discussion Select an answer first