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Free DA0-002 sample questions

Real questions from the CompTIA Data+ (V2) practice bank, with the correct answer and an explanation for each one. No junk, no filler.

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Showing 6 of 12 free sample questions.

Question 1Choose one

A healthcare provider requires a centralized data repository that can store massive volumes of unstructured medical imaging files while simultaneously supporting highly structured, ACID-compliant SQL transactions for patient billing records. Which of the following data repository architectures is BEST suited for this requirement?

Question 2Choose one

While configuring a new database table to store digitally signed PDF contracts that average 50MB in size, a database administrator asks you to define the data type for the contract column. Which data type is the MOST appropriate for this field?

Question 3Choose 2

An e-commerce company is modernizing its analytics capabilities. The project sponsor wants to implement technologies that can automatically summarize thousands of long-form customer reviews into single-paragraph insights, and also create realistic, synthetic demographic data to safely test a new application without exposing real PII. Which TWO of the following AI concepts should the team implement? (Select TWO)

Question 4Choose one

To ensure consistency across development and production environments, a data engineering team wants to package their Python-based data processing scripts along with all necessary libraries, dependencies, and a lightweight operating system. This package must be able to run identically on a developer's local laptop, an on-premises server, or in AWS. Which infrastructure concept accomplishes this goal?

Question 5Choose one

True or False: MongoDB Compass is a graphical user interface specifically designed for querying and managing relational SQL databases such as PostgreSQL and Microsoft SQL Server.

Question 6Choose one

A retail enterprise recently migrated to a highly scalable cloud data warehouse. They need to ingest massive volumes of raw web clickstream data quickly. To maximize efficiency, the data engineering team decides to load the raw data directly into the warehouse first, and then utilize the cloud warehouse's massive compute power to process and clean the data. Which integration pattern does this describe?

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